File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
Extract text from various document types without losing any information, optimized for AI processing.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeFile Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
MegaParse has 7.4k stars on GitHub. It has been forked 417 times. MegaParse is written mainly in Python. It has been in active development since 2024. MegaParse is available under the Apache-2.0 license. Its main topics are docx, llm, parser, pdf.
File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.
MegaParse is an open-source project. It is released under the Apache-2.0 license.
Yes. MegaParse is free and open source — you can use, modify and self-host it.
MegaParse is available under the Apache-2.0 license.
MegaParse is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/quivrhq-megaparse.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.