kreuzberg

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Extract text, tables, metadata, and images from 91+ document formats (PDF, Office, images, HTML, email, archives, academic) using Kreuzberg. Use when writing code that calls Kreuzberg APIs in Python, Node.js/TypeScript, Rust, or CLI. Covers installation, extraction (sync/async), configuration (OCR, chunking, output format), batch processing, error handling, and plugins.

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Updated 10/2/2026

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SKILL.md

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name

kreuzberg

description

Kreuzberg Document Extraction

Kreuzberg is a high-performance document intelligence library with a Rust core and native bindings for Python, Node.js/TypeScript, Ruby, Go, Java, C#, PHP, and Elixir. It extracts text, tables, metadata, and images from 91+ file formats including PDF, Office documents, images (with OCR), HTML, email, archives, and academic formats.

Use this skill when writing code that:

Extracts text or metadata from documents
Performs OCR on scanned documents or images
Batch-processes multiple files
Configures extraction options (output format, chunking, OCR, language detection)
Implements custom plugins (post-processors, validators, OCR backends)

Installation

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