Tonic's GOT OCR is a Hugging Face Space that lets users upload images and extract text using the GOT model. It supports multiple output modes including plain text, formatted HTML, and targeted extraction by bounding box or color. The interactive demo allows testing different extraction strategies on various image types. It is designed for developers and researchers working with document understanding and optical character recognition.
Tonic's GOT OCR sits in PulseGate's AI & ML category. It focuses on converting text in images into structured, selectable, or formatted digital text. Tonic's GOT OCR is an open-source project aimed at developers and researchers. Tonic's GOT OCR is free to use. It runs on the web, the command line, and embeddable surfaces.
Tonic builds and maintains Tonic's GOT OCR, and the product first shipped in 2024. Among its 4 catalogued features are Image Upload, Plain Text Extraction, and HTML Output.
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Tonic/GOT-OCR verified by the PulseGate indexer
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