head to head · open source
PaddleOCR vs ruoyi-ai
PaddleOCR has 92,231 GitHub stars, 11,616 forks, 243 open issues and last shipped 2 months ago. ruoyi-ai has 5,805 stars, 1,430 forks, 7 open issues and last shipped 15 days ago. PaddleOCR leads on adoption by 1,489% (92,231 vs 5,805 stars). PaddleOCR is written in Python under Apache-2.0; ruoyi-ai is written in Java under MIT. PaddleOCR has attracted 13% as many forks as stars, ruoyi-ai 25%. ruoyi-ai was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| PaddleOCR | ruoyi-ai | |
|---|---|---|
| GitHub stars | ★ 92K | ★ 5.8K |
| License | Apache-2.0 | MIT |
| Written in | Python | Java |
| Last push | 2026-09-16 | 2026-10-21 |
| Forks | ⑂ 12K | ⑂ 1.4K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick PaddleOCR if
- You weight community size — 92K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick ruoyi-ai if
- You want the ruoyi-ai feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Java
- You evaluated both and ruoyi-ai fits your workflow better
About PaddleOCR
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…
read the full PaddleOCR overview →
About ruoyi-ai
RuoYi AI [![Contributors][contributors shield]][contributors url] [![Forks][forks shield]][forks url] [![Stargazers][stars shield]][stars url] [![Issues][issues shield]][issues url] [![MIT License][license shield]][license url] Enterprise Grade AI Assistant Platform An out of the box full stack AI platform supporting multi agent collaboration, Supervisor mode orchestration, and multiple decision models, with advanced RAG technology and visual workflow orchestration capabilities 中文 📖 Documentation 🚀 Live Demo 🐛 Report Issues 💡 Feature Requests 🚀 Live Demo ✨ Core Features Project Repositories Partner Projects…
read the full ruoyi-ai overview →
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Frequently asked questions
Is PaddleOCR or ruoyi-ai more popular?
PaddleOCR has 92,231 GitHub stars and ruoyi-ai has 5,805. PaddleOCR has the larger community by that measure.
Are PaddleOCR and ruoyi-ai free?
Both are open source. PaddleOCR is licensed under Apache-2.0 and ruoyi-ai under MIT. Neither carries a licence fee.
What is the difference between PaddleOCR and ruoyi-ai?
PaddleOCR is written in Python and ruoyi-ai in Java. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, PaddleOCR or ruoyi-ai?
Choose PaddleOCR if you want the larger community (92,231 stars) or its Apache-2.0 licence terms. Choose ruoyi-ai if its feature set, stack or MIT licence fits better. Both are self-hostable.