kreuzberg
Multilingual document intelligence framework that extracts text, metadata, and structured information from various file formats.
- Type
- MCP
- Transport
- http
- Open source
- Yes
- GitHub Stars
- ★ 8.5k
- Source
- mcp-github
- Repository
- github.com/xberg-io/kreuzberg
Overview
Kreuzberg is a multilingual document intelligence framework built on a Rust core. It can extract text, metadata, tables, and code intelligence from 96 file formats including PDFs, Office documents, and images. Supports native bindings for 16 programming languages and can run as a library, CLI, REST API, or MCP server. Ideal for modern AI and RAG pipelines requiring fast and reliable information extraction.
Capabilities
- ▪Extract text from 96 file formats
- ▪Extract metadata and structured information
- ▪Code intelligence for 306 programming languages
- ▪Built-in OCR and audio transcription capabilities
- ▪Supports streaming processing of large files
Use cases
Setup
Install via npm: `npm install @kreuzberg/node` or use the Docker image: `docker pull ghcr.io/xberg-io/kreuzberg`
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?
Supports 96 file formats, including PDFs, Office documents, images, and more.
Does Kreuzberg support OCR?
Yes, it includes built-in OCR engines such as Tesseract, PaddleOCR, and EasyOCR.
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