A small Microsoft utility that converts PDF, Word, PowerPoint, Excel and other files into Markdown that is easy to hand to a language model.
All repositories
RAG & vector DBsfirecrawl
firecrawl
Growing fastest
A service that turns any website into clean Markdown or structured data for models. It can search, scrape, crawl a whole site and even click through a page.
Who it is for
For people who feed agents and RAG pipelines with fresh web data.
How to start
- Get an API key at firecrawl.dev.
- Install the Python SDK:
pip install firecrawl-py. - Call
app.scrape("https://firecrawl.dev", formats=["markdown"])and inspect the result.
Steps are taken from the README. Check the current version in the repository before running them.
Stars over the last 30 days
+12,002Sep 7 — Oct 5
Author's description
Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥
More in «RAG & vector DBs»
A ready-made RAG engine with a UI: it parses documents with templates, chunks them, searches with citations and supports agentic retrieval. Deploys with Docker.
An open-source Python crawler: it visits pages with a real browser and returns clean Markdown for LLMs. Runs locally, in Docker or as a cloud service.
Parses complex PDFs, scans and Office files into Markdown or JSON while keeping tables and formulas. Comes with a CLI, a Python SDK and an agent skill.
An IBM library for document parsing: PDF, Office, HTML and images become one unified structure from which Markdown is easy to get. Supports vision models for hard pages.
A ready-made «chat with your documents» app: plug in any model and vector database, upload files and talk to them. Has a desktop version, Docker and agents.