Awesome Ai For Science
Section: High-Performance Document Processing · SOTA multimodal document parsing with 1.2B parameters outperforming GPT-4o, converts PDFs to LLM-ready Markdown/JSON
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Appears in 5 awesome lists
High-accuracy document parsing for LLM and RAG workflows. Converts PDFs, Word, PPTs, and images into structured Markdown/JSON with VLM+OCR dual engine.
Section: High-Performance Document Processing · SOTA multimodal document parsing with 1.2B parameters outperforming GPT-4o, converts PDFs to LLM-ready Markdown/JSON
Section: Everything to Markdown to LLMs · A high-quality tool for convert PDF to Markdown and JSON
Section: 数据 Data · MinerU is a one-stop, open-source, high-quality data extraction tool, supports PDF/webpage/e-book extraction.
Section: 5. Retrieval-Augmented Generation (RAG) & Knowledge · High-accuracy document parsing for LLM and RAG workflows. Converts PDFs, Word, PPTs, and images into structured Markdown/JSON with VLM+OCR dual engine.
Section: Text Processing · Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
Python tool for converting files and office documents to Markdown. Supports PDF, PowerPoint, Word, Excel, images, audio, HTML, and more with OCR and transcription capabilities. MIT licensed.
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.
Document processing toolkit for turning PDFs and other files into structured data for GenAI workflows.
Toolkit for linearizing academic PDFs into LLM-ready text with high accuracy and structure preservation, optimized for scientific literature extraction
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
(label: good-first-issue) TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.