AI Post

@glcst retweeted Last week we launched LiteParse - a free and fast document parser that provides more accurate AI-ready text than other free/fast parser libraries.It’s a great tool you can plug into assistant agents like Claude Code/OpenClaw and get good results, especially when paired with its screenshotting capabilities.But I do want to note that it doesn’t use any models under the hood (no VLMs/LLMs/even OCR models natively), and it’s not a replacement for VLM-based OCR solutions. It is fast because it is heuristic based!I attached a comparison table below.✅ It is really good at text extraction and even table extraction, specifically for LLM understanding. It will lay the text out in a manner that’s easy for humans/AI to understand.✅ It is great for assistant coding agents because the agent harness can use its text parsing to do a “fast” step, and then its screenshot capabilities to “dive deep” into a specific page🚫 It is not great over scanned pages/visuals/anything requiring OCR. We do have OOB integrations with EasyOCR and PaddleOCR🚫It doesn’t do layout detection and segmentation - it won’t draw bounding boxes over different elements on the page (though it does have word-level bounding boxes!)Tl;dr it’s great for plugging into an AI assistant tool. If you’re trying to OCR a bunch of docs in batch, check out LlamaParse :)LiteParse: https://t.co/JNER0mVcB8LlamaParse: https://t.co/TqP6OT5U5O Jerry Liu @jerryjliu0 Introducing LiteParse - the best model-free document parsing tool for AI agents 💫✅ It’s completely open-source and free.✅ No GPU required, will process ~500 pages in 2 seconds on commodity hardware✅ More accurate than PyPDF, PyMuPDF, Markdown. Also way more readable - see below for how we parse tables!!✅ Supports 50+ file formats, from PDFs to Office docs to images✅ 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.We 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.Take 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.This 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.Huge shoutout to @LoganMarkewich and @itsclelia for all the work here.Come check it out: https://t.co/qmpDwlkidZRepo: https://t.co/JNER0mVcB8 twitter.com/i... Posted Mar 19, 2026 at 4:19PM Posted Mar 28, 2026 at 1:09AM