head to head · open source

PaddleOCR vs AIHawk

PaddleOCR has 92,231 GitHub stars, 11,616 forks, 243 open issues and last shipped 2 months ago. AIHawk has 32,383 stars, 4,739 forks, 1 open issues and last shipped 5 days ago. PaddleOCR leads on adoption by 185% (92,231 vs 32,383 stars). PaddleOCR is written in Python under Apache-2.0; AIHawk is written in TypeScript under MIT. PaddleOCR has attracted 13% as many forks as stars, AIHawk 15%. AIHawk 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.

PaddleOCR ★ 92K AIHawk ★ 32K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

PaddleOCR AIHawk
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

full PaddleOCR profile →

pick AIHawk if

  • You want the AIHawk feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches TypeScript
  • You evaluated both and AIHawk fits your workflow better

full AIHawk profile →

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

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 tell your assistant it exists. 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 overview →

More in AI & Machine Learning

Related comparisons

More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

Frequently asked questions

Is PaddleOCR or AIHawk more popular?

PaddleOCR has 92,231 GitHub stars and AIHawk has 32,383. PaddleOCR has the larger community by that measure.

Are PaddleOCR and AIHawk free?

Both are open source. PaddleOCR is licensed under Apache-2.0 and AIHawk under MIT. Neither carries a licence fee.

What is the difference between PaddleOCR and AIHawk?

PaddleOCR is written in Python and AIHawk 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?

Choose PaddleOCR if you want the larger community (92,231 stars) or its Apache-2.0 licence terms. Choose AIHawk if its feature set, stack or MIT licence fits better. Both are self-hostable.