head to head · open source
PaddleOCR vs Multica
PaddleOCR has 92,143 GitHub stars, 11,613 forks, 243 open issues and last shipped 2 months ago. Multica has 54,637 stars, 7,186 forks, 1,538 open issues and last shipped yesterday. PaddleOCR leads on adoption by 69% (92,143 vs 54,637 stars). PaddleOCR is written in Python under Apache-2.0; Multica is written in Go under a custom or non-standard licence. PaddleOCR has attracted 13% as many forks as stars, Multica 13%. Multica 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 | Multica | |
|---|---|---|
| GitHub stars | ★ 92K | ★ 55K |
| License | Apache-2.0 | Custom / other |
| Written in | Python | Go |
| Last push | 2026-09-16 | 2026-11-02 |
| Forks | ⑂ 12K | ⑂ 7.2K |
| 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 Multica if
- You want the Multica feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches Go
- You evaluated both and Multica 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 Multica
Multica Agents that show up on the board. Multica is an open source workspace where you assign work to AI coding agents the way you'd assign it to a teammate — they pick up the issue, report progress, raise blockers, and hand it back for review. Self hostable, works with 26 agent CLIs, no lock in. Website · Docs · Quickstart · Download · Vision · Self Hosting · Discord · X English 简体中文 Your next 10 hires won't be human. What is Multica? You already run Claude Code, Codex, and three other agents. Each one lives in its own terminal tab, forgets everything when the session ends, and leaves you re explaining the…
read the full Multica overview →
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Frequently asked questions
Is PaddleOCR or Multica more popular?
PaddleOCR has 92,143 GitHub stars and Multica has 54,637. PaddleOCR has the larger community by that measure.
Are PaddleOCR and Multica free?
Both are open source. PaddleOCR is licensed under Apache-2.0, and Multica has no licence declared in this registry. Both are free to self-host.
What is the difference between PaddleOCR and Multica?
PaddleOCR is written in Python and Multica in Go. 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 Multica?
Choose PaddleOCR if you want the larger community (92,143 stars) or its Apache-2.0 licence terms. Choose Multica if its feature set, stack or Custom / other licence fits better. Both are self-hostable.