xberg
Multilingual document intelligence framework that extracts text, metadata, and structured information from various formats.
- Type
- MCP
- Transport
- http
- Open source
- Yes
- GitHub Stars
- ★ 8.6k
- Source
- mcp-github
- Repository
- github.com/xberg-io/xberg
Overview
Xberg is a document intelligence framework built on a Rust core, capable of extracting text, metadata, images, and structured information from over 97 file formats including PDFs, Office documents, and images. It offers native bindings for 16 programming languages and can run via CLI, REST API, or MCP server. Ideal for AI and RAG pipelines requiring fast and reliable document content extraction.
Capabilities
- ▪Extract text from 97+ file formats
- ▪Extract metadata and structured information
- ▪Support code intelligence for 306 programming languages
- ▪Built-in OCR and audio transcription capabilities
Use cases
Setup
Install via npm: `npm install @xberg/node` or use the Docker image: `docker pull ghcr.io/xberg-io/xberg`
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
What file formats does Xberg support?
Supports over 97 formats, including PDFs, Office documents, images, and more.
How do I use Xberg's OCR functionality?
Built-in OCR engines like Tesseract are available—simply call the relevant methods directly.
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