{"repo":"QuivrHQ/MegaParse","free":true,"listed":false,"github":"https://github.com/QuivrHQ/MegaParse","clone":"git clone https://github.com/QuivrHQ/MegaParse.git","description":"File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.","language":"Python","stars":7413,"topics":["docx","llm","parser","pdf","powerpoint"],"license":"Apache-2.0","category":"ai-agents","readme_excerpt":"MegaParse - Your Parser for every type of documents MegaParse is a powerful and versatile parser that can handle various types of documents with ease. Whether you're dealing with text, PDFs, Powerpoint presentations, Word documents MegaParse has got you covered. Focus on having no information loss during parsing. Key Features 🎯 - Versatile Parser : MegaParse is a powerful and versatile parser that can handle various types of documents with ease. - No Information Loss : Focus on having no information loss during parsing. - Fast and Efficient : Designed with speed and efficiency at its core. - Wide File Compatibility : Supports Text, PDF, Powerpoint presentations, Excel, CSV, Word documents. - Open Source : Freedom is beautiful, and so is MegaParse. Open source and free to use. Support - Files: ✅ PDF ✅ Powerpoint ✅ Word - Content: ✅ Tables ✅ TOC ✅ Headers ✅ Footers ✅ Images Example https://github.com/QuivrHQ/MegaParse/assets/19614572/1b4cdb73-8dc2-44ef-b8b4-a7509bc8d4f3 Installation required python version = 3.11 Usage 1. Add your OpenAI or Anthropic API key to the .env file 2. Install poppler on your computer (images and PDFs) 3. Install tesseract on your computer (images and PDFs) 4. If you have a mac, you also need to install libmagic Use MegaParse as it is : Use MegaParse Vision Note : The model supported by MegaParse Vision are the multimodal ones such as claude 3.5, claude 4, gpt-4o and gpt-4. Use as an API There is a MakeFile for you, simply use : at the root of the pro","default_branch":null,"files":null,"tree":[],"storefront":"/r/QuivrHQ","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/QuivrHQ/MegaParse/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}