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EasyOCR
What it is
EasyOCR is a free Python module for extracting text from images, including natural scene text and dense document text. The project says it supports more than 80 languages, and compatible languages can be processed together. Its readtext method can return recognized text with bounding-box coordinates and confidence values, or provide text alone. Inputs may be image file paths, NumPy arrays, bytes, or URLs. The Reader can use a GPU when one is available or run in CPU-only mode. Pretrained models download automatically when EasyOCR is used, with manual downloads available for offline environments. The API allows custom recognition networks and settings for detection, recognition, decoding, and text-box merging. Installation choices include pip, source, and Docker; Windows users may need to install PyTorch manually first. The project also provides a web demo and is integrated into Hugging Face Spaces through Gradio. EasyOCR is licensed under Apache-2.0. Handwriting recognition is not available; the README lists it as planned work.
For and against
For
- Supports more than 80 languages.
- Accepts file paths, arrays, bytes, or URLs.
- Can run with a GPU or in CPU-only mode.
- Offers manual model downloads for offline environments.
- Free under the Apache-2.0 license.
Against
- Handwriting recognition is listed as planned work.
- Windows users may need to install PyTorch manually first.
- No searchable PDF or Word export.
The verdict
EasyOCR offers flexible image inputs and recognition output for Python projects, with GPU and CPU-only options. It is not a fit for handwriting recognition, and Windows setup may require a separate PyTorch installation.
Who it suits
EasyOCR suits developers building image text extraction into Python workflows, including work with multiple compatible languages or offline environments. It may also suit users who can provide images in one of its supported input forms and do not need handwriting recognition.
Plans and prices
EasyOCR
Open-source OCR library · no paid plans listed
Read 4 Oct 2026 · github.com
On the record
- Compute options
- The Reader can use a GPU when available or run in CPU-only mode.jaided.ai · read 4 Oct 2026
- Customization
- The API supports custom recognition networks and configurable detection, recognition, decoding, and text-box merging options.jaided.ai · read 4 Oct 2026
- Handwriting OCR
- Nogithub.com · read 23 Sep 2026
- Input formats
- Images can be supplied as a file path, NumPy array, bytes, or URL.jaided.ai · read 4 Oct 2026
- Supported inputs
- imagegithub.com · read 23 Sep 2026
- Installation
- The maker documents installation through pip, from source, or with Docker; Windows users may need to install PyTorch manually first.jaided.ai · read 4 Oct 2026
- Integrations
- The repository says EasyOCR is integrated into Hugging Face Spaces using Gradio and provides a web demo.github.com · read 4 Oct 2026
- Issue handling
- The repository says that issues older than six months are automatically closed and can be reopened if critical.github.com · read 4 Oct 2026
- Supported languages
- 80github.com · read 23 Sep 2026
- Languages
- The project states that it supports more than 80 languages, and compatible languages can be read together.jaided.ai · read 4 Oct 2026
- License
- The public GitHub repository identifies EasyOCR as licensed under Apache-2.0.github.com · read 4 Oct 2026
- Maker
- jDai Lab says it was founded in 2020 and describes itself as a small, independent AI research lab; the about page does not state its headquarters.jaided.ai · read 4 Oct 2026
- Model downloads
- Pretrained models download automatically when EasyOCR is used, and can also be downloaded manually for offline environments.jaided.ai · read 4 Oct 2026
- Notable limitation
- The README lists handwritten text support as planned work.github.com · read 4 Oct 2026
- Primary platform
- desktopgithub.com · read 23 Sep 2026
- Purpose
- EasyOCR is a Python module for extracting text from images, including natural scene text and dense document text.jaided.ai · read 4 Oct 2026
- Recognition output
- The readtext method returns detected text with bounding box coordinates and confidence values, with an option for text-only output.jaided.ai · read 4 Oct 2026
- Security
- The maker pages reviewed do not state a security certification or compliance claim for EasyOCR.jaided.ai · read 4 Oct 2026
