Xberg

Xberg is the next iteration of Kreuzberg. Same document-intelligence engine, rebuilt and rebranded under a fresh v1 line.

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What you get

Point Xberg at anything — a PDF, a spreadsheet, a scanned image, an audio file, a URL, an archive, a source tree — and get back clean, structured content you can use right away. One core does the format detection, reading, and extraction, so you don’t assemble a pipeline yourself. Call it from Rust, Python, Node.js, Go, Java, C#, Ruby, PHP, Elixir, Dart, Swift, Zig, WASM, Kotlin, or C FFI, and run it as a library, CLI tool, REST API, or MCP server.

Capabilities marked requires a feature are Cargo feature flags on the core crate (url-ingestion, transcription, reranker, layout/ORT). Prebuilt language packages and the Docker image bundle the common set; a from-source build enables only what you select.

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Installation

Language Packages

CLI & Deployment

AI Coding Assistants

Install the Xberg plugin from xberg-io/xberg. Ships extraction APIs, OCR backends, configuration, and language conventions.

The bundle targets Claude Code, Codex, Cursor, Gemini CLI, Kimi, OpenCode, Factory Droid, Hermes, Pi, Agent Plugins and GitHub Copilot CLI. Read the plugin guide for runtime resources, CLI prerequisites and configuration. MCP-capable adapters expose the product’s tools; Hermes uses a local stdio bridge and explicitly selected skills. Pi loads skills and prompt templates and requires the product CLI for executable operations.

Install only the public Agent Skills, without a plugin or MCP registration, using the skills CLI:

npx skills add xberg-io/xberg --list
npx skills add xberg-io/xberg

Choose the skills and target agents interactively. Installing instructions does not install the product CLI or configure provider credentials.

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Quick Start

Extract text from a document:

use xberg::{extract, ExtractInput, ExtractionConfig};

#[tokio::main]
async fn main() -> xberg::Result {
    let config = ExtractionConfig::default();
    let output = extract(
        ExtractInput::from_uri("document.pdf"),
        &config
    ).await?;

    println!("{}", output.results[0].content);
    Ok(())
}

Common use cases — see Quick start guide for language-specific examples, OCR, batch processing, and API configuration.

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Capabilities

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CLI Reference

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Documentation

Full guides, API references for every binding, format reference, and configuration docs live at xberg.io.

• Getting Started
• Quick Start
• Guides
• API Reference (Rust core) — every binding has its own page under /reference/
• Format Reference
• Live Demo (browser, WASM)

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Built with Xberg

Projects that declare Xberg as a dependency. Xberg was previously published as kreuzberg, and most of these projects declare the package under that name.

Using Xberg in your project? Open a PR adding it to this list.

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Contributing

Contributions are welcome! See CONTRIBUTING.md for guidelines.

Join our Discord community for questions and discussion.

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Part of Xberg.io

• Xberg — the open-source content-intelligence engine: text, tables, and metadata from 107 formats (141 file extensions), with OCR, transcription, and code intelligence. MIT.
• Xberg Pro — a complete self-hosted content-intelligence backend in a single container. Commercial.
• Xberg Enterprise — the distributed, governed content-intelligence platform, scaled on Kubernetes with team governance and support. Commercial.
• crawlberg — web crawling and scraping with HTML→Markdown and headless-Chrome fallback.
• html-to-markdown — fast, lossless HTML→Markdown engine.
• liter-llm — universal LLM API client with native bindings for 14 languages and 165 providers.
• tree-sitter-language-pack — tree-sitter grammars and code-intelligence primitives.
• alef — the polyglot binding generator that produces every per-language binding across the 5 polyglot repos.

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License

MIT License (MIT) — see LICENSE for details.