[LW24] Megaparse

Awesome tool with Megaparse! 📄✨ The ability to seamlessly parse PDFs, DOCX, and PPTX for LLM ingestion is a game-changer for data extraction. I'm curious—how does Megaparse handle complex document layouts or non-standard formats? For example, if a document has lots of embedded images or custom fonts, does it still maintain accuracy in parsing? Also, what kind of customization options do you offer for different document types or use cases?

There's such a huge need for this. It seems like every other week I meet someone asks me about how to get structured data from a PDF with LLMs.

Megaparse is a really interesting tool for LLM data ingestion! 🔥 How does it handle parsing complex document structures, like multi-column layouts or mixed content (text, images, tables)? Does the OCR integration maintain accuracy across different fonts and handwriting? Also, how does the API handle large-scale batch processing—are there any optimizations for speed and efficiency with extensive datasets?

Megaparse sounds super useful for prepping docs for LLMs! Love the flexibility with Python, API, or queue. Does it handle complex layouts or metadata well?

Love it. Markdown is becoming the de-facto in AI input processing, and proper conversion to it (without having to install a million packages) will be paramount.

Really nice! Open source, with OCR and table optimization, perfect for LLM workflows. Congrats to the team! 🙌