PaddleOCR
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.
Concise Brief · Core Value & Positioning
Jargon-free breakdown of core value and deliverable form
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.
AI & LLMs
AI Agent / LLM Engineering
Python · Apache-2.0
Milestone Forecast
Projected by recent velocity
Star history
Tracking 102 verified historical snapshots
Vitality Telemetry
Geek Clone & Cloud Code Inspector
1-click clone or inspect source code & AI architecture online
Top PaddleOCR Open-Source Alternatives & Related Repos
Use AI agents to reverse engineer app behavior and native binaries with tool integrations.
Debloat any Android or Google TV over Wi-Fi and get a clean Apple TV-style home screen.
Frequently Asked Questions about PaddleOCR
What is PaddlePaddle/PaddleOCR (PaddleOCR) and what problem does it solve?
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. Maintained by PaddlePaddle and primarily written in Python, it is ranked in the AI & LLMs category on GitRank.
How fast is PaddleOCR growing on GitHub?
PaddlePaddle/PaddleOCR currently has 92,077 stars and 11,604 forks on GitHub with a 83/100 engineering health score, verified by GitRank's 4-layer anti-spam filter.
What are the best open-source alternatives to PaddleOCR?
Top open-source alternatives and similar repositories to PaddleOCR in the AI & LLMs ecosystem include morluto/rea, Gathin23/cleanyourtv, HKUDS/DeepTutor, debpalash/VoiceStudio. Compare their star velocity and tech stacks directly on GitRank.
How do I install or clone PaddleOCR?
You can clone the repository directly via `git clone https://github.com/PaddlePaddle/PaddleOCR.git` and follow the official README instructions on GitHub.