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Ocr document processor

Skill dkyazzentwatwa/chatgpt-skills/ocr-document-processor

Extract text and structure from scans, images, and scanned PDFs. Use for OCR, searchable PDFs, table extraction, receipt parsing, and business card parsing.From its SKILL.md

Install
npx -y skills add dkyazzentwatwa/chatgpt-skills --skill ocr-document-processor

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

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SKILL.md

1.2 KB, 223 tokens by cl100k_base, as published. Nobody here has run it

OCR Document Processor

Handle OCR-heavy inputs where text must be recovered from images or scanned pages.

Use This For

  • OCR on images and scanned PDFs
  • Searchable PDF export
  • Structured extraction to text, markdown, JSON, or HTML
  • Table extraction from scanned material
  • Receipt parsing and business card parsing

Workflow

  1. Decide whether plain OCR, structured extraction, or document-specific parsing is needed.
  2. Preprocess noisy inputs before extraction when skew, blur, or shadows are present.
  3. Use scripts/ocr_processor.py for core OCR tasks.
  4. Use the focused helpers when the input is specialized:
    • scripts/business_card_scanner.py
    • scripts/receipt_scanner.py
  5. Return confidence caveats when the source is low quality, rotated, handwritten, or multilingual.

Guardrails

  • Prefer explicit language selection when accuracy matters.
  • Do not claim fields are exact when OCR confidence is weak.
  • Route non-scanned digital PDFs to document-converter-suite instead of OCR by default.

What ships with it: 5 files

34.2 KB alongside SKILL.md, 3 of them executable

agents/

scripts/

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