vikp/surya_tablerec is a vision encoder-decoder model focused on table recognition (tablerec). It identifies tables within document images and extracts their structure and content. The model is part of the Surya document AI toolkit and is distributed on Hugging Face for use with the Transformers library.
In the Other AI space, Surya Tablerec takes a focused approach. Accurately extracting structured data from tables in scanned documents and images. It is built as an open-source project for developers. Surya Tablerec is open source under the Apache-2.0 license. The product ships for the web and API.
It is developed by vikp, and the product first shipped in 2024. Development happens publicly on GitHub with 21.1k stars and 47 commits in the last 90 days. Key capabilities include table detection, structure recognition, and document understanding.
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