head to head · open source

PaddleOCR vs Upsonic

PaddleOCR has 92,231 GitHub stars, 11,616 forks, 243 open issues and last shipped 2 months ago. Upsonic has 7,969 stars, 744 forks, 33 open issues and last shipped 5 months ago. PaddleOCR leads on adoption by 1,057% (92,231 vs 7,969 stars). PaddleOCR is written in Python under Apache-2.0; Upsonic is written in Python under MIT. PaddleOCR has attracted 13% as many forks as stars, Upsonic 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 ★ 92K Upsonic ★ 8.0K category AI & Machine Learning

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Side by side

PaddleOCR Upsonic
GitHub stars ★ 92K ★ 8.0K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-09-16 2026-06-18
Forks ⑂ 12K ⑂ 744
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 Upsonic if

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

full Upsonic 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 Upsonic

Upsonic Build Autonomous AI Agents in Python Documentation • Quickstart • Examples • Discord Overview Upsonic is a Python framework for building autonomous agents like OpenClaw and Claude Cowork, as well as more traditional agent systems. Quick Start Installation IDE Integration Add Upsonic docs as a source in your coding tools: Cursor: Settings → Indexing & Docs → Add Also works with VSCode, Windsurf, and similar tools. Create Autonomous Agent Build Your Own All file and shell operations are restricted to workspace . Path traversal and dangerous commands are blocked. Use Our Prebuilt Ones Prebuilt autonomous…

read the full Upsonic overview →

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Frequently asked questions

Is PaddleOCR or Upsonic more popular?

PaddleOCR has 92,231 GitHub stars and Upsonic has 7,969. PaddleOCR has the larger community by that measure.

Are PaddleOCR and Upsonic free?

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

What is the difference between PaddleOCR and Upsonic?

PaddleOCR is written in Python and Upsonic 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 Upsonic?

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