Model Releases

LiteParse can now extract structured data from your PDF in milliseconds: ✅ checkbox states ✅ annotations ✅ vector graphics ✅ word-level boun…

LiteParse can now extract structured data from your PDF in milliseconds: ✅ checkbox states ✅ annotations ✅ vector graphics ✅ word-level bounding boxes It is the most comprehensive, accurate (and fast)

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LiteParse can now extract structured data from your PDF in milliseconds: ✅ checkbox states ✅ annotations ✅ vector graphics ✅ word-level bounding boxes It is the most comprehensive, accurate (and fast) free/open-source document processor out there. If you plug it into a coding agent to process digitalized PDFs, you will not only be able to give it the right context, but also give it grounding back to the source. For more complex docs that require VLM processing, you can always use the in-built router to route it to a VLM based solution, like LlamaParse. Come check it out: https://developers.llamaindex.ai/liteparse/guides/extraction/ LiteParse: https://github.com/run-llama/liteparse Complexity guide: https://developers.llamaindex.ai/liteparse/guides/complexity/ You shouldn't need a vision model to know your PDF has checkboxes. LiteParse can now pull structured data directly from your PDFs: form field values, checkbox states, annotations, embedded images, vector graphics, tagged document structure, and word-level bounding boxes, all runn…

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Source: Jerry Liu (X) | 2026-08-08

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