Kreuzberg
The fastest document intelligence framework for RAG developers
One API 56 file
formats
Extract structured knowledge from documents in milliseconds, built for modern AI pipelines. Reduce
operational complexity while maintaining consistent, high quality results.
How It Works?
Simple three-step flow to document intelligence:
1
Upload
Upload documents via our API or dedicated SDKs. Supports PDFs, images, DOCX, PPTX, and many other formats.
2
Process
Kreuzberg Cloud extracts text, tables, images, and semantic structure. Results are cached for re-processing without re-extraction cost.
3
Integrate
JSON response with full document structure. Webhook delivery for async workflows. Plug directly into your embeddings pipeline or RAG framework.
Why Kreuzberg?
Speed That Unblocks Your Team
Process documents in milliseconds instead of seconds! Your RAG pipeline moves at the speed of API calls, not extraction bottlenecks. Index millions of documents without waiting weeks for processing to complete.
Batch-Processing
Effectively process large number of documents in bulk. Kreuzberg is built for batch processing, and our cloud infrastructure is designed to scale.
Built for AI Teams
Kreuzberg is a full toolbox - text extraction, metadata extraction, NER, embedding and chunking, all in a CPU optimized binary
Polyglot and multiplafrom
Get native performance in the language of your choice. Kreuzberg is written in Rust and is shipped for eight other progamming languages. It support Linux, MacOS and Windows runtimes.
Read the full Technical Overview on GitHub
Join thousands of developers already building document
intelligence pipelines using Kreuzberg - in their language of choice!
Rust
Python
TypeScript
PHP
JavaScript
Ruby
Elixir
Go
C#
Rust
Python
TypeScript
PHP
JavaScript
Ruby
Elixir
Go
C#