JaidedAI/EasyOCR

Project overview

EasyOCR is a Python library that provides ready-to-use optical character recognition for more than 80 languages. It accepts multiple image formats and returns structured text with bounding boxes, configurable via a Python API or command-line interface.

Project type

Document Processing

Use cases

Documents & Office

Deployment

Refer to project documentation

License

Apache-2.0

Best for

• Developers needing to extract text from images across more than 80 supported languages and popular writing scripts.

Key capabilities

• Provides ready-to-use OCR for more than 80 supported languages and popular writing scripts.
• Accepts image file paths, OpenCV image arrays, image bytes, and raw-image URLs as OCR input.
• Returns list items containing a bounding box, detected text, and confidence level.
• Can return simpler OCR output by setting detail to zero.
• Provides an easyocr command for OCR on an image with selected languages and a GPU setting.
• Plans to support swappable detection and recognition algorithms.

Limitations and risks

• Several languages can be passed together, but not all languages can be used together.

Getting started

• Install easyocr with pip, create a Reader for the desired languages, and call readtext on an image input.

Evidence and sources

• README: **Tech leader/Guru:** If you found this library useful, please spread the word!
• GitHub project description: Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
• README: Note 2: Instead of the filepath `chinese.jpg`, you can also pass an OpenCV image object (numpy array) or an image file as bytes. A URL to a raw image is also acceptable.
• README: The output will be in a list format, each item represents a bounding box, the text detected and confident level, respectively.
• README: You can also set `detail=0` for simpler output.

Reviewed at: 2026-07-21T06:47:32Z