head to head · open source
PaddleOCR vs Multica
PaddleOCR has 89,729 GitHub stars, 11,355 forks, 243 open issues and last shipped 2 days ago. Multica has 50,299 stars, 6,507 forks, 1,538 open issues and last shipped yesterday. PaddleOCR leads on adoption by 78% (89,729 vs 50,299 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 | ★ 90K | ★ 50K |
| License | Apache-2.0 | Custom / other |
| Written in | Python | Go |
| Last push | 2026-09-16 | 2026-09-17 |
| Forks | ⑂ 11K | ⑂ 6.5K |
| 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
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
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 Multica
Multica is an open source project management platform designed for teams combining human developers and AI coding agents. It operates in the AI development ecosystem, providing a unified workspace where agents function as first class collaborators alongside people. The platform solves the problem of fragmented agent workflows: when using multiple AI tools like Claude Code, Codex, or Cursor in separate terminal sessions, context is lost between runs, coordination becomes manual, and oversight is difficult. Multica centralizes agent execution, assignment, and review into a single system where work flows from issue …
read the full Multica overview →
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Frequently asked questions
Is PaddleOCR or Multica more popular?
PaddleOCR has 89,729 GitHub stars and Multica has 50,299. 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 (89,729 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.