Overview

EasyOCR is an OCR Python package for detecting and recognizing text in images. Based on PyTorch, it focuses on ease of use and its wide range of languages, supporting 80+ languages including English, with new languages occasionally added. It also features the capability to train and use a custom-trained recognition and detection model.

It is licensed under an Apache-2.0 license and currently has more than 20,000 stars on its GitHub repository.

‍

Use cases

Digitizing printed documents

Extracting text from photographs

Recognizing text in natural scenes (e.g., street signs, billboards)

Assisting in data entry and document management systems

Enabling accessibility features such as text-to-speech for the visually impaired.

Performance

Compared to other popular OCR models, EasyOCR has novel accuracy. EasyOCR also holds up in terms of runtime for GPU’s. However, EasyOCR is significantly slower than other models in terms of CPU runtime.

‍

Use This Model

Label Data Automatically with EasyOCR

You can automatically label a dataset using EasyOCR with help from Autodistill, an open source package for training computer vision models. You can label a folder of images automatically with only a few lines of code. Below, see our tutorials that demonstrate how to use EasyOCR to train a computer vision model.

No items found.