# 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.

- Skill: `om-scogo/ocr-document-processor` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds add om-scogo/ocr-document-processor`
- Raw SKILL.md: https://api.skillmd.com/api/skills/om-scogo/ocr-document-processor/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: om-scogo (https://skillmd.com/u/om-scogo)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/om-scogo/ocr-document-processor

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# 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.