Kreuzberg

# Kreuzberg

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Extract text, metadata, and code intelligence from 91+ file formats and 306 programming languages at native speeds without needing a GPU.

## Key Features

- **Code intelligence** – Extract functions, classes, imports, symbols, and docstrings from [306 programming languages](https://docs.tree-sitter-language-pack.kreuzberg.dev) via tree-sitter. Results in `ExtractionResult.code_intelligence` with semantic chunking
- **Extensible architecture** – Plugin system for custom OCR backends, validators, post-processors, document extractors, and renderers
- **Polyglot** – Native bindings for Rust, Python, TypeScript/Node.js, Ruby, Go, Java, Kotlin, C#, PHP, Elixir, R, Dart, Swift, Zig, and C
- **91+ file formats** – PDF, Office documents, images, HTML, XML, emails, archives, academic formats across 8 categories
- **LLM intelligence** – VLM OCR (GPT-4o, Claude, Gemini, Ollama), structured JSON extraction with schema constraints, and provider-hosted embeddings via 143 LLM providers (including local engines: Ollama, LM Studio, vLLM, llama.cpp) through [liter-llm](https://github.com/kreuzberg-dev/liter-llm)
- **OCR support** – Tesseract (all bindings, including Tesseract-WASM for browsers), PaddleOCR (all native bindings), EasyOCR (Python), VLM OCR (143 vision model providers including local engines), extensible via plugin 

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