diff --git a/data/workflows.json b/data/workflows.json
index bbc48ae81c1c2ddc97415a98015c2078a4047e0a..3440a0af2fe3a3f3907194da3cd7bbdf1005861a 100644
--- a/data/workflows.json
+++ b/data/workflows.json
@@ -1,228 +1,345 @@
 [
     {
-        "eval_workflow_id": "wf-datareichsanzeiger_tables-eval",
-        "label": "Workflow on data reichsanzeiger_tables",
+        "eval_workflow_id": "wf-datablumenbach_anatomie_1805-eval",
+        "label": "Workflow on data blumenbach_anatomie_1805",
         "metadata": {
             "ocr_workflow": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/minimal_ocr.txt",
-                "label": "OCR Workflow minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/selected_pages_ocr.txt",
+                "label": "OCR Workflow selected_pages_ocr"
             },
             "eval_workflow": {
                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/dinglehopper_eval.txt",
                 "label": "Evaluation Workflow dinglehopper_eval"
             },
             "gt_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-data/blob/main/reichsanzeiger_tables.ocrd.zip",
-                "label": "GT workspace reichsanzeiger_tables"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/blumenbach_anatomie_1805.ocrd.zip",
+                "label": "GT workspace blumenbach_anatomie_1805"
             },
             "ocr_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/reichsanzeiger_tables_ocr.zip",
-                "label": "OCR workspace for reichsanzeiger_tables"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/blumenbach_anatomie_1805_ocr.zip",
+                "label": "OCR workspace for blumenbach_anatomie_1805"
             },
             "eval_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/reichsanzeiger_tables_evaluation.zip",
-                "label": "Evaluation workspace for reichsanzeiger_tables"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/blumenbach_anatomie_1805_evaluation.zip",
+                "label": "Evaluation workspace for blumenbach_anatomie_1805"
             },
             "workflow_steps": [
                 {
-                    "id": "ocrd-tesserocr-recognize",
+                    "id": "ocrd-cis-ocropy-binarize",
                     "params": {
-                        "segmentation_level": "region",
-                        "textequiv_level": "word",
-                        "find_tables": true,
-                        "model": "Fraktur_GT4HistOCR",
+                        "method": "ocropy",
+                        "threshold": 0.5,
+                        "grayscale": false,
+                        "maxskew": 0.0,
+                        "noise_maxsize": 0,
                         "dpi": 0,
-                        "padding": 0,
-                        "overwrite_segments": false,
-                        "overwrite_text": true,
-                        "shrink_polygons": false,
-                        "block_polygons": false,
-                        "find_staves": false,
-                        "sparse_text": false,
-                        "raw_lines": false,
-                        "char_whitelist": "",
-                        "char_blacklist": "",
-                        "char_unblacklist": "",
-                        "tesseract_parameters": {},
-                        "xpath_parameters": {},
-                        "xpath_model": {},
-                        "auto_model": false,
-                        "oem": "DEFAULT"
+                        "level-of-operation": "page"
+                    }
+                },
+                {
+                    "id": "ocrd-anybaseocr-crop",
+                    "params": {
+                        "dpi": 0,
+                        "rulerRatioMax": 50.0,
+                        "rulerRatioMin": 3.0,
+                        "rulerAreaMax": 0.3,
+                        "rulerAreaMin": 0.01,
+                        "rulerWidthMax": 0.95,
+                        "columnAreaMin": 0.05,
+                        "columnSepWidthMax": 0.04,
+                        "marginTop": 0.25,
+                        "marginBottom": 0.75,
+                        "marginLeft": 0.3,
+                        "marginRight": 0.7,
+                        "padding": 10
+                    }
+                },
+                {
+                    "id": "ocrd-skimage-binarize",
+                    "params": {
+                        "method": "li",
+                        "level-of-operation": "page",
+                        "dpi": 0,
+                        "window_size": 301,
+                        "k": 0.34
+                    }
+                },
+                {
+                    "id": "ocrd-skimage-denoise",
+                    "params": {
+                        "level-of-operation": "page",
+                        "dpi": 0,
+                        "protect": 0.0,
+                        "maxsize": 1.0
+                    }
+                },
+                {
+                    "id": "ocrd-tesserocr-deskew",
+                    "params": {
+                        "operation_level": "page",
+                        "dpi": 0,
+                        "min_orientation_confidence": 1.5
+                    }
+                },
+                {
+                    "id": "ocrd-cis-ocropy-segment",
+                    "params": {
+                        "dpi": 0,
+                        "level-of-operation": "region",
+                        "maxcolseps": 20,
+                        "maxseps": 20,
+                        "maximages": 10,
+                        "csminheight": 4,
+                        "hlminwidth": 10,
+                        "gap_height": 0.01,
+                        "gap_width": 1.5,
+                        "overwrite_order": true,
+                        "overwrite_separators": true,
+                        "overwrite_regions": true,
+                        "overwrite_lines": true,
+                        "spread": 2.4
+                    }
+                },
+                {
+                    "id": "ocrd-cis-ocropy-dewarp",
+                    "params": {
+                        "dpi": 0,
+                        "range": 4.0,
+                        "smoothness": 1.0,
+                        "max_neighbour": 0.05
+                    }
+                },
+                {
+                    "id": "ocrd-calamari-recognize",
+                    "params": {
+                        "checkpoint_dir": "qurator-gt4histocr-1.0",
+                        "voter": "confidence_voter_default_ctc",
+                        "textequiv_level": "line",
+                        "glyph_conf_cutoff": 0.001
                     }
                 }
             ],
-            "workflow_model": "Fraktur_GT4HistOCR",
-            "eval_tool": "ocrd-dinglehopper vNone",
+            "workflow_model": "qurator-gt4histocr-1.0",
+            "eval_tool": "ocrd-calamari-recognize v1.0.5 (calamari 1.0.5, tensorflow 2.12.0)",
             "document_metadata": {
                 "data_properties": {
                     "fonts": [
-                        "Antiqua"
+                        "Antiqua",
+                        "Fraktur"
                     ],
-                    "publication_century": "1820-1939",
+                    "publication_century": "1800-1900",
                     "publication_decade": "",
                     "publication_year": "19th century",
-                    "number_of_pages": 5,
-                    "layout": "reichsanzeiger-gt"
+                    "number_of_pages": 3,
+                    "layout": "simple"
                 }
             }
         },
         "evaluation_results": {
             "document_wide": {
-                "wall_time": 530.564159,
-                "cpu_time": 724.869668,
-                "cer_mean": 1.479972651687655,
-                "cer_median": 1.331401349741961,
+                "wall_time": 25.104598,
+                "cpu_time": 24.163375,
+                "cer_mean": 1.0,
+                "cer_median": 1.0,
                 "cer_range": [
-                    1.090097148229395,
-                    1.9778823058446757
+                    1.0,
+                    1.0
                 ],
-                "cer_standard_deviation": 0.3854879135899152,
-                "wer": 1.7910299442503619,
-                "pages_per_minute": 0.5654358571175178
+                "cer_standard_deviation": 0.0,
+                "wer": 1.0,
+                "pages_per_minute": 7.170001288210232
             },
             "by_page": [
                 {
-                    "page_id": "P_1877_7_0059",
-                    "cer": 1.090097148229395,
-                    "wer": 1.4218399401645474
-                },
-                {
-                    "page_id": "P_1883_55_0044",
-                    "cer": 1.2073319135990264,
-                    "wer": 1.4705882352941178
-                },
-                {
-                    "page_id": "P_1929_250_0019",
-                    "cer": 1.331401349741961,
-                    "wer": 1.7407221664994985
+                    "page_id": "phys_0001",
+                    "cer": 1.0,
+                    "wer": 1.0
                 },
                 {
-                    "page_id": "P_1932_300_0488",
-                    "cer": 1.9778823058446757,
-                    "wer": 2.349493487698987
+                    "page_id": "phys_0002",
+                    "cer": 1.0,
+                    "wer": 1.0
                 },
                 {
-                    "page_id": "P_1936_123_0292",
-                    "cer": 1.7931505410232167,
-                    "wer": 1.9725058915946583
+                    "page_id": "phys_0003",
+                    "cer": 1.0,
+                    "wer": 1.0
                 }
             ]
         }
     },
     {
-        "eval_workflow_id": "wf-datasilesius_seelenlust01_1657-eval",
-        "label": "Workflow on data silesius_seelenlust01_1657",
+        "eval_workflow_id": "wf-databallenstedt_delatio_1777-eval",
+        "label": "Workflow on data ballenstedt_delatio_1777",
         "metadata": {
             "ocr_workflow": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/minimal_ocr.txt",
-                "label": "OCR Workflow minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/selected_pages_ocr.txt",
+                "label": "OCR Workflow selected_pages_ocr"
             },
             "eval_workflow": {
                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/dinglehopper_eval.txt",
                 "label": "Evaluation Workflow dinglehopper_eval"
             },
             "gt_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-data/blob/main/silesius_seelenlust01_1657.ocrd.zip",
-                "label": "GT workspace silesius_seelenlust01_1657"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/ballenstedt_delatio_1777.ocrd.zip",
+                "label": "GT workspace ballenstedt_delatio_1777"
             },
             "ocr_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/silesius_seelenlust01_1657_ocr.zip",
-                "label": "OCR workspace for silesius_seelenlust01_1657"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/ballenstedt_delatio_1777_ocr.zip",
+                "label": "OCR workspace for ballenstedt_delatio_1777"
             },
