Kreuzberg

About Kreuzberg

A polyglot document intelligence library with a Rust core and bindings for Python, TypeScript, Go, and more. Kreuzberg extracts text and structured data from documents like PDFs, images, and office files for data ingestion pipelines.

Key Features

• 1Python library for extracting text from PDFs, images, Office documents, and HTML
• 2Async-first API for non-blocking document processing in Python services
• 3Uses Tesseract OCR for image-based text extraction
• 4Returns structured text with metadata about the source document
• 5Minimal configuration — sensible defaults for common document types

How Python Data Engineers Use Kreuzberg

Python data engineers use Kreuzberg to build document ingestion pipelines that extract text from uploaded PDFs, scanned images, and Office files. The async API integrates cleanly into FastAPI-based document processing services — an endpoint accepts a file upload, Kreuzberg extracts the text asynchronously, and the pipeline stores the result in a search index or warehouse for downstream analysis.