head to head · open source
PaddleOCR vs aihawk_mcp_server
PaddleOCR has 92,143 GitHub stars, 11,613 forks, 243 open issues and last shipped 2 months ago. aihawk_mcp_server has 32,357 stars, 4,739 forks, 2 open issues and last shipped 3 days ago. PaddleOCR leads on adoption by 185% (92,143 vs 32,357 stars). PaddleOCR is written in Python under Apache-2.0; aihawk_mcp_server is written in TypeScript under MIT. PaddleOCR has attracted 13% as many forks as stars, aihawk_mcp_server 15%. aihawk_mcp_server 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 | aihawk_mcp_server | |
|---|---|---|
| GitHub stars | ★ 92K | ★ 32K |
| License | Apache-2.0 | MIT |
| Written in | Python | TypeScript |
| Last push | 2026-09-16 | 2026-10-31 |
| Forks | ⑂ 12K | ⑂ 4.7K |
| 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 aihawk_mcp_server if
- You want the aihawk_mcp_server feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches TypeScript
- You evaluated both and aihawk_mcp_server 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 aihawk_mcp_server
AIHawk is an anti detect browser and web browsing agent, open source, with an MCP server for coding agents: undetected, no captchas, no blocks. Tell it what you want in plain language. FEATURED IN Business Insider · TechCrunch · Semafor · Wired · The Verge · Vanity Fair · 404 Media Two ways to use this browser agent 1. From your assistant, over MCP Windows, in PowerShell: Linux: Then install it in your assistant. Claude Code: Codex: Gemini CLI: 2. Standalone: the web UI We bring the interface, you bring an OpenRouter key. Chat on the left, the live browser on the right. Windows, in PowerShell: Linux: Then open…
read the full aihawk_mcp_server overview →
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Frequently asked questions
Is PaddleOCR or aihawk_mcp_server more popular?
PaddleOCR has 92,143 GitHub stars and aihawk_mcp_server has 32,357. PaddleOCR has the larger community by that measure.
Are PaddleOCR and aihawk_mcp_server free?
Both are open source. PaddleOCR is licensed under Apache-2.0 and aihawk_mcp_server under MIT. Neither carries a licence fee.
What is the difference between PaddleOCR and aihawk_mcp_server?
PaddleOCR is written in Python and aihawk_mcp_server in TypeScript. 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 aihawk_mcp_server?
Choose PaddleOCR if you want the larger community (92,143 stars) or its Apache-2.0 licence terms. Choose aihawk_mcp_server if its feature set, stack or MIT licence fits better. Both are self-hostable.