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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.

All-time #2944 First seen Jan 24, 2026
8-week activity · all time api

Installation

$ npx skills add dkyazzentwatwa/chatgpt-skills --skill ocr-document-processor
View on skills.sh ↗ GitHub repository ↗

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crypto-ta-analyzer 1.6K text-summarizer 699 financial-calculator 494 document-converter-suite 472 image-enhancement-suite 280 svg-precision-skill 250 qr-code-generator 241 data-storyteller 225 roi-calculator 197 svg-precision 188

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 99
Default branch main
Open issues 2
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,239 B
  • docs SUMMARY.md 186 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 4,720 installs

SKILL.md

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/businesscardscanner.py - scripts/receipt_scanner.py

  1. 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.