             "eval_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/silesius_seelenlust01_1657_evaluation.zip",
-                "label": "Evaluation workspace for silesius_seelenlust01_1657"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/ballenstedt_delatio_1777_evaluation.zip",
+                "label": "Evaluation workspace for ballenstedt_delatio_1777"
             },
             "workflow_steps": [
                 {
-                    "id": "ocrd-tesserocr-recognize",
+                    "id": "ocrd-cis-ocropy-binarize",
                     "params": {
-                        "segmentation_level": "region",
-                        "textequiv_level": "word",
-                        "find_tables": true,
-                        "model": "Fraktur_GT4HistOCR",
+                        "method": "ocropy",
+                        "threshold": 0.5,
+                        "grayscale": false,
+                        "maxskew": 0.0,
+                        "noise_maxsize": 0,
                         "dpi": 0,
-                        "padding": 0,
-                        "overwrite_segments": false,
-                        "overwrite_text": true,
-                        "shrink_polygons": false,
-                        "block_polygons": false,
-                        "find_staves": false,
-                        "sparse_text": false,
-                        "raw_lines": false,
-                        "char_whitelist": "",
-                        "char_blacklist": "",
-                        "char_unblacklist": "",
-                        "tesseract_parameters": {},
-                        "xpath_parameters": {},
-                        "xpath_model": {},
-                        "auto_model": false,
-                        "oem": "DEFAULT"
+                        "level-of-operation": "page"
+                    }
+                },
+                {
+                    "id": "ocrd-anybaseocr-crop",
+                    "params": {
+                        "dpi": 0,
+                        "rulerRatioMax": 50.0,
+                        "rulerRatioMin": 3.0,
+                        "rulerAreaMax": 0.3,
+                        "rulerAreaMin": 0.01,
+                        "rulerWidthMax": 0.95,
+                        "columnAreaMin": 0.05,
+                        "columnSepWidthMax": 0.04,
+                        "marginTop": 0.25,
+                        "marginBottom": 0.75,
+                        "marginLeft": 0.3,
+                        "marginRight": 0.7,
+                        "padding": 10
+                    }
+                },
+                {
+                    "id": "ocrd-skimage-binarize",
+                    "params": {
+                        "method": "li",
+                        "level-of-operation": "page",
+                        "dpi": 0,
+                        "window_size": 301,
+                        "k": 0.34
+                    }
+                },
+                {
+                    "id": "ocrd-skimage-denoise",
+                    "params": {
+                        "level-of-operation": "page",
+                        "dpi": 0,
+                        "protect": 0.0,
+                        "maxsize": 1.0
+                    }
+                },
+                {
+                    "id": "ocrd-tesserocr-deskew",
+                    "params": {
+                        "operation_level": "page",
+                        "dpi": 0,
+                        "min_orientation_confidence": 1.5
+                    }
+                },
+                {
+                    "id": "ocrd-cis-ocropy-segment",
+                    "params": {
+                        "dpi": 0,
+                        "level-of-operation": "region",
+                        "maxcolseps": 20,
+                        "maxseps": 20,
+                        "maximages": 10,
+                        "csminheight": 4,
+                        "hlminwidth": 10,
+                        "gap_height": 0.01,
+                        "gap_width": 1.5,
+                        "overwrite_order": true,
+                        "overwrite_separators": true,
+                        "overwrite_regions": true,
+                        "overwrite_lines": true,
+                        "spread": 2.4
+                    }
+                },
+                {
+                    "id": "ocrd-cis-ocropy-dewarp",
+                    "params": {
+                        "dpi": 0,
+                        "range": 4.0,
+                        "smoothness": 1.0,
+                        "max_neighbour": 0.05
+                    }
+                },
+                {
+                    "id": "ocrd-calamari-recognize",
+                    "params": {
+                        "checkpoint_dir": "qurator-gt4histocr-1.0",
+                        "voter": "confidence_voter_default_ctc",
+                        "textequiv_level": "line",
+                        "glyph_conf_cutoff": 0.001
                     }
                 }
             ],
-            "workflow_model": "Fraktur_GT4HistOCR",
-            "eval_tool": "ocrd-dinglehopper vNone",
+            "workflow_model": "qurator-gt4histocr-1.0",
+            "eval_tool": "ocrd-calamari-recognize v1.0.5 (calamari 1.0.5, tensorflow 2.12.0)",
             "document_metadata": {
                 "data_properties": {
                     "fonts": [
                         "Antiqua",
                         "Fraktur"
                     ],
-                    "publication_century": "1600-1700",
+                    "publication_century": "1700-1800",
                     "publication_decade": "",
-                    "publication_year": "17th century",
-                    "number_of_pages": 5,
-                    "layout": "complex"
+                    "publication_year": "18th century",
+                    "number_of_pages": 3,
+                    "layout": "simple"
                 }
             }
         },
         "evaluation_results": {
             "document_wide": {
-                "wall_time": 13.583684,
-                "cpu_time": 17.039027,
-                "cer_mean": 0.3007055286105995,
-                "cer_median": 0.2951219512195122,
+                "wall_time": 31.663677000000007,
+                "cpu_time": 30.643176,
+                "cer_mean": 1.0,
+                "cer_median": 1.0,
                 "cer_range": [
-                    0.19271623672230653,
-                    0.44970414201183434
+                    1.0,
+                    1.0
                 ],
-                "cer_standard_deviation": 0.10657123719012947,
-                "wer": 0.5174305966287508,
-                "pages_per_minute": 22.08531941703002
+                "cer_standard_deviation": 0.0,
+                "wer": 1.0,
+                "pages_per_minute": 5.6847472262933945
             },
             "by_page": [
                 {
-                    "page_id": "phys_0001",
-                    "cer": 0.44970414201183434,
-                    "wer": 0.7101449275362319
-                },
-                {
-                    "page_id": "phys_0002",
-                    "cer": 0.20913884007029876,
-                    "wer": 0.5104166666666666
-                },
-                {
-                    "page_id": "phys_0003",
-                    "cer": 0.2951219512195122,
-                    "wer": 0.4647887323943662
+                    "page_id": "phys_00003",
+                    "cer": 1.0,
+                    "wer": 1.0
                 },
                 {
-                    "page_id": "phys_0004",
-                    "cer": 0.19271623672230653,
-                    "wer": 0.3870967741935484
+                    "page_id": "phys_00005",
+                    "cer": 1.0,
+                    "wer": 1.0
                 },
                 {
-                    "page_id": "phys_0005",
-                    "cer": 0.35684647302904565,
-                    "wer": 0.5147058823529411
+                    "page_id": "phys_00010",
+                    "cer": 1.0,
+                    "wer": 1.0
                 }
             ]
         }
     },
     {
-        "eval_workflow_id": "wf-databenner_herrnhuterey04_1748-eval",
-        "label": "Workflow on data benner_herrnhuterey04_1748",
+        "eval_workflow_id": "wf-datahuebner_handbuch_1696-eval",
+        "label": "Workflow on data huebner_handbuch_1696",
         "metadata": {
             "ocr_workflow": {
                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/minimal_ocr.txt",
@@ -233,16 +350,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
             },
             "gt_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-data/blob/main/benner_herrnhuterey04_1748.ocrd.zip",
-                "label": "GT workspace benner_herrnhuterey04_1748"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/huebner_handbuch_1696.ocrd.zip",
+                "label": "GT workspace huebner_handbuch_1696"
             },
             "ocr_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/benner_herrnhuterey04_1748_ocr.zip",
-                "label": "OCR workspace for benner_herrnhuterey04_1748"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/huebner_handbuch_1696_ocr.zip",
+                "label": "OCR workspace for huebner_handbuch_1696"
             },
             "eval_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/benner_herrnhuterey04_1748_evaluation.zip",
-                "label": "Evaluation workspace for benner_herrnhuterey04_1748"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/huebner_handbuch_1696_evaluation.zip",
+                "label": "Evaluation workspace for huebner_handbuch_1696"
             },
             "workflow_steps": [
                 {
@@ -280,90 +397,154 @@
                         "Antiqua",
                         "Fraktur"
                     ],
-                    "publication_century": "1700-1800",
+                    "publication_century": "1600-1700",
                     "publication_decade": "",
-                    "publication_year": "18th century",
-                    "number_of_pages": 4,
+                    "publication_year": "17th century",
+                    "number_of_pages": 3,
                     "layout": "complex"
                 }
             }
         },
         "evaluation_results": {
             "document_wide": {
-                "wall_time": 19.971749,
-                "cpu_time": 23.245253,
-                "cer_mean": 0.20433470587543373,
-                "cer_median": 0.1700173533179325,
+                "wall_time": 14.267812,
+                "cpu_time": 16.333578,
+                "cer_mean": 0.20627969569747484,
+                "cer_median": 0.08702290076335878,
                 "cer_range": [
-                    0.04063745019920319,
-                    0.43666666666666665
+                    0.08487084870848709,
+                    0.44694533762057875
                 ],
-                "cer_standard_deviation": 0.19097881579976753,
-                "wer": 0.31449770246107817,
-                "pages_per_minute": 12.016974577439363
+                "cer_standard_deviation": 0.20842533731220508,
+                "wer": 0.3271033769383102,
+                "pages_per_minute": 12.615809627993416
             },
             "by_page": [
                 {
                     "page_id": "phys_0001",
