Kreuzberg – Modern async Python library for document text extraction

In plain words

Kreuzberg is a Python library for extracting text from PDFs, images, and office files using modern async programming patterns. Built with async/await syntax and type hints, it operates without external API dependencies and handles both I/O-bound and CPU-bound tasks through optimized worker pools. The library targets Python developers building async applications who need efficient document processing integrated into their workflows.

written from the facts on this page · September 2026

From the sources

Polyglot document intelligence with a Rust core: extract text, metadata, images, tables, and structured data from 106 formats across 140 file extensions, plus code intelligence for 371 languages. Fifteen bindings, with CLI, REST API, and MCP server. - xberg-io/xberg

In the maker’s words, at launch

I'm excited to showcase Kreuzberg! Kreuzberg is a modern Python library built from the ground up with async/await, type hints, and optimized I/O handling. It provides a unified interface for extracting text from documents (PDFs, images, office files) without external API dependencies. Key technical…

• KV
  Kreuzberg v3.0 – Modern Python Document Extraction2025 · ▲5

  I'm excited to announce Kreuzberg v3.0, which was released yesterday. Kreuzberg is an MIT licensed Python library that extracts text from a wide range of documents (PDFs, images, office files etc.) without depending on external APIs dependencies. Its different from other libraries and commercial offerings in this space by being designed to be (1) lightweight, (2) CPU orientated, (3) simple to user and (4) have async support as a first class citizen. The v3.0 release completely reworks the architecture for extensibility. Kreuzberg now now supports: - Multiple OCR backends (Tesseract,…

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