head to head · open source
PaddleOCR vs GenerativeAIExamples
PaddleOCR has 89,852 GitHub stars, 11,370 forks, 243 open issues and last shipped 4 days ago. GenerativeAIExamples has 4,185 stars, 1,099 forks, 84 open issues and last shipped 11 days ago. PaddleOCR leads on adoption by 2,047% (89,852 vs 4,185 stars). PaddleOCR is written in Python under Apache-2.0; GenerativeAIExamples is written in Jupyter Notebook under Apache-2.0. PaddleOCR has attracted 13% as many forks as stars, GenerativeAIExamples 26%. 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.
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Side by side
| PaddleOCR | GenerativeAIExamples | |
|---|---|---|
| GitHub stars | ★ 90K | ★ 4.2K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Python | Jupyter Notebook |
| Last push | 2026-09-16 | 2026-09-09 |
| Forks | ⑂ 11K | ⑂ 1.1K |
| 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
pick GenerativeAIExamples if
- You want the GenerativeAIExamples feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Jupyter Notebook
- You evaluated both and GenerativeAIExamples 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 GenerativeAIExamples
NVIDIA GenerativeAIExamples is an Apache 2.0 collection of Jupyter notebook reference workflows for building RAG pipelines, agentic workflows and fine tuning jobs on NVIDIA accelerated infrastructure and microservice architecture, aimed at developers who are already working inside the NVIDIA software ecosystem.
read the full GenerativeAIExamples overview →
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Frequently asked questions
Is PaddleOCR or GenerativeAIExamples more popular?
PaddleOCR has 89,852 GitHub stars and GenerativeAIExamples has 4,185. PaddleOCR has the larger community by that measure.
Are PaddleOCR and GenerativeAIExamples free?
Both are open source. PaddleOCR is licensed under Apache-2.0 and GenerativeAIExamples under Apache-2.0. Neither carries a licence fee.
What is the difference between PaddleOCR and GenerativeAIExamples?
PaddleOCR is written in Python and GenerativeAIExamples in Jupyter Notebook. 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 GenerativeAIExamples?
Choose PaddleOCR if you want the larger community (89,852 stars) or its Apache-2.0 licence terms. Choose GenerativeAIExamples if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.