@dkyazzentwatwa/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.
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SKILL.md
| name | ocr-document-processor |
| description | Extract text and structure from scans, images, and scanned PDFs. Use for OCR, searchable PDFs, table extraction, receipt parsing, and business card parsing. |
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
- Decide whether plain OCR, structured extraction, or document-specific parsing is needed.
- Preprocess noisy inputs before extraction when skew, blur, or shadows are present.
- Use
scripts/ocr_processor.pyfor core OCR tasks. - Use the focused helpers when the input is specialized:
scripts/business_card_scanner.pyscripts/receipt_scanner.py
- 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-suiteinstead of OCR by default.
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Bill of Materials
Everything this skill can do — files, network, commands, and more.
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