Use this skill to extract structured Markdown/JSON from PDFs and document images—tables with cell-level precision, formulas as LaTeX, figures, seals, charts, headers/footers, multi-column layout and correct reading order. Trigger terms: 文档解析, 版面分析, 版面还原, 表格提取, 公式识别, 多栏排版, 扫描件结构化, 发票, 财报, 复杂 PDF, PDF

PaddleOCR Document Parsing When to Use This Skill Use this skill 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 Usage Basic Document Parsing From URL: From local file: Common Options Output Format Important Notes Preprocessing options : For flat, well oriented images (screenshots, properly scanned documents), you can disable preprocessing for faster results: Keep preprocessing enabled when: The input is a photo of a curved or folded document The document has significant perspective distortion Orientation is uncertain (rotated 90/180/270 degrees) Display complete results : Always show the full extracted content to users. Do not truncate with "..." unless content exceeds 10,000 characters. When multiple pages are processed, summarize if needed but provide complete results when explicitly requested. Handle errors gracefully : When the CLI returns an error, inform the user of the specific issue rather than silently failing. Common errors: Authentication: PADDLEOCR ACCESS TOKEN invalid or missing Quota: API rate limit exceeded No content detected: Document may be blank or contain no extractable text CLI Reference Run paddleocr api help for all options. For full documentation, see: [PaddleOCR Official Documentation](https://www.paddleocr.ai/latest/en/version3.x/inference deployment/serving/paddleocr official api/cli.html)

paddleocr-doc-parsing