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Just added this free document parser to my OpenClaw Agent team. One line. That's it. LiteParse plugs right into any AI agent. 86 pages in 3.3 seconds on my Macmini. No GPU and no API key needed. 100% free, local and Opensource. https://t.co/EU5LCpiq3k
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"text": "Just added this free document parser to my OpenClaw Agent team.\n\nOne line. That's it. LiteParse plugs right into any AI agent.\n\n86 pages in 3.3 seconds on my Macmini. No GPU and no API key needed. \n\n100% free, local and Opensource. https://t.co/EU5LCpiq3k",
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"text": "Introducing LiteParse - the best model-free document parsing tool for AI agents 💫\n\n✅ It’s completely open-source and free.\n✅ No GPU required, will process ~500 pages in 2 seconds on commodity hardware\n✅ More accurate than PyPDF, PyMuPDF, Markdown. Also way more readable - see below for how we parse tables!!\n✅ Supports 50+ file formats, from PDFs to Office docs to images\n✅ Is designed to plug and play with Claude Code, OpenClaw, and any other AI agent with a one-line skills install. Supports native screenshotting capabilities.\n\nWe spent years building up LlamaParse by orchestrating state-of-the-art VLMs over the most complex documents. Along the way we realized that you could get quite far on most docs through fast and cheap text parsing.\n\nTake a look at the video below. For really complex tables within PDFs, we output them in a spatial grid that’s both AI and human-interpretable. Any other free/light parser light PyPDF will destroy the representation of this table and output a sequential list.\n\nThis is not a replacement for a VLM-based OCR tool (it requires 0 GPUs and doesn’t use models), but it is shocking how good it is to parse most documents.\n\nHuge shoutout to @LoganMarkewich and @itsclelia for all the work here.\n\nCome check it out: https://t.co/qmpDwlkidZ\nRepo: https://t.co/JNER0mVcB8",
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