
Paddleocr Doc Parsing
PaddleOCR's document parsing goes beyond basic OCR by returning structured data including tables, mathematical formulas, charts, and full layout analysis. This is what you reach for when dealing with complex documents like financial reports, academic papers, or multi-column layouts where you need to preserve the document structure, not just extract raw text. The skill is strict about routing everything through the PaddleOCR API and explicitly forbids fallback attempts, which is honest but means you need the API configured before it's useful. Output comes as JSON with complete content in markdown format, and the docs are clear about displaying full results rather than truncating.
- skills.sh installs
- 373
- GitHub stars
- 474
- last updated
- Aug 21, 2026
Install
$ npx -y skills add freestylefly/canghe-skills --skill paddleocr-doc-parsing --agent claude-codeInstalls into .claude/skills of the current project.
Files
PaddleOCR Document Parsing Skill
When to Use This Skill
Use Document Parsing for:
- Documents with tables (invoices, financial reports, spreadsheets)
- Documents with mathematical formulas (academic papers, scientific documents)
- Documents with charts and diagrams
- Multi-column layouts (newspapers, magazines, brochures)
- Complex document structures requiring layout analysis
- Any document requiring structured understanding
Use Text Recognition instead for:
- Simple text-only extraction
- Quick OCR tasks where speed is critical
- Screenshots or simple images with clear text
How to Use This Skill
⛔ MANDATORY RESTRICTIONS - DO NOT VIOLATE ⛔
- ONLY use PaddleOCR Document Parsing API - Execute the script
python scripts/vl_caller.py - NEVER parse documents directly - Do NOT parse documents yourself
- NEVER offer alternatives - Do NOT suggest "I can try to analyze it" or similar
- IF API fails - Display the error message and STOP immediately
- NO fallback methods - Do NOT attempt document parsing any other way
Sponsors
Details
- Repository
- github.com/freestylefly/canghe-skills
- Categories
- Frontend Development, Documentation, AI & Agent Building
- First seen
- Jun 3, 2026
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