Try the Model

Use the widget below to experiment with EasyOCR. You can detect COCO classes such as people, vehicles, animals, household items.

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.

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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.

EasyOCR License

EasyOCR

is licensed under a

Apache-2.0

license.

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.

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Deploy a EasyOCR API

You can use Roboflow Inference to deploy a

EasyOCR

API on your hardware. You can deploy the model on CPU (i.e. Raspberry Pi, AI PCs) and GPU devices (i.e. NVIDIA Jetson, NVIDIA T4).

Below are instructions on how to deploy your own model API.

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.

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