-                    "cer": 0.43666666666666665,
-                    "wer": 0.583941605839416
+                    "cer": 0.44694533762057875,
+                    "wer": 0.6341463414634146
                 },
                 {
                     "page_id": "phys_0002",
-                    "cer": 0.04063745019920319,
-                    "wer": 0.10344827586206896
+                    "cer": 0.08702290076335878,
+                    "wer": 0.1504424778761062
                 },
                 {
                     "page_id": "phys_0003",
-                    "cer": 0.05536912751677853,
-                    "wer": 0.18435754189944134
-                },
-                {
-                    "page_id": "phys_0004",
-                    "cer": 0.28466557911908646,
-                    "wer": 0.3862433862433862
+                    "cer": 0.08487084870848709,
+                    "wer": 0.19672131147540983
                 }
             ]
         }
     },
     {
-        "eval_workflow_id": "wf-databohse_helicon_1696-eval",
-        "label": "Workflow on data bohse_helicon_1696",
+        "eval_workflow_id": "wf-datareichsanzeiger_title_pages-eval",
+        "label": "Workflow on data reichsanzeiger_title_pages",
         "metadata": {
             "ocr_workflow": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/minimal_ocr.txt",
-                "label": "OCR Workflow minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/slower_processors_ocr.txt",
+                "label": "OCR Workflow slower_processors_ocr"
             },
             "eval_workflow": {
                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/dinglehopper_eval.txt",
                 "label": "Evaluation Workflow dinglehopper_eval"
             },
             "gt_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-data/blob/main/bohse_helicon_1696.ocrd.zip",
-                "label": "GT workspace bohse_helicon_1696"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/reichsanzeiger_title_pages.ocrd.zip",
+                "label": "GT workspace reichsanzeiger_title_pages"
             },
             "ocr_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/bohse_helicon_1696_ocr.zip",
-                "label": "OCR workspace for bohse_helicon_1696"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/reichsanzeiger_title_pages_ocr.zip",
+                "label": "OCR workspace for reichsanzeiger_title_pages"
             },
             "eval_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/bohse_helicon_1696_evaluation.zip",
-                "label": "Evaluation workspace for bohse_helicon_1696"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/reichsanzeiger_title_pages_evaluation.zip",
+                "label": "Evaluation workspace for reichsanzeiger_title_pages"
             },
             "workflow_steps": [
                 {
-                    "id": "ocrd-tesserocr-recognize",
+                    "id": "ocrd-cis-ocropy-binarize",
                     "params": {
-                        "segmentation_level": "region",
-                        "textequiv_level": "word",
+                        "method": "ocropy",
+                        "threshold": 0.5,
+                        "grayscale": false,
+                        "maxskew": 0.0,
+                        "noise_maxsize": 0,
+                        "dpi": 0,
+                        "level-of-operation": "page"
+                    }
+                },
+                {
+                    "id": "ocrd-tesserocr-crop",
+                    "params": {
+                        "dpi": 0,
+                        "padding": 4
+                    }
+                },
+                {
+                    "id": "ocrd-cis-ocropy-denoise",
+                    "params": {
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+                        "noise_maxsize": 3.0,
+                        "dpi": 0
+                    }
+                },
+                {
+                    "id": "ocrd-tesserocr-deskew",
+                    "params": {
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+                        "dpi": 0,
+                        "min_orientation_confidence": 1.5
+                    }
+                },
+                {
+                    "id": "ocrd-tesserocr-segment",
+                    "params": {
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+                        "padding": 4,
+                        "shrink_polygons": false,
+                        "block_polygons": false,
                         "find_tables": true,
+                        "find_staves": false,
+                        "sparse_text": false,
+                        "overwrite_segments": true,
+                        "segmentation_level": "region",
+                        "textequiv_level": "none",
+                        "overwrite_text": true,
+                        "raw_lines": false,
+                        "char_whitelist": "",
+                        "char_blacklist": "",
+                        "char_unblacklist": "",
+                        "tesseract_parameters": {},
+                        "xpath_parameters": {},
+                        "xpath_model": {},
+                        "auto_model": false,
+                        "oem": "DEFAULT"
+                    }
+                },
+                {
+                    "id": "ocrd-cis-ocropy-dewarp",
+                    "params": {
+                        "dpi": 0,
+                        "range": 4.0,
+                        "smoothness": 1.0,
+                        "max_neighbour": 0.05
+                    }
+                },
+                {
+                    "id": "ocrd-tesserocr-recognize",
+                    "params": {
+                        "textequiv_level": "glyph",
+                        "overwrite_segments": true,
                         "model": "Fraktur_GT4HistOCR",
                         "dpi": 0,
                         "padding": 0,
-                        "overwrite_segments": false,
+                        "segmentation_level": "word",
                         "overwrite_text": true,
                         "shrink_polygons": false,
                         "block_polygons": false,
+                        "find_tables": true,
                         "find_staves": false,
                         "sparse_text": false,
                         "raw_lines": false,
@@ -383,194 +564,335 @@
             "document_metadata": {
                 "data_properties": {
                     "fonts": [
-                        "Antiqua",
-                        "Fraktur"
+                        "Antiqua"
                     ],
-                    "publication_century": "1600-1700",
+                    "publication_century": "1820-1939",
                     "publication_decade": "",
-                    "publication_year": "17th century",
+                    "publication_year": "19th century",
                     "number_of_pages": 5,
-                    "layout": "simple"
+                    "layout": "reichsanzeiger-gt"
                 }
             }
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             "document_wide": {
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-                "cpu_time": 19.265802,
-                "cer_mean": 0.40403175304113403,
-                "cer_median": 0.45517241379310347,
+                "wall_time": 2039.5017899999998,
+                "cpu_time": 3039.7441000000003,
+                "cer_mean": 0.503371617521129,
+                "cer_median": 0.413282477002468,
                 "cer_range": [
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-                    0.5079365079365079
+                    0.08001625727131861,
+                    1.0
                 ],
-                "cer_standard_deviation": 0.12207840266111031,
-                "wer": 0.5356334009868995,
-                "pages_per_minute": 18.70249216318822
+                "cer_standard_deviation": 0.3496032851993558,
+                "wer": 0.6522771332007985,
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                 {
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-                    "cer": 0.5079365079365079,
-                    "wer": 0.6382978723404256
+                    "page_id": "P_1881_115_0163",
+                    "cer": 0.413282477002468,
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                 },
                 {
-                    "page_id": "phys_0002",
-                    "cer": 0.40540540540540543,
-                    "wer": 0.5740740740740741
+                    "page_id": "P_1885_5_0054",
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                 {
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-                    "wer": 0.5467625899280576
+                    "page_id": "P_1887_134_0444",
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                 {
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-                    "cer": 0.45614035087719296,
-                    "wer": 0.6018518518518519
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                 {
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-        "eval_workflow_id": "wf-databuerger_gedichte_1778-eval",
-        "label": "Workflow on data buerger_gedichte_1778",
+        "eval_workflow_id": "wf-dataarnimb_goethe03_1835-eval",
+        "label": "Workflow on data arnimb_goethe03_1835",
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             "ocr_workflow": {
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-                "label": "OCR Workflow minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/selected_pages_ocr.txt",
+                "label": "OCR Workflow selected_pages_ocr"
             },
             "eval_workflow": {
                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/dinglehopper_eval.txt",
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "label": "GT workspace buerger_gedichte_1778"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/arnimb_goethe03_1835.ocrd.zip",
+                "label": "GT workspace arnimb_goethe03_1835"
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             "ocr_workspace": {
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-                "label": "OCR workspace for buerger_gedichte_1778"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/arnimb_goethe03_1835_ocr.zip",
+                "label": "OCR workspace for arnimb_goethe03_1835"
             },
             "eval_workspace": {
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-                "label": "Evaluation workspace for buerger_gedichte_1778"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/arnimb_goethe03_1835_evaluation.zip",
+                "label": "Evaluation workspace for arnimb_goethe03_1835"
             },
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-                    "id": "ocrd-tesserocr-recognize",
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                     "params": {
-                        "segmentation_level": "region",
-                        "textequiv_level": "word",
-                        "find_tables": true,
-                        "model": "Fraktur_GT4HistOCR",
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-                        "tesseract_parameters": {},
