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paddleocr-doc-parsing

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转Markdown, 图表, 阅读顺序; reading order, formula, LaTeX, layout parsing, structure extraction, PP-StructureV3, PaddleOCR-VL.

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=paddlepaddle-paddleocr-skills-paddleocr-doc-parsing-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name paddleocr-doc-parsing description 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转Markdown, 图表, 阅读顺序; reading order, formula, LaTeX, layout parsing, structure extraction, PP-StructureV3, PaddleOCR-VL. license Apache-2.0 metadata {"openclaw":{"requires":{"env":"[Truncated]","bins":"[Truncated]"},"primaryEnv":"PADDLEOCR_ACCESS_TOKEN","emoji":"📄","install":["[Truncated]"]}} 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: paddleocr api \ --model_type doc_parsing \ --file_url "https://example.com/report.pdf" From local file: paddleocr api \ --model_type doc_parsing \ --file_path "./document.pdf" Common Options # With specific model paddleocr api \ --model_type doc_parsing \ --model PP-StructureV3 \ --file_path "./report.pdf" # Disable preprocessing (faster, for flat/well-oriented images) paddleocr api \ --model_type doc_parsing \ --file_path "./document.pdf" \ --use_doc_unwarping False \ --use_doc_orientation_classify False # With page ranges paddleocr api \ --model_type doc_parsing \ --file_path "./large.pdf" \ --page_ranges "1-5,10,15-20" # Save result and resources paddleocr api \ --model_type doc_parsing \ --file_url "https://..." \ --output result.json \ --save_resources ./resources # Prettify markdown output paddleocr api \ --model_type doc_parsing \ --file_path "./document.pdf" \ --prettify_markdown True Output Format { "jobId" : "job-xxx" , "pages" : [ { "markdownText" : "# Title\n\nContent..." , "markdownImages" : { "img1" : "https://..." , "img2" : "https://..." } , "outputImages" : { "layout1" : "https://..." } } ] } Important Notes Preprocessing options : For flat, well-oriented images (screenshots, properly scanned documents), you can disable preprocessing for faster results: paddleocr api --model_type doc_parsing --file_path "./document.pdf" --use_doc_unwarping False --use_doc_orientation_classify False 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
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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