datalab-to/surya-ocr-2-gguf contains GGUF versions of the Surya OCR models. These enable efficient local inference for optical character recognition and layout detection. The models are designed for use with CLI tools and local inference engines.
Surya Ocr 2 sits in PulseGate's Foundation models & chat category. It focuses on running fast, local optical character recognition and layout analysis on documents using quantized models. It is built as an open-source project for developers. Surya Ocr 2 is open source under the Apache-2.0 license. Surya Ocr 2 is available on the command line.
Datalab builds and maintains Surya Ocr 2, and it first shipped in 2025. The project is developed in the open on GitHub with 11.7k stars and 6 commits in the last 90 days. Key capabilities include OCR, Document Layout Analysis, and GGUF Format.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do