-                        "xpath_parameters": {},
-                        "xpath_model": {},
-                        "auto_model": false,
-                        "oem": "DEFAULT"
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+                    }
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+                        "overwrite_lines": true,
+                        "spread": 2.4
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+                        "smoothness": 1.0,
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+                },
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+                    "id": "ocrd-calamari-recognize",
+                    "params": {
+                        "checkpoint_dir": "qurator-gt4histocr-1.0",
+                        "voter": "confidence_voter_default_ctc",
+                        "textequiv_level": "line",
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                 }
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-            "eval_tool": "ocrd-dinglehopper vNone",
+            "workflow_model": "qurator-gt4histocr-1.0",
+            "eval_tool": "ocrd-calamari-recognize v1.0.5 (calamari 1.0.5, tensorflow 2.12.0)",
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                 "data_properties": {
                     "fonts": [
-                        "Antiqua",
                         "Fraktur"
                     ],
-                    "publication_century": "1700-1800",
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                     "publication_decade": "",
-                    "publication_year": "18th century",
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-        "eval_workflow_id": "wf-datarollenhagen_reysen_1603-eval",
-        "label": "Workflow on data rollenhagen_reysen_1603",
+        "eval_workflow_id": "wf-datann_besuch_1780-eval",
+        "label": "Workflow on data nn_besuch_1780",
         "metadata": {
             "ocr_workflow": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/minimal_ocr.txt",
-                "label": "OCR Workflow minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/slower_processors_ocr.txt",
+                "label": "OCR Workflow slower_processors_ocr"
             },
             "eval_workflow": {
                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/dinglehopper_eval.txt",
                 "label": "Evaluation Workflow dinglehopper_eval"
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             "gt_workspace": {
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-                "label": "GT workspace rollenhagen_reysen_1603"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/nn_besuch_1780.ocrd.zip",
+                "label": "GT workspace nn_besuch_1780"
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             "ocr_workspace": {
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-                "label": "OCR workspace for rollenhagen_reysen_1603"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/nn_besuch_1780_ocr.zip",
+                "label": "OCR workspace for nn_besuch_1780"
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-                "label": "Evaluation workspace for rollenhagen_reysen_1603"
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+                "label": "Evaluation workspace for nn_besuch_1780"
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                         "find_tables": true,
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+                        "segmentation_level": "region",
+                        "textequiv_level": "none",
+                        "overwrite_text": true,
+                        "raw_lines": false,
+                        "char_whitelist": "",
+                        "char_blacklist": "",
+                        "char_unblacklist": "",
+                        "tesseract_parameters": {},
+                        "xpath_parameters": {},
+                        "xpath_model": {},
+                        "auto_model": false,
+                        "oem": "DEFAULT"
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+                },
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+                    "id": "ocrd-cis-ocropy-dewarp",
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+                },
+                {
+                    "id": "ocrd-tesserocr-recognize",
+                    "params": {
+                        "textequiv_level": "glyph",
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                         "model": "Fraktur_GT4HistOCR",
                         "dpi": 0,
                         "padding": 0,
-                        "overwrite_segments": false,
+                        "segmentation_level": "word",
                         "overwrite_text": true,
                         "shrink_polygons": false,
                         "block_polygons": false,
+                        "find_tables": true,
                         "find_staves": false,
                         "sparse_text": false,
                         "raw_lines": false,
@@ -593,85 +915,170 @@
                         "Antiqua",
                         "Fraktur"
                     ],
-                    "publication_century": "1600-1700",
+                    "publication_century": "1700-1800",
                     "publication_decade": "",
-                    "publication_year": "17th century",
-                    "number_of_pages": 3,
-                    "layout": "simple"
+                    "publication_year": "18th century",
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-                "wer": 0.3190752126565147,
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                 {
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                 {
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-        "label": "Workflow on data euler_rechenkunst01_1738",
+        "eval_workflow_id": "wf-databernd_lebensbeschreibung_1738-eval",
+        "label": "Workflow on data bernd_lebensbeschreibung_1738",
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-                "label": "OCR Workflow minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/slower_processors_ocr.txt",
+                "label": "OCR Workflow slower_processors_ocr"
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                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/dinglehopper_eval.txt",
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-                "label": "GT workspace euler_rechenkunst01_1738"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/bernd_lebensbeschreibung_1738.ocrd.zip",
+                "label": "GT workspace bernd_lebensbeschreibung_1738"
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-                "label": "OCR workspace for euler_rechenkunst01_1738"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/bernd_lebensbeschreibung_1738_ocr.zip",
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-                "label": "Evaluation workspace for euler_rechenkunst01_1738"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/bernd_lebensbeschreibung_1738_evaluation.zip",
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                         "find_tables": true,
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                         "model": "Fraktur_GT4HistOCR",
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@@ -697,97 +1104,162 @@
                     "publication_century": "1700-1800",
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                     "publication_year": "18th century",
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-        "label": "Workflow on data kistler_kraeuter_1500",
+        "eval_workflow_id": "wf-dataluther_auszlegunge_1520-eval",
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-                "label": "OCR Workflow minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/slower_processors_ocr.txt",
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@@ -820,35 +1292,35 @@
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-        "label": "Workflow on data calvi_beutelschneider01_1627",
+        "eval_workflow_id": "wf-databohse_helicon_1696-eval",
+        "label": "Workflow on data bohse_helicon_1696",
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@@ -859,16 +1331,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "label": "GT workspace calvi_beutelschneider01_1627"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/bohse_helicon_1696.ocrd.zip",
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-                "label": "OCR workspace for calvi_beutelschneider01_1627"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/bohse_helicon_1696_ocr.zip",
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-                "label": "Evaluation workspace for calvi_beutelschneider01_1627"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/bohse_helicon_1696_evaluation.zip",
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@@ -909,82 +1381,172 @@
                     "publication_century": "1600-1700",
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                     "publication_year": "17th century",
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                         "find_tables": true,
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+                        "segmentation_level": "region",
+                        "textequiv_level": "none",
+                        "overwrite_text": true,
+                        "raw_lines": false,
+                        "char_whitelist": "",
+                        "char_blacklist": "",
+                        "char_unblacklist": "",
+                        "tesseract_parameters": {},
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+                        "xpath_model": {},
+                        "auto_model": false,
+                        "oem": "DEFAULT"
+                    }
+                },
+                {
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+                    "params": {
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+                        "range": 4.0,
+                        "smoothness": 1.0,
+                        "max_neighbour": 0.05
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+                },
+                {
+                    "id": "ocrd-tesserocr-recognize",
+                    "params": {
+                        "textequiv_level": "glyph",
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                         "model": "Fraktur_GT4HistOCR",
                         "dpi": 0,
                         "padding": 0,
-                        "overwrite_segments": false,
+                        "segmentation_level": "word",
                         "overwrite_text": true,
                         "shrink_polygons": false,
                         "block_polygons": false,
+                        "find_tables": true,
                         "find_staves": false,
                         "sparse_text": false,
                         "raw_lines": false,
@@ -1004,143 +1566,217 @@
             "document_metadata": {
                 "data_properties": {
                     "fonts": [
+                        "Antiqua",
                         "Fraktur"
