OCR Document Processor
SkillDocs & knowledgeExtract text and structure from scans, images, and scanned PDFs. Use for OCR, searchable PDFs, table extraction, receipt parsing, and business card parsing.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the OCR Document Processor skill
What this skill tells your AI
The instructions your AI receives, as published by dkyazzentwatwa/chatgpt-skills in ocr-document-processor/SKILL.md and read by ahel’s review.
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.
Signals
- GitHub stars
- 100
- Forks
- 20
- Last commit
- Apr 2026
Advanced
- Catalog kind
- skill
- Gateway key
ocr-document-processor- Source
- github.com/dkyazzentwatwa/chatgpt-skills