File Parser optimized for LLM Ingestion. Parse PDFs, DOCX, PPTX in a format that is ideal for LLMs. All of that accessible from a python package, an API, or a queue.
Hi everyone,
Today I’d like to introduce you to the new Quivr project. It a simple python package, API that helps you take in documents such as PDFs, Docx, PPTx, ... and turn them into Markown
It has several new abilities:
* OCR
* Vision Models
* Table Optimization in the extraction
* Open-source
You can use it in any of your products where you need to parse file to then send them to an LLM or simply store it
Here is how to get started:
* Go to https://github.com/QuivrHQ/MegaP...
* pip install megaparse
* Have fun
Give it a try! We’d love to hear your feedback and ideas in the comments.
This is part of Supabase mega Launch Week -> https://launchweek.dev/HOME
Congrats on the launch @stan_girard@amine_dirhoussi@chloe_daems
Super helpful. We are working on a product that needs something similar though we have already solved the PDF parsing problem.
Quick question - do you plan to add Excel / Spreadsheet as well? This would be super helpful.
Excited to give it a try!
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.
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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.
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Really nice! Open source, with OCR and table optimization, perfect for LLM workflows. Congrats to the team! 🙌
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Awesome ! How does it tackle tables in financial documents?
@michaelohana This is a hard piece to tackle, we are currently working hard on improving tables. We are exploring some techniques. For example we are looking at combining LLM Vision models with current OCR.
Passing the table to a dataframe. Would love to tell you more or help you with your use case. Ping me if need on twitter @_StanGirard
Quivr - Your Second Brain
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Quivr - Your Second Brain
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Quivr - Your Second Brain