                     ],
-                    "publication_century": "1800-1900",
+                    "publication_century": "1600-1700",
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-                    "publication_year": "19th century",
-                    "number_of_pages": 1,
+                    "publication_year": "17th century",
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                     "layout": "simple"
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-        "eval_workflow_id": "wf-datablumenbach_anatomie_1805-eval",
-        "label": "Workflow on data blumenbach_anatomie_1805",
+        "eval_workflow_id": "wf-datakistler_kraeuter_1500-eval",
+        "label": "Workflow on data kistler_kraeuter_1500",
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             "ocr_workflow": {
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-                "label": "OCR Workflow minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/selected_pages_ocr.txt",
+                "label": "OCR Workflow selected_pages_ocr"
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             "eval_workflow": {
                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/dinglehopper_eval.txt",
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "label": "GT workspace blumenbach_anatomie_1805"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/kistler_kraeuter_1500.ocrd.zip",
+                "label": "GT workspace kistler_kraeuter_1500"
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-                "label": "OCR workspace for blumenbach_anatomie_1805"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/kistler_kraeuter_1500_ocr.zip",
+                "label": "OCR workspace for kistler_kraeuter_1500"
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-                "label": "Evaluation workspace for blumenbach_anatomie_1805"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/kistler_kraeuter_1500_evaluation.zip",
+                "label": "Evaluation workspace for kistler_kraeuter_1500"
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-                        "textequiv_level": "word",
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-                        "auto_model": false,
-                        "oem": "DEFAULT"
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+                        "voter": "confidence_voter_default_ctc",
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-            "eval_tool": "ocrd-dinglehopper vNone",
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                 "data_properties": {
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                         "Fraktur"
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-        "eval_workflow_id": "wf-datareichsanzeiger_title_pages-eval",
-        "label": "Workflow on data reichsanzeiger_title_pages",
+        "eval_workflow_id": "wf-dataeuler_rechenkunst01_1738-eval",
+        "label": "Workflow on data euler_rechenkunst01_1738",
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@@ -1151,16 +1787,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "@id": "https://github.com/OCR-D/quiver-data/blob/main/reichsanzeiger_title_pages.ocrd.zip",
-                "label": "GT workspace reichsanzeiger_title_pages"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/euler_rechenkunst01_1738.ocrd.zip",
+                "label": "GT workspace euler_rechenkunst01_1738"
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-                "label": "OCR workspace for reichsanzeiger_title_pages"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/euler_rechenkunst01_1738_ocr.zip",
+                "label": "OCR workspace for euler_rechenkunst01_1738"
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-                "label": "Evaluation workspace for reichsanzeiger_title_pages"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/euler_rechenkunst01_1738_evaluation.zip",
+                "label": "Evaluation workspace for euler_rechenkunst01_1738"
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                 {
@@ -1195,97 +1831,183 @@
             "document_metadata": {
                 "data_properties": {
                     "fonts": [
-                        "Antiqua"
+                        "Antiqua",
+                        "Fraktur"
                     ],
-                    "publication_century": "1820-1939",
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                     "publication_decade": "",
-                    "publication_year": "19th century",
-                    "number_of_pages": 5,
-                    "layout": "reichsanzeiger-gt"
+                    "publication_year": "18th century",
+                    "number_of_pages": 6,
+                    "layout": "complex"
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-        "label": "Workflow on data luther_auszlegunge_1520",
+        "eval_workflow_id": "wf-databenner_herrnhuterey04_1748-eval",
+        "label": "Workflow on data benner_herrnhuterey04_1748",
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-                "label": "OCR Workflow minimal_ocr"
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-                "label": "GT workspace luther_auszlegunge_1520"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/benner_herrnhuterey04_1748.ocrd.zip",
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                         "find_tables": true,
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+                        "segmentation_level": "region",
+                        "textequiv_level": "none",
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+                        "raw_lines": false,
+                        "char_whitelist": "",
+                        "char_blacklist": "",
+                        "char_unblacklist": "",
+                        "tesseract_parameters": {},
+                        "xpath_parameters": {},
+                        "xpath_model": {},
+                        "auto_model": false,
+                        "oem": "DEFAULT"
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+                },
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+                        "smoothness": 1.0,
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+                },
+                {
+                    "id": "ocrd-tesserocr-recognize",
+                    "params": {
+                        "textequiv_level": "glyph",
+                        "overwrite_segments": true,
                         "model": "Fraktur_GT4HistOCR",
                         "dpi": 0,
                         "padding": 0,
-                        "overwrite_segments": false,
+                        "segmentation_level": "word",
                         "overwrite_text": true,
                         "shrink_polygons": false,
                         "block_polygons": false,
+                        "find_tables": true,
                         "find_staves": false,
                         "sparse_text": false,
                         "raw_lines": false,
@@ -1308,45 +2030,55 @@
                         "Antiqua",
                         "Fraktur"
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-        "label": "Workflow on data huebner_handbuch_1696",
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@@ -1357,16 +2089,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "label": "GT workspace huebner_handbuch_1696"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/bernd_lebensbeschreibung_1738.ocrd.zip",
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-                "label": "OCR workspace for huebner_handbuch_1696"
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-                "label": "Evaluation workspace for huebner_handbuch_1696"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/bernd_lebensbeschreibung_1738_evaluation.zip",
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@@ -1404,9 +2136,9 @@
                         "Antiqua",
                         "Fraktur"
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@@ -1414,146 +2146,207 @@
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-        "label": "Workflow on data ballenstedt_delatio_1777",
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@@ -1564,16 +2357,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "label": "GT workspace ballenstedt_delatio_1777"
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-                "label": "OCR workspace for ballenstedt_delatio_1777"
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-                "label": "Evaluation workspace for ballenstedt_delatio_1777"
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@@ -1611,9 +2404,9 @@
                         "Antiqua",
                         "Fraktur"
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@@ -1621,75 +2414,155 @@
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-        "label": "Workflow on data bernd_lebensbeschreibung_1738",
+        "eval_workflow_id": "wf-dataestor_rechtsgelehrsamkeit02_1758-eval",
+        "label": "Workflow on data estor_rechtsgelehrsamkeit02_1758",
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-                "label": "OCR Workflow minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/selected_pages_ocr.txt",
+                "label": "OCR Workflow selected_pages_ocr"
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             "eval_workflow": {
                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/dinglehopper_eval.txt",
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-                "label": "GT workspace bernd_lebensbeschreibung_1738"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/estor_rechtsgelehrsamkeit02_1758.ocrd.zip",
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-                "label": "OCR workspace for bernd_lebensbeschreibung_1738"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/estor_rechtsgelehrsamkeit02_1758_ocr.zip",
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-                "label": "Evaluation workspace for bernd_lebensbeschreibung_1738"
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                     "params": {
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-                        "textequiv_level": "word",
-                        "find_tables": true,
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-                        "oem": "DEFAULT"
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+                {
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+                        "smoothness": 1.0,
+                        "max_neighbour": 0.05
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+                {
+                    "id": "ocrd-calamari-recognize",
+                    "params": {
+                        "checkpoint_dir": "qurator-gt4histocr-1.0",
+                        "voter": "confidence_voter_default_ctc",
+                        "textequiv_level": "line",
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                 }
             ],
-            "workflow_model": "Fraktur_GT4HistOCR",
-            "eval_tool": "ocrd-dinglehopper vNone",
+            "workflow_model": "qurator-gt4histocr-1.0",
+            "eval_tool": "ocrd-calamari-recognize v1.0.5 (calamari 1.0.5, tensorflow 2.12.0)",
