{"repo":"iw4p/url-to-markdown","free":true,"listed":false,"github":"https://github.com/iw4p/url-to-markdown","clone":"git clone https://github.com/iw4p/url-to-markdown.git","description":"URL to Markdown API is a service that convert web content into clean, structured Markdown format through a simple HTTP GET request. It's built using FastAPI and the MarkItDown library, offering a straightforward way to convert various content types (web pages, YouTube videos, PDFs, documents) into Markdown that's optimized for Large Language Mod","language":"Python","stars":50,"topics":["html-to-markdown","llm","markdown","pdf-to-markdown","vector","youtube-to-markdown","hacktoberfest"],"license":null,"category":"ai-agents","readme_excerpt":"URL to Markdown API Transform any web content into clean, LLM-ready Markdown with a single API call! This powerful FastAPI service seamlessly converts web pages, documents, and multimedia content into structured Markdown format, making it perfect for AI/ML pipelines, content aggregation, and data processing workflows. 🚀 Key Features - Universal Content Support : Convert web articles, YouTube videos, PDFs, Office documents, and more - LLM-Optimized Output : Clean, structured Markdown perfect for AI/ML processing - Rich Media Handling : Extract metadata from images, audio files, and videos - Smart Processing : OCR for images, transcription for audio, and intelligent content extraction - Simple Integration : RESTful API with clear error handling and response codes Features - Convert web pages to clean Markdown optimized for LLM processing - Support for various content types including: - Web articles and HTML content - YouTube videos - PDF documents - PowerPoint presentations - Word documents - Excel spreadsheets - Images (with EXIF metadata and OCR) - Audio files (with metadata and transcription) - Text-based formats (CSV, JSON, XML) - ZIP files (processes contents) - Automatic URL protocol handling - Clean error handling with appropriate HTTP status codes Why Markdown for LLMs? - Structured Format : Markdown provides a clean, hierarchical structure that LLMs can easily parse and understand - Consistent Representation : Different content types are normalized into a unified text","default_branch":null,"files":null,"tree":[],"storefront":"/r/iw4p","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/iw4p/url-to-markdown/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."}