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.
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
is licensed under a
Apache-2.0
license.
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.
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.