Polyglot document intelligence with a Rust core — extract text, tables, and metadata from 97+ formats, with native bindings for every major language.

Ecosystem

• Xberg — document intelligence: text, tables, metadata from 97+ formats with optional OCR.
• Xberg Enterprise — managed extraction API with SDKs, dashboards, and observability.
• 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 143 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 ecosystem.

Why Xberg

• Truly polyglot — one Rust engine, identical results across every language binding.
• High throughput — optimized for batch workloads and multi-GB documents.
• Memory efficient — streaming architecture keeps memory usage predictable.
• Flexible deployment — CLI, REST API, Docker, and MCP server.
• MIT licensed — safe for enterprise, commercial, and closed-source use.
• Built for RAG — native chunking, embeddings, and extensibility.

Community

• Discord: https://discord.gg/xzx4KkAPED
• Reddit: https://www.reddit.com/r/kreuzberg_dev/
• LinkedIn: https://www.linkedin.com/company/kreuzberg-dev/
• X/Twitter: https://x.com/kreuzberg_dev
• Contact: contact@xberg.io

Built with care in Kreuzberg, Berlin.