PaddleOCR is by PaddlePaddle — not by us.
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Indexed Sep 21, 2026 · 89,930 stars at index time. Maintainers: claiming verifies your identity and unlocks a higher assurance tier. Removal requests are honored.
Application · for humans & their agents
PaddleOCR
unclaimed listingactively maintainedFreeApache-2.0
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the ga
by Open Source Community · New publisher
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PaddlePaddle/PaddleOCR is an open-source project by PaddlePaddle: Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.. Indexed here so it can be found — not resold.
It is free. Get it from the upstream repository: https://github.com/PaddlePaddle/PaddleOCR
From the project's own README (excerpt, reproduced for discovery under its Apache-2.0 license):
Global Leading OCR Toolkit & Document AI Engine
English 简体中文 繁體中文 日本語 한국어 Français Русский Español العربية
PaddleOCR converts PDF documents and images into structured, LLM-ready data (JSON/Markdown) with industry-leading accuracy. With 70k+ Stars and trusted by top-tier projects like Dify, RAGFlow, and Cherry Studio, PaddleOCR is the bedrock for building intelligent RAG and Agentic applications.
🚀 Key Features
📄 Intelligent Document Parsing (LLM-Ready) > Transforming messy visuals into structured data for the LLM era.
SOTA Document VLM: Featuring PaddleOCR-VL-1.6 (0.9B), the industry's leading lightweight vision-language model for document parsing. It achieves 96.3% accuracy on OmniDocBench v1.6, leads in text, formula, and table recognition, and shows significantly enhanced capabilities in ancient documents, rare characters, seals, and charts, with structured outputs in Markdown and JSON formats. Structure-Aware Conversion: Powered by PP-StructureV3, seamlessly convert complex PDFs and images into Markdown or JSON. Unlike the PaddleOCR-VL series models, it provides more fine-grained coordinate information, including table cell coordinates, text coordinates, and more. Production-Ready Efficiency: Achieve commercial-grade accuracy with an ultra-small footprint. Outperforms numerous closed-source solutions in public benchmarks while remaining resource-efficient for edge/cloud deployment.
🔍 Universal Text Recognition (Scene OCR) > The global gold standard for high-speed, multilingual text spotting.
100+ Languages Supported: Native recognition for a vast global library. PP-OCRv6 supports 50 languages with a single unified model (Chinese, English, Japanese, and 46 Latin-script languages) — no model switching needed for multilingual…
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01Capabilities
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02Requirements & stack
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03Community
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04Trust Passport
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05Versions
Full history →| Version | Channel | Released | Notes |
|---|---|---|---|
| 0.0.0 | stable | Sep 21, 2026 | Indexed listing — see the upstream repository for real release history. |