kreuzberg
Multilingual document intelligence framework that extracts text, metadata, and more from over 97 formats.
- Type
- MCP
- Transport
- http
- Open source
- Yes
- GitHub Stars
- ★ 8.5k
- Source
- mcp-github
- Repository
- github.com/kreuzberg-dev/kreuzberg
Overview
Kreuzberg is a multilingual document intelligence framework built on a Rust core, capable of extracting text, metadata, images, and structured information from 97+ formats including PDFs, Office documents, and images. It supports bindings for multiple programming languages such as Rust, Python, and Node.js, and can be used via CLI, REST API, or MCP server. Ideal for AI and RAG pipelines requiring fast and reliable document content extraction.
Capabilities
- ▪Extract text from 97+ formats
- ▪Extract metadata and images
- ▪Support for 306 programming languages
- ▪Built-in OCR and audio transcription
- ▪SIMD-accelerated parsing
- ▪Streaming processing of large files
Use cases
Setup
Install via npm: `npm install @kreuzberg/node` or use the package manager corresponding to your language.
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
What file formats does Kreuzberg support?
PDF, Office documents, images, and over 97 other formats.
Does Kreuzberg support OCR?
Yes, it includes built-in OCR engines such as Tesseract and PaddleOCR.
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