★ 8402 Rust NOASSERTION sse 更新 49分钟前

Kreuzberg

A polyglot document intelligence framework with a Rust core. Extract text, metadata, images, and structured information from PDFs, Office documents, images, and 97+ formats. Available for Rust, Python, Ruby, Java, Go, PHP, Elixir, C#, R, C, TypeScript (Node/Bun/Wasm/Deno)- or use via CLI, REST API, or MCP server.

安装配置

npx skills add kreuzberg-dev/kreuzberg

README 摘要

# Kreuzberg Extract text, metadata, and code intelligence from 90+ file formats and 300+ programming languages at native speeds without needing a GPU. ## Key Features - **Code intelligence** – Extract functions, classes, imports, symbols, and docstrings from [300+ 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 - **90+ 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 API - **High performance** – Rust core with pure-Rust PDF, SIMD optimizations and full parallelism - **Flexible deployment** – Use as library, CLI tool, REST API server, or MCP server - **TOON wire format** – Token-efficient serialization for LLM/RAG pipelines, ~30-50% fewer tokens than JSON - **GFM-quality output** – Comrak-based rendering with proper fenced code blocks, table nodes, bracket escaping, and cross-format parity (Markdown, HTML, Djot, Plain) - **HTML passthrough** – HTML-to-Markdown conversion uses html-to-markdown output directly, bypassing lossy intermediate round-trips - **Memory efficient** – Streaming parsers for multi-GB files **[Complete Documentation](https://kreuzberg.dev/)** | **[Live Demo](https://docs.kreuzberg.dev/demo.html)** | **[Installation Guides](#installation)** ## Installation Each language binding provides comprehensive documentation with examples and best practices. Choose your platform to get started: **Scripting Languages:** - **[Python](https://github.com/kreuzberg-dev/kreuzberg/tree/main/packages/python)** – PyPI package, async/sync APIs, OCR backends (Tesseract, PaddleOCR, EasyOCR) - **[Ruby](https://github.com/kreuzberg-dev/kreuzberg/tree/main/packages/ruby)** – RubyGems package, idiomatic Ruby API, native bindings - **[PHP](https://github.com/kreuzberg-dev/kreuzberg/tree/main/packages/php)** – Composer package, modern PHP 8.2+ support, type-safe API, async extraction - **[Elixir](https://github.com/kreuzberg-dev/kreuzberg/tree/main/packages/elixir)** – Hex package, OTP integration, concurrent processing - **[R](https://github.com/kreuzberg-dev/kreuzberg/tree/main/packages/r)** – r-universe package, idiomatic R API, extendr bindings - **[Dart / Flutter](https://github.com/kreuzberg-dev/kreuzberg/tree/main/packages/dart)** – pub.dev package, flutter_rust_bridge runtime, native binding...

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