PaddleOCR is an OCR and document-processing toolkit that converts images and PDFs into structured text and data such as Markdown or JSON. It is used to extract text, tables, formulas, and other document content for applications involving document understanding, retrieval, and language models; the catalogue entries provide skills for working with it.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add PaddlePaddle/PaddleOCR --skill paddleocr-doc-parsinggit clone --depth 1 https://github.com/PaddlePaddle/PaddleOCRWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/paddlepaddle/paddleocr/paddleocr-doc-parsing)<a href="https://agentmods.dev/skills/paddlepaddle/paddleocr/paddleocr-doc-parsing"><img src="https://agentmods.dev/badge/skills/paddlepaddle/paddleocr/paddleocr-doc-parsing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/paddlepaddle/paddleocr/paddleocr-doc-parsing"><img src="https://agentmods.dev/badge/skills/paddlepaddle/paddleocr/paddleocr-doc-parsing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00140 | $0.00966 |
| Opus 5 | $0.00070 | $0.00483 |
| Sonnet 5 | $0.00028 | $0.00193 |
| Haiku 4.5 | $0.00014 | $0.00097 |
Grade A, and why
paddleocr-doc-parsing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 139 lines · 140 tokens per session scan A 16f943b1e47f
paddleocr-doc-parsing is a skill published in the GitHub repository PaddlePaddle/PaddleOCR (89,133 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 140 tokens to every session and 966 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
paddleocr-doc-parsing
A document-reading skill that turns complex PDFs and document images into structured Markdown or JSON. It can preserve tables, formulas, figures, and reading order.
kreuzberg
Extract text, tables, metadata, and images from 91+ document formats (PDF, Office, images, HTML, email, archives, academic) using Kreuzberg. Use when writing code that calls Kreuzberg APIs in Python, Node.js/TypeScript, Rust, or CLI. Covers installation, extraction (sync/async), configuration (OCR, chunking, output…
paddleocr-text-recognition
An OCR tool that reads text from images, photos, screenshots, scans, and scanned PDFs, with optional text locations. OCR means converting text in an image into editable computer text.
format-specific-extraction
ZIP archive → Security validation → XML parsing → Text + tables + metadata.
paddleocr-skills-setup
Install and configure two PaddleOCR Agent Skills for text recognition and structured document parsing in Codex, Claude Code, GitHub Copilot, Cursor, OpenCode, OpenClaw, and other compatible agents. Use for OCR and image-to-text from screenshots, photos, scans, and PDFs; Chinese/CJK text and bounding boxes…
paddleocr-mcp
Use the local PaddleOCR MCP SDK v2 server for image OCR, PDF/document parsing, screenshots, tables, and structured text extraction.