MegaParse

Why we included this project

MegaParse targets a specific pain point: taking messy PDFs, Word documents, and slide decks and turning them into clean text an LLM can actually use, without dropping tables, headers, footers, or the overall page structure. Teams building retrieval pipelines who have watched naive text extraction mangle layouts will find it a better starting point. Besides a plain text path, it offers a vision mode that uses multimodal models to read documents more like a person would. The output is shaped for chunking and embedding, which makes it a natural fit for chat-over-your-files or search tools. It installs as a Python package and can also run as a small local API, so it slots into an existing pipeline without much ceremony.