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@@ -1825,47 +10947,52 @@
                     "publication_century": "1700-1800",
                     "publication_decade": "",
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-        "label": "Workflow on data weigel_gnothi02_1618",
+        "eval_workflow_id": "wf-databallenstedt_delatio_1777-eval",
+        "label": "Workflow on data ballenstedt_delatio_1777",
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@@ -1876,16 +11003,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "label": "GT workspace weigel_gnothi02_1618"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/ballenstedt_delatio_1777.ocrd.zip",
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-                "label": "OCR workspace for weigel_gnothi02_1618"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/ballenstedt_delatio_1777_ocr.zip",
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-                "label": "Evaluation workspace for weigel_gnothi02_1618"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/ballenstedt_delatio_1777_evaluation.zip",
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@@ -1923,55 +11050,50 @@
                         "Antiqua",
                         "Fraktur"
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-        "label": "Workflow on data lessing_menschengeschlecht_1780",
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@@ -1982,16 +11104,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "label": "GT workspace lessing_menschengeschlecht_1780"
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-                "label": "OCR workspace for lessing_menschengeschlecht_1780"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/reichsanzeiger_title_pages_ocr.zip",
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-                "label": "Evaluation workspace for lessing_menschengeschlecht_1780"
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@@ -2026,78 +11148,177 @@
             "document_metadata": {
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-                        "Fraktur"
+                        "Antiqua"
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@@ -2120,50 +11341,65 @@
                         "Antiqua",
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@@ -2174,16 +11410,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "label": "OCR workspace for heyden_paedono_1548"
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-        "label": "Workflow on data luz_blitz_1784",
+        "eval_workflow_id": "wf-datann_besuch_1780-eval",
+        "label": "Workflow on data nn_besuch_1780",
         "metadata": {
             "ocr_workflow": {
                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/minimal_ocr.txt",
@@ -2275,16 +11511,16 @@
                 "label": "Evaluation Workflow dinglehopper_eval"
             },
             "gt_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-data/blob/main/luz_blitz_1784.ocrd.zip",
-                "label": "GT workspace luz_blitz_1784"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/nn_besuch_1780.ocrd.zip",
+                "label": "GT workspace nn_besuch_1780"
             },
             "ocr_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/luz_blitz_1784_ocr.zip",
-                "label": "OCR workspace for luz_blitz_1784"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/nn_besuch_1780_ocr.zip",
+                "label": "OCR workspace for nn_besuch_1780"
             },
             "eval_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/luz_blitz_1784_evaluation.zip",
-                "label": "Evaluation workspace for luz_blitz_1784"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/nn_besuch_1780_evaluation.zip",
+                "label": "Evaluation workspace for nn_besuch_1780"
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             "workflow_steps": [
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@@ -2332,82 +11568,116 @@
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-        "eval_workflow_id": "wf-dataestor_rechtsgelehrsamkeit02_1758-eval",
-        "label": "Workflow on data estor_rechtsgelehrsamkeit02_1758",
+        "eval_workflow_id": "wf-datareichsanzeiger_tables-eval",
+        "label": "Workflow on data reichsanzeiger_tables",
         "metadata": {
             "ocr_workflow": {
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-                "label": "OCR Workflow minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/slower_processors_ocr.txt",
+                "label": "OCR Workflow slower_processors_ocr"
             },
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                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/dinglehopper_eval.txt",
                 "label": "Evaluation Workflow dinglehopper_eval"
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-                "label": "GT workspace estor_rechtsgelehrsamkeit02_1758"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/reichsanzeiger_tables.ocrd.zip",
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             "ocr_workspace": {
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-                "label": "OCR workspace for estor_rechtsgelehrsamkeit02_1758"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/reichsanzeiger_tables_ocr.zip",
+                "label": "OCR workspace for reichsanzeiger_tables"
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             "eval_workspace": {
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-                "label": "Evaluation workspace for estor_rechtsgelehrsamkeit02_1758"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/reichsanzeiger_tables_evaluation.zip",
+                "label": "Evaluation workspace for reichsanzeiger_tables"
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-                        "textequiv_level": "word",
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-                        "model": "Fraktur_GT4HistOCR",
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+                        "level-of-operation": "page"
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                         "shrink_polygons": false,
                         "block_polygons": false,
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                         "find_staves": false,
                         "sparse_text": false,
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+                        "segmentation_level": "region",
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                         "raw_lines": false,
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                         "char_blacklist": "",
@@ -2416,102 +11686,31 @@
                         "xpath_parameters": {},
                         "xpath_model": {},
                         "auto_model": false,
-                        "oem": "DEFAULT"
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-                        "Antiqua",
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-                    "publication_year": "18th century",
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-        "label": "Workflow on data trota_mordtbrenner_1540",
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                     "params": {
-                        "segmentation_level": "region",
-                        "textequiv_level": "word",
-                        "find_tables": true,
+                        "textequiv_level": "glyph",
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                         "model": "Fraktur_GT4HistOCR",
                         "dpi": 0,
                         "padding": 0,
-                        "overwrite_segments": false,
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                         "overwrite_text": true,
                         "shrink_polygons": false,
                         "block_polygons": false,
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@@ -2531,41 +11730,55 @@
             "document_metadata": {
                 "data_properties": {
                     "fonts": [
-                        "Antiqua",
-                        "Fraktur"
+                        "Antiqua"
                     ],
-                    "publication_century": "1500-1600",
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                     "publication_decade": "",
-                    "publication_year": "16th century",
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+                    "publication_year": "19th century",
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@@ -2575,8 +11788,8 @@
         "label": "Workflow on data justi_abhandlung01_1758",
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-                "label": "OCR Workflow minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/slower_processors_ocr.txt",
+                "label": "OCR Workflow slower_processors_ocr"
             },
             "eval_workflow": {
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@@ -2596,18 +11809,98 @@
             },
             "workflow_steps": [
                 {
-                    "id": "ocrd-tesserocr-recognize",
+                    "id": "ocrd-cis-ocropy-binarize",
                     "params": {
-                        "segmentation_level": "region",
-                        "textequiv_level": "word",
+                        "method": "ocropy",
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+                        "maxskew": 0.0,
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+                        "dpi": 0,
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+                },
+                {
+                    "id": "ocrd-anybaseocr-crop",
+                    "params": {
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+                        "rulerRatioMax": 50.0,
+                        "rulerRatioMin": 3.0,
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+                        "marginTop": 0.25,
+                        "marginBottom": 0.75,
+                        "marginLeft": 0.3,
+                        "marginRight": 0.7,
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+                {
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+                        "shrink_polygons": false,
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                         "find_tables": true,
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+                        "segmentation_level": "region",
+                        "textequiv_level": "none",
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+                        "raw_lines": false,
+                        "char_whitelist": "",
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+                        "char_unblacklist": "",
+                        "tesseract_parameters": {},
+                        "xpath_parameters": {},
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+                        "auto_model": false,
+                        "oem": "DEFAULT"
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+                },
+                {
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+                    "params": {
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+                        "range": 4.0,
