Kreuzberg

Extract text and metadata from a wide range of file formats (75+), generate embeddings and post-process at native speeds without needing a GPU.

• Extensible architecture – Plugin system for custom OCR backends, validators, post-processors, and document extractors
• Polyglot – Native bindings for Rust, Python, TypeScript/Node.js, Ruby, Go, Java, C#, PHP, Elixir, R, and C
• 75+ file formats – PDF, Office documents, images, HTML, XML, emails, archives, academic formats across 8 categories
• OCR support – Tesseract (all bindings, including Tesseract-WASM for browsers), PaddleOCR (all native bindings), EasyOCR (Python), extensible via plugin API
• High performance – Rust core with native PDFium, SIMD optimizations and full parallelism
• Flexible deployment – Use as library, CLI tool, REST API server, or MCP server
• Memory efficient – Streaming parsers for multi-GB files

Complete Documentation | Installation Guides

Each language binding provides comprehensive documentation with examples and best practices. Choose your platform to get started:

Scripting Languages:

• Python – PyPI package, async/sync APIs, OCR backends (Tesseract, PaddleOCR, EasyOCR)
• Ruby – RubyGems package, idiomatic Ruby API, native bindings
• PHP – Composer package, modern PHP 8.4+ support, type-safe API, async extraction
• Elixir – Hex package, OTP integration, concurrent processing
• R – r-universe package, idiomatic R API, extendr bindings

JavaScript/TypeScript:

• @kreuzberg/node – Native NAPI-RS bindings for Node.js/Bun, fastest performance
• @kreuzberg/wasm – WebAssembly for browsers/Deno/Cloudflare Workers, full feature parity (PDF, Excel, OCR, archives)

Compiled Languages:

• Go – Go module with FFI bindings, context-aware async
• Java – Maven Central, Foreign Function & Memory API
• C# – NuGet package, .NET 6.0+, full async/await support

Native:

• Rust – Core library, flexible feature flags, zero-copy APIs
• C (FFI) – C header + shared library, pkg-config/CMake support, cross-platform

Containers:

• Docker – Official images with API, CLI, and MCP server modes (Core: ~1.0-1.3GB, Full: ~1.0-1.3GB with OCR + legacy format support)

Command-Line:

• CLI – Cross-platform binary, batch processing, MCP server mode

All language bindings include precompiled binaries for both x86_64 and aarch64 architectures on Linux and macOS.

Complete architecture coverage across all language bindings:

Note: ✅ = Precompiled binaries available with instant installation. WASM runs in any environment with WebAssembly support (browsers, Deno, Bun, Cloudflare Workers). All platforms are tested in CI. macOS support is Apple Silicon only.

To use embeddings functionality:

1. Install ONNX Runtime 1.24+:

   • Linux: Download from ONNX Runtime releases (Debian packages may have older versions)
   • macOS: brew install onnxruntime
   • Windows: Download from ONNX Runtime releases

2. Use embeddings in your code - see Embeddings Guide

Note: Kreuzberg requires ONNX Runtime version 1.24+ for embeddings. All other Kreuzberg features work without ONNX Runtime.

75+ file formats across 8 major categories with intelligent format detection and comprehensive metadata extraction.

Complete Format Reference →

Multiple OCR backends (Tesseract, EasyOCR, PaddleOCR) with intelligent table detection and reconstruction. Extract structured data from scanned documents and images with configurable accuracy thresholds.

OCR Backend Documentation →

Process multiple documents concurrently with configurable parallelism. Optimize throughput for large-scale document processing workloads with automatic resource management.

Batch Processing Guide →

Handle encrypted PDFs with single or multiple password attempts. Supports both RC4 and AES encryption with automatic fallback strategies.

PDF Configuration →

Automatic language detection in extracted text using fast-langdetect. Configure confidence thresholds and access per-language statistics.

Language Detection Guide →

Extract comprehensive metadata from all supported formats: authors, titles, creation dates, page counts, EXIF data, and format-specific properties.

Metadata Guide →

Kreuzberg ships with an Agent Skill that teaches AI coding assistants how to use the library correctly. It works with Claude Code, Codex, Gemini CLI, Cursor, VS Code, Amp, Goose, Roo Code, and any tool supporting the Agent Skills standard.

Install the skill into any project using the Vercel Skills CLI:

npx skills add kreuzberg-dev/kreuzberg

The skill is located at skills/kreuzberg/SKILL.md and is automatically discovered by supported AI coding tools once installed.

• Installation Guide – Setup and dependencies
• User Guide – Comprehensive usage guide
• API Reference – Complete API documentation
• Format Support – Supported file formats
• OCR Backends – OCR engine setup
• CLI Guide – Command-line usage
• Migration Guide – Upgrading from v3

Contributions are welcome! See CONTRIBUTING.md for guidelines.

MIT License - see LICENSE for details. You can use Kreuzberg freely in both commercial and closed-source products with no obligations, no viral effects, and no licensing restrictions.