PaddleOCR
PaddleOCR is a powerful and lightweight open source OCR toolkit that enables conversion of images and PDF documents into structured data for AI applications. It supports over 100 languages, making it a versatile bridge between image/PDF content and large language models (LLMs) for a wide range of tasks.
PaddleOCR is built in Python, distributed under the Apache License 2.0, 66.2k GitHub stars from 100 contributors, latest release v3.3.2.
When to use PaddleOCR
PaddleOCR is listed here as a AI project. The directory calls out Supports 100+ languages, Lightweight and high performance OCR, Seamless conversion of images/PDFs into structured data as capabilities associated with it.
Other recorded traits for PaddleOCR include Integration with large language models (LLMs), Open source and well-documented, Suitable for diverse AI and data applications.
Besides AI, this page also files PaddleOCR under Data Science, Tools, Python.
PaddleOCR compared with
Records in this directory name Tesseract, EasyOCR, Google Cloud Vision, OCRopus as products people compare with PaddleOCR. That list is editorial metadata, not a claim that PaddleOCR replaces each of them.
What the PaddleOCR stats reflect
GitHub currently shows 66.2k GitHub stars, about 100 contributors, 9.5k forks, 260 open issues, latest tracked release v3.3.2. Star and activity counts here are a snapshot used as a proxy for community adoption, not a quality score.
Stats refreshed
- Language
- Python
- Latest Release
- v3.3.2
- License
- Apache License 2.0
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Key features of PaddleOCR
- Supports 100+ languages
- Lightweight and high performance OCR
- Seamless conversion of images/PDFs into structured data
- Integration with large language models (LLMs)
- Open source and well-documented
- Suitable for diverse AI and data applications
Recorded alternatives to PaddleOCR
PaddleOCR resources
PaddleOCR on GitHub
Frequently asked questions
What is PaddleOCR?
PaddleOCR is a powerful and lightweight open source OCR toolkit that enables conversion of images and PDF documents into structured data for AI applications. It supports over 100 languages, making it a versatile bridge between image/PDF content and large language models (LLMs) for a wide range of tasks. This directory highlights Supports 100+ languages, Lightweight and high performance OCR, Seamless conversion of images/PDFs into structured data.
Is PaddleOCR free to use?
PaddleOCR is published as open source under the Apache License 2.0. The directory lists Supports 100+ languages, Lightweight and high performance OCR, Seamless conversion of images/PDFs into structured data among its recorded capabilities.
What language is PaddleOCR written in, and what is the latest release?
PaddleOCR is written primarily in Python. The latest release tracked on this page is v3.3.2.
How widely is PaddleOCR used on GitHub?
PaddleOCR has about 66.2k GitHub stars across about 100 contributors. It also has about 9.5k forks. Those counts are a snapshot of community attention, not a ranking of quality.
What do people compare PaddleOCR with?
This directory records Tesseract, EasyOCR, Google Cloud Vision, OCRopus as comparison points for PaddleOCR.
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