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+                    "id": "ocrd-tesserocr-recognize",
+                    "params": {
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                         "model": "Fraktur_GT4HistOCR",
                         "dpi": 0,
                         "padding": 0,
-                        "overwrite_segments": false,
+                        "segmentation_level": "word",
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                         "shrink_polygons": false,
                         "block_polygons": false,
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                         "find_staves": false,
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@@ -2640,80 +11933,160 @@
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     {
-        "eval_workflow_id": "wf-datareichsanzeiger_random-eval",
-        "label": "Workflow on data reichsanzeiger_random",
+        "eval_workflow_id": "wf-dataarnimb_goethe03_1835-eval",
+        "label": "Workflow on data arnimb_goethe03_1835",
         "metadata": {
             "ocr_workflow": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/minimal_ocr.txt",
-                "label": "OCR Workflow minimal_ocr"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/slower_processors_ocr.txt",
+                "label": "OCR Workflow slower_processors_ocr"
             },
             "eval_workflow": {
                 "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/ocrd_workflows/dinglehopper_eval.txt",
                 "label": "Evaluation Workflow dinglehopper_eval"
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             "gt_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-data/blob/main/reichsanzeiger_random.ocrd.zip",
-                "label": "GT workspace reichsanzeiger_random"
+                "@id": "https://github.com/OCR-D/quiver-data/blob/main/arnimb_goethe03_1835.ocrd.zip",
+                "label": "GT workspace arnimb_goethe03_1835"
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             "ocr_workspace": {
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-                "label": "OCR workspace for reichsanzeiger_random"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/arnimb_goethe03_1835_ocr.zip",
+                "label": "OCR workspace for arnimb_goethe03_1835"
             },
             "eval_workspace": {
-                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/reichsanzeiger_random_evaluation.zip",
-                "label": "Evaluation workspace for reichsanzeiger_random"
+                "@id": "https://github.com/OCR-D/quiver-back-end/blob/main/workflows/results/arnimb_goethe03_1835_evaluation.zip",
+                "label": "Evaluation workspace for arnimb_goethe03_1835"
             },
             "workflow_steps": [
                 {
-                    "id": "ocrd-tesserocr-recognize",
+                    "id": "ocrd-cis-ocropy-binarize",
                     "params": {
-                        "segmentation_level": "region",
-                        "textequiv_level": "word",
+                        "method": "ocropy",
+                        "threshold": 0.5,
+                        "grayscale": false,
+                        "maxskew": 0.0,
+                        "noise_maxsize": 0,
+                        "dpi": 0,
+                        "level-of-operation": "page"
+                    }
+                },
+                {
+                    "id": "ocrd-anybaseocr-crop",
+                    "params": {
+                        "dpi": 0,
+                        "rulerRatioMax": 50.0,
+                        "rulerRatioMin": 3.0,
+                        "rulerAreaMax": 0.3,
+                        "rulerAreaMin": 0.01,
+                        "rulerWidthMax": 0.95,
+                        "columnAreaMin": 0.05,
+                        "columnSepWidthMax": 0.04,
+                        "marginTop": 0.25,
+                        "marginBottom": 0.75,
+                        "marginLeft": 0.3,
+                        "marginRight": 0.7,
+                        "padding": 10
+                    }
+                },
+                {
+                    "id": "ocrd-cis-ocropy-denoise",
+                    "params": {
+                        "level-of-operation": "page",
+                        "noise_maxsize": 3.0,
+                        "dpi": 0
+                    }
+                },
+                {
+                    "id": "ocrd-tesserocr-deskew",
+                    "params": {
+                        "operation_level": "page",
+                        "dpi": 0,
+                        "min_orientation_confidence": 1.5
+                    }
+                },
+                {
+                    "id": "ocrd-tesserocr-segment",
+                    "params": {
+                        "dpi": 0,
+                        "padding": 4,
+                        "shrink_polygons": false,
+                        "block_polygons": false,
                         "find_tables": true,
+                        "find_staves": false,
+                        "sparse_text": false,
+                        "overwrite_segments": true,
+                        "segmentation_level": "region",
+                        "textequiv_level": "none",
+                        "overwrite_text": true,
+                        "raw_lines": false,
+                        "char_whitelist": "",
+                        "char_blacklist": "",
+                        "char_unblacklist": "",
+                        "tesseract_parameters": {},
+                        "xpath_parameters": {},
+                        "xpath_model": {},
+                        "auto_model": false,
+                        "oem": "DEFAULT"
+                    }
+                },
+                {
+                    "id": "ocrd-cis-ocropy-dewarp",
+                    "params": {
+                        "dpi": 0,
+                        "range": 4.0,
+                        "smoothness": 1.0,
+                        "max_neighbour": 0.05
+                    }
+                },
+                {
+                    "id": "ocrd-tesserocr-recognize",
+                    "params": {
+                        "textequiv_level": "glyph",
+                        "overwrite_segments": true,
                         "model": "Fraktur_GT4HistOCR",
                         "dpi": 0,
                         "padding": 0,
-                        "overwrite_segments": false,
+                        "segmentation_level": "word",
                         "overwrite_text": true,
                         "shrink_polygons": false,
                         "block_polygons": false,
+                        "find_tables": true,
                         "find_staves": false,
                         "sparse_text": false,
                         "raw_lines": false,
@@ -2733,60 +12106,35 @@
             "document_metadata": {
                 "data_properties": {
                     "fonts": [
-                        "Antiqua"
+                        "Fraktur"
                     ],
-                    "publication_century": "1820-1939",
+                    "publication_century": "1800-1900",
                     "publication_decade": "",
                     "publication_year": "19th century",
-                    "number_of_pages": 6,
-                    "layout": "reichsanzeiger-gt"
+                    "number_of_pages": 1,
+                    "layout": "simple"
                 }
             }
         },
         "evaluation_results": {
             "document_wide": {
-                "wall_time": 636.322401,
-                "cpu_time": 852.529652,
-                "cer_mean": 1.1094634128044334,
-                "cer_median": 0.8993673021608106,
+                "wall_time": 11.160878999999998,
+                "cpu_time": 17.708654999999997,
+                "cer_mean": 0.0056657223796034,
+                "cer_median": 0.0056657223796034,
                 "cer_range": [
-                    0.30019453260980855,
-                    1.9778823058446757
+                    0.0056657223796034,
+                    0.0056657223796034
                 ],
-                "cer_standard_deviation": 0.645494993792005,
-                "wer": 1.3304151477151094,
-                "pages_per_minute": 0.565750945486516
+                "cer_standard_deviation": null,
+                "wer": 0.031746031746031744,
+                "pages_per_minute": 5.3759206600125315
             },
             "by_page": [
                 {
-                    "page_id": "P_1879_45_0344",
-                    "cer": 0.9843462873477166,
-                    "wer": 1.1759884281581485
-                },
-                {
-                    "page_id": "P_1885_5_0055",
-                    "cer": 0.30019453260980855,
-                    "wer": 0.40127817019845274
-                },
-                {
-                    "page_id": "P_1889_1_0018",
-                    "cer": 0.7868184930272782,
-                    "wer": 0.9704142011834319
-                },
-                {
-                    "page_id": "P_1891_33_0452",
-                    "cer": 0.8143883169739047,
-                    "wer": 1.112810707456979
-                },
-                {
-                    "page_id": "P_1932_300_0488",
-                    "cer": 1.9778823058446757,
-                    "wer": 2.349493487698987
-                },
-                {
-                    "page_id": "P_1936_123_0292",
-                    "cer": 1.7931505410232167,
-                    "wer": 1.9725058915946583
+                    "page_id": "phys_0001",
+                    "cer": 0.0056657223796034,
+                    "wer": 0.031746031746031744
                 }
             ]
         }
diff --git a/src/benchmark_extraction.py b/src/benchmark_extraction.py
index 39b4b2144d236dec217160b415ca978ff35661d0..1c030c87f769d43f8fb29b2a745cfce5fc8fe7f4 100644
--- a/src/benchmark_extraction.py
+++ b/src/benchmark_extraction.py
@@ -7,7 +7,6 @@ import xml.etree.ElementTree as ET
 from os import listdir, scandir
 from statistics import stdev, median
 from typing import Any, Dict, List, Union
-
 from .constants import METS, RESULTS, QUIVER_MAIN, OCRD
 
 
@@ -198,8 +197,11 @@ def get_nextflow_time(workspace_path: str, time_type: str) -> float:
     for log in logs:
         with open(highest_workspace_dir + '/' + log, 'r', encoding='utf-8') as l:
             log_file = l.read()
-            no_sec_s = re.search(rf'([0-9]+?\.[0-9]+?)s \({time_type}\)', log_file).group(1)
-            time_per_workflow_step.append(float(no_sec_s))
+            try:
+                no_sec_s = re.search(rf'([0-9]+?\.[0-9]+?)s \({time_type}\)', log_file).group(1)
+                time_per_workflow_step.append(float(no_sec_s))
+            except AttributeError:
+                print(f'No wall time found in {highest_workspace_dir}/{log}. Skipping.')
     return sum(time_per_workflow_step)
 
 
@@ -207,7 +209,11 @@ def get_pages_per_minute(workspace_path: str) -> float:
     duration = get_nextflow_time(workspace_path, 'wall')
     no_pages = get_no_of_pages(workspace_path)
 
-    return no_pages / (duration / 60)
+    try:
+        return no_pages / (duration / 60)
+    except ZeroDivisionError:
+        print('ERROR: Division by zero.')
