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.

A fast Rust-powered library that extracts text and data from 91+ file formats, PDFs, Office docs, images, emails, with bindings for Python, Node.js, Go, Java, and 10+ other languages, plus OCR and AI pipeline support.

High performance and CommonMark compliant HTML to Markdown converter. Maintained by the Kreuzberg team. Kreuzberg is a fast, polyglot document intelligence engine with a Rust core. It extracts structured data from 56+ document formats using streaming parsers and built-in OCR.

Comprehensive tree-sitter grammar compilation with polyglot bindings — Rust, Python, Node.js, Go, Java, Ruby, Elixir, PHP, C#, WASM, Dart, Kotlin-Android, Swift, Zig, and CLI. 306+ languages.

Universal LLM API client — 142+ providers, 11 native language bindings, powered by Rust core

High-performance web crawling engine with bindings for 11 languages

Generate fully-typed, lint-clean language bindings for Rust libraries across 16 languages

Cloud-native document extraction platform — SaaS at kreuzberg.dev or self-host on any Kubernetes cluster. 90+ formats, REST API, webhooks. Built on Kreuzberg.

Extract, chunk, and embed documents from 88+ formats directly into SurrealDB.

No description.

Langchain document loader for Kreuzberg

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Curated document-intelligence plugins for coding agents — kreuzberg, kreuzcrawl, kreuzberg-cloud.

Kreuzberg is a fast, polyglot document intelligence engine with a Rust core. It extracts structured data from 97+ document formats using streaming parsers and built-in OCR. Designed for RAG pipelines, batch workloads, and production deployments.

Kreuzberg integration for txtai — drop-in Textractor replacement and custom pipeline

Official client SDKs (Python, TypeScript, Go) for the Kreuzberg Cloud document-processing API.

No description.

LlamaIndex reader and node parser integrations for kreuzberg — 88+ format document extraction with element-aware splitting

Spring AI DocumentReader integration for Kreuzberg document extraction engine

R-universe repository for Kreuzberg.dev

Extract text and metadata from 88+ document formats — PDF, DOCX, XLSX, HTML, images with OCR, and more — directly from your CrewAI agents.

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Shared GitHub actions

Various test documents used in Kreuzberg libraries for testing and benchmarking purposes

A Lightweight Framework for Building ONNX Runtime Pipelines with ort

Inference engine for GLiNER models, in Rust

⚡ A fast Git hook manager written in Rust, designed as a drop-in alternative to pre-commit, reimagined.