Megaparse

Why we included this project

Anyone feeding documents into an LLM quickly learns that the parser decides how much of the original content survives. MegaParse is a Python library that converts PDFs, Word files, PowerPoint decks, and spreadsheets into clean text while preserving tables, headers, and footers that naive extraction tends to flatten. That matters for RAG pipelines, where a dropped table or page header quietly degrades the answers. A vision mode uses multimodal models like GPT-4o or Claude to read documents, which helps with complex layouts and scanned pages. Teams building knowledge bases, internal search, or document-heavy assistants can use it as a lighter alternative to commercial parsers, and it can also run as a small local API service.