+        return None
 
 
 def get_mean_cer(workspace_path: str, gt_type: str) -> float:
diff --git a/workflows/execute_workflows.sh b/workflows/execute_workflows.sh
index 3ce0d9bf5a8d5f87838c03564eb6c45ceefa7803..5a90275622ce44f0a5c38c009840a5eba912bec0 100755
--- a/workflows/execute_workflows.sh
+++ b/workflows/execute_workflows.sh
@@ -69,28 +69,30 @@ create_wf_specific_workspaces() {
 
 execute_wfs_and_extract_benchmarks() {
     # for all data sets…
-    for WS_DIR in "$WORKSPACE_DIR"/*
+    for WS_DIR in "$WORKSPACE_DIR"/*/
     do
-        DATA_DIR="$WS_DIR"/data
-        DIR_NAME=$(basename "$WS_DIR")
-        INNER_DIR=$(ls "$DATA_DIR"/)
-
-        if ! grep -q "OCR-D-OCR" "$WS_DIR/data/$INNER_DIR/mets.xml" ; then
-            echo "Switching to $WS_DIR."            
-
-            run "$DATA_DIR"/*/*ocr.txt.nf "$DIR_NAME" "$WS_DIR"
-            run "$DATA_DIR"/*/*eval.txt.nf "$DIR_NAME" "$WS_DIR"
-
-            # create a result JSON according to the specs          
-            echo "Get Benchmark JSON …"
-            WORKFLOW=$(basename -s .txt.nf "$DATA_DIR"/*/*ocr.txt.nf)
-            quiver benchmarks-extraction "$DATA_DIR"/* "$WORKFLOW"
-            echo "Done."
-
-            # move data to results dir
-            mv "$DATA_DIR"/*/*result.json "$RESULTS_DIR"
-        else
-            echo "$WS_DIR has already been processed."
+        if [ "$WS_DIR" != "/app/workflows/workspaces/work/" ]; then
+            DATA_DIR="$WS_DIR"/data
+            DIR_NAME=$(basename "$WS_DIR")
+            INNER_DIR=$(ls "$DATA_DIR"/)
+
+            if ! grep -q "OCR-D-OCR" "$WS_DIR/data/$INNER_DIR/mets.xml"; then
+                echo "Switching to $WS_DIR."
+
+                run "$DATA_DIR"/*/*ocr.txt.nf "$DIR_NAME"
+                run "$DATA_DIR"/*/*eval.txt.nf "$DIR_NAME"
+
+                # create a result JSON according to the specs          
+                echo "Get Benchmark JSON …"
+                WORKFLOW=$(basename -s .txt.nf "$DATA_DIR"/*/*ocr.txt.nf)
+                quiver benchmarks-extraction "$WS_DIR"/data/* "$WORKFLOW"
+                echo "Done."
+
+                # move data to results dir
+                mv "$DATA_DIR"/*/*result.json "$RESULTS_DIR"
+            else
+                echo "$WS_DIR has already been processed."
+            fi
         fi
     done
     cd "$ROOT" || exit
@@ -120,20 +122,22 @@ rename_and_move_nextflow_result() {
 run() {
     # $1: $WORKFLOW
     # $2: $DIR_NAME
-    # $3: $WS_DIR
     nextflow run "$1" -with-weblog http://127.0.0.1:8000/nextflow/ --mets_path "/app/workflows/workspaces/$2/data/*/mets.xml"
     rename_and_move_nextflow_result "$1" "$2"
-    save_workspaces "$3"/data "$2" "$1"
+    save_workspaces "$1" "$2"
 }
 
 save_workspaces() {
     # $1: $WORKFLOW
     # $2: $DIR_NAME
-    # $3: $WS_DIR
-    echo "Zipping workspace $3"
-    ocrd -l ERROR zip bag -d "$DIR_NAME"/data/* -i "$DIR_NAME"/data/* "$DIR_NAME"
-    WORKFLOW_NAME=$(basename -s .txt.nf "$1")
-    mv "$WORKSPACE_DIR"/"$2".zip "$RESULTS_DIR"/"$2"_"$WORKFLOW_NAME".zip
+    echo "Zipping workspace $2"
+    DATA_DIR="$2/data/"
+    if basename -s .txt.nf "$1" | grep "eval"; then
+        WORKFLOW_NAME=$(basename -s .txt.nf "$1")
+        ocrd -l ERROR zip bag -d "$DATA_DIR"/* -i "$DATA_DIR"/* "$RESULTS_DIR"/"$2"_"$WORKFLOW_NAME".zip
+    else
+        ocrd -l ERROR zip bag -d "$DATA_DIR"/* -i "$DATA_DIR"/* "$RESULTS_DIR"/"$2".zip
+    fi
 }
 
 summarize_to_data_json() {
diff --git a/workflows/ocrd_workflows/selected_pages_ocr.txt b/workflows/ocrd_workflows/selected_pages_ocr.txt
index a6c3c7901b4858b403bf6f95fa328d1ae6c46d5b..864a00e85b3635ca22f0ac27389b1e3fe5d03443 100644
--- a/workflows/ocrd_workflows/selected_pages_ocr.txt
+++ b/workflows/ocrd_workflows/selected_pages_ocr.txt
@@ -1,6 +1,6 @@
 ocrd process \
   "cis-ocropy-binarize -I OCR-D-IMG -O OCR-D-BIN" \
-  "anybaseocr-crop -I OCR-D-BIN -O OCR-D-CROP" \
+  "tesserocr-crop -I OCR-D-BIN -O OCR-D-CROP" \
   "skimage-binarize -I OCR-D-CROP -O OCR-D-BIN2 -P method li" \
   "skimage-denoise -I OCR-D-BIN2 -O OCR-D-BIN-DENOISE -P level-of-operation page" \
   "tesserocr-deskew -I OCR-D-BIN-DENOISE -O OCR-D-BIN-DENOISE-DESKEW -P operation_level page" \
diff --git a/workflows/ocrd_workflows/slower_processors_ocr.txt b/workflows/ocrd_workflows/slower_processors_ocr.txt
index 299ef9b03ee20ce93a02bba00a7c7f2b7b36946c..5cabe322e859ef7984f0296d3b949de44df565df 100644
--- a/workflows/ocrd_workflows/slower_processors_ocr.txt
+++ b/workflows/ocrd_workflows/slower_processors_ocr.txt
@@ -1,6 +1,6 @@
 ocrd process \
   "cis-ocropy-binarize -I OCR-D-IMG -O OCR-D-BIN" \
-  "anybaseocr-crop -I OCR-D-BIN -O OCR-D-CROP" \
+  "tesserocr-crop -I OCR-D-BIN -O OCR-D-CROP" \
   "cis-ocropy-denoise -I OCR-D-CROP -O OCR-D-BIN-DENOISE -P level-of-operation page" \
   "tesserocr-deskew -I OCR-D-BIN-DENOISE -O OCR-D-BIN-DENOISE-DESKEW -P operation_level page" \
   "tesserocr-segment -I OCR-D-BIN-DENOISE-DESKEW -O OCR-D-SEG" \