MegaParse
File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
MegaParse is a Python library that converts PDFs, Word documents, and PowerPoint files into clean, AI-ready text while preserving tables, headers, footers, and embedded images, with an optional vision mode that uses multimodal AI to visually interpret pages.
MegaParse is a Python library that converts documents into text in a format suited for use with AI language models. The focus is on preserving as much information as possible during conversion, so that when the resulting text is fed to an AI, nothing important has been dropped or garbled.
It handles PDF files, Word documents (Docx), and PowerPoint presentations. Beyond basic text extraction, it also captures tables, tables of contents, headers, footers, and images embedded in those files. The library is installable via pip and requires Python 3.11 or newer.
There are two main ways to use it. The standard parser works with a library called LangChain and connects to an OpenAI or Anthropic API key. A second mode called MegaParse Vision uses multimodal AI models (such as GPT-4o or Claude 3.5 and later) to visually interpret pages rather than parsing the document structure directly. The vision approach scored higher on the project's own benchmark, achieving a similarity ratio of 0.87 compared to 0.77 for the next-best alternative tested.
It can also run as a local API server. Running one make command at the project root starts a server, and the endpoints are documented at localhost:8000/docs. This lets other tools send documents to MegaParse over HTTP instead of importing it as a Python library directly.
The project is open source. The README lists a few features still in progress, including modular post-processing and structured output support.
Where it fits
- Convert a PDF with complex tables and embedded images into clean text before passing it to an AI language model.
- Process Word or PowerPoint files into AI-ready text in bulk using MegaParse's Python API.
- Run MegaParse as a local API server so other tools can send documents over HTTP for conversion without importing the library.
- Use MegaParse Vision with GPT-4o or Claude 3.5 to visually interpret pages from complex or visually dense documents.