https://github.com/glenrobson/iiif2annos

OCR a IIIF images in a manifest and generate annotations
https://github.com/glenrobson/iiif2annos

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OCR a IIIF images in a manifest and generate annotations

• Host: GitHub
• URL: https://github.com/glenrobson/iiif2annos
• Owner: glenrobson
• License: mit
• Created: 2023-04-21T17:58:37.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-06-21T10:06:51.000Z (over 1 year ago)
• Last Synced: 2024-12-06T22:13:58.802Z (about 2 months ago)
• Topics: annotations, iiif
• Language: Python
• Homepage:
• Size: 10.7 KB
• Stars: 23
• Watchers: 1
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# iiif2annos

Read a manifest, OCR the images, create AnnotationLists and add them to a copy of the manifest

This tool uses the [tesseract](https://tesseract-ocr.github.io/) OCR engine. Ensure you have this installed and on your $PATH before running the code below. 

```

usage: ocr.py [-h] [--base-output-uri OUTPUTURI] [--lang LANG] [-c] manifest output

Read a manifest, OCR all the pages then adds the results as annotation lists

positional arguments:

  manifest              URL to Manifest file

  output                Output directory for annotation lists

options:

  -h, --help            show this help message and exit

  --base-output-uri OUTPUTURI

                        Output URI for annotations and annotation list

  --lang LANG           Language to pass to the OCR engine see: https://tesseract-ocr.github.io/tessdoc/Data-Files-in-different-versions.html

  -c, --confidence      Include OCR confidence value in text of the annotation?

```

This should work with v2 manifests and v3 manifest. For v2 AnnotationLists are created for v3 AnnotationPages are created. 

## Example

```

python iiif2annos/ocr.py --lang frk --base-output-uri http://localhost:5500/newspaper https://preview.iiif.io/cookbook/update_newspaper/recipe/0068-newspaper/newspaper_issue_1-manifest.json  newspaper

```

Using these blogs as a guide:

 * https://nanonets.com/blog/ocr-with-tesseract/#ocr-with-pytesseract-and-opencv 

 * https://pypi.org/project/pytesseract/