head to head · open source

PaddleOCR vs Agent-Reach

PaddleOCR has 89,729 GitHub stars, 11,355 forks, 243 open issues and last shipped 2 days ago. Agent-Reach has 82,763 stars, 7,236 forks, 137 open issues and last shipped 3 days ago. PaddleOCR leads on adoption by 8% (89,729 vs 82,763 stars). PaddleOCR is written in Python under Apache-2.0; Agent-Reach is written in Python under MIT. PaddleOCR has attracted 13% as many forks as stars, Agent-Reach 9%. PaddleOCR 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 ★ 90K Agent-Reach ★ 83K category AI & Machine Learning

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Side by side

PaddleOCR Agent-Reach
GitHub stars ★ 90K ★ 83K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-09-16 2026-09-15
Forks ⑂ 11K ⑂ 7.2K
Self-hosting Yes Yes
Data ownership Your server Your server

pick PaddleOCR if

  • You weight community size — 90K 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 Agent-Reach if

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

full Agent-Reach profile →

About PaddleOCR

PaddleOCR is an Apache 2.0 Python OCR and document AI toolkit that converts PDFs and images into structured, LLM ready JSON or Markdown across more than 100 languages, and it is built for developers who need to feed documents into RAG pipelines, agents, and document parsing services.

read the full PaddleOCR overview →

About Agent-Reach

Agent Reach is an open source Python command line tool that gives AI agents the ability to read and search the wider internet — Twitter/X, Reddit, YouTube, GitHub, Bilibili, and XiaoHongShu among others — for developers and agent builders who want that reach without paying for platform APIs.

read the full Agent-Reach overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K langchain ★ 147K

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

PaddleOCR vs Dify PaddleOCR vs langchain PaddleOCR vs ponytail PaddleOCR vs generative-ai-for-beginners PaddleOCR vs graphify PaddleOCR vs claude-mem PaddleOCR vs ragflow PaddleOCR vs headroom PaddleOCR vs Mem0 PaddleOCR vs daily_stock_analysis PaddleOCR vs LiteLLM PaddleOCR vs Multica

Frequently asked questions

Is PaddleOCR or Agent-Reach more popular?

PaddleOCR has 89,729 GitHub stars and Agent-Reach has 82,763. PaddleOCR has the larger community by that measure.

Are PaddleOCR and Agent-Reach free?

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

What is the difference between PaddleOCR and Agent-Reach?

PaddleOCR is written in Python and Agent-Reach in Python. 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 Agent-Reach?

Choose PaddleOCR if you want the larger community (89,729 stars) or its Apache-2.0 licence terms. Choose Agent-Reach if its feature set, stack or MIT licence fits better. Both are self-hostable.