head to head · open source

PaddleOCR vs humanizer

PaddleOCR has 89,852 GitHub stars, 11,370 forks, 243 open issues and last shipped 4 days ago. humanizer has 50,313 stars, 4,058 forks, 13 open issues and last shipped 14 days ago. PaddleOCR leads on adoption by 79% (89,852 vs 50,313 stars). PaddleOCR is written in Python under Apache-2.0; humanizer is written in Python under MIT. PaddleOCR has attracted 13% as many forks as stars, humanizer 8%. 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 humanizer ★ 50K category AI & Machine Learning

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Side by side

PaddleOCR humanizer
GitHub stars ★ 90K ★ 50K
License Apache-2.0 MIT
Written in Python Python
Last push 2026-09-16 2026-09-06
Forks ⑂ 11K ⑂ 4.1K
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 humanizer if

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

full humanizer 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 humanizer

Humanizer is an MIT licensed agent skill that rewrites AI sounding text so it reads like a person wrote it without changing what it says, and it is aimed at writers, developers, and documentation teams working inside Claude Code, Codex, Cursor, or any other agent that supports skills.

read the full humanizer overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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Frequently asked questions

Is PaddleOCR or humanizer more popular?

PaddleOCR has 89,852 GitHub stars and humanizer has 50,313. PaddleOCR has the larger community by that measure.

Are PaddleOCR and humanizer free?

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

What is the difference between PaddleOCR and humanizer?

PaddleOCR is written in Python and humanizer 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 humanizer?

Choose PaddleOCR if you want the larger community (89,852 stars) or its Apache-2.0 licence terms. Choose humanizer if its feature set, stack or MIT licence fits better. Both are self-hostable.