How to Use EasyOCR
Blog post from Roboflow
EasyOCR is a versatile Python package designed for extracting text from images, leveraging deep learning models such as ResNet, VGG, and LSTM, in conjunction with the CTC algorithm, to efficiently process and convert text from over 80 languages. The package is particularly useful for tasks across various industries, including retail, education, and manufacturing, due to its ability to automate processes like digitizing documents, reading barcodes, and inspecting product labels. EasyOCR is straightforward to install and use, requiring dependencies like PyTorch, and can be fine-tuned for specific needs, offering options to optimize performance, such as batch processing and language specification. It also supports output customization, allowing users to tailor the extraction results, and provides visualization capabilities through the Supervision package to annotate detected text on images. For optimal results, considerations like image quality and proper language selection are essential, and the package's flexibility with GPU acceleration ensures fast processing suitable for both developers and non-developers.