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xberg

xberg is a polyglot document intelligence tool with a Rust core. It extracts text, metadata, images, tables, and structured data from 106 formats and 140 file extensions. It also offers code intelligence for 371 languages, with fifteen bindings, a CLI, REST API, and MCP server.

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xberg is a comprehensive document intelligence tool designed to handle a wide array of document formats and programming languages. Built with a Rust core, it efficiently extracts text, metadata, images, tables, and structured data from 106 different formats across 140 file extensions. This makes it an invaluable tool for developers and data analysts who need to process diverse document types.

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In addition to its document processing capabilities, xberg offers code intelligence for 371 programming languages. This feature is particularly beneficial for software developers who require insights into code structure and functionality across multiple languages. The tool supports fifteen different bindings, providing flexibility and ease of integration into various workflows.

xberg is accessible through multiple interfaces, including a command-line interface (CLI), a REST API, and an MCP server. This variety of access points ensures that users can integrate xberg into their existing systems with minimal disruption. Its robust architecture and extensive format support make it suitable for industries that handle large volumes of diverse documents, such as legal, finance, and technology.

While the tool's capabilities are extensive, users should be aware that its effectiveness depends on the specific formats and languages they work with. However, its broad support and flexible integration options make it a powerful addition to any document processing toolkit.

  • CategoryCoding & Development
  • Pricing ModelOpen source
  • DeploymentCloud, Self-hosted
  • PlatformsWeb

  • Extracts text from 106 formats

  • Processes metadata and images

  • Handles tables and structured data

  • Supports 140 file extensions

  • Code intelligence for 371 languages

  • Fifteen different bindings

  • Command-line interface (CLI)

  • REST API and MCP server

  1. Clone: Download the repository

  2. Install dependencies: Set up required libraries

  3. Configure: Adjust settings for your environment

  4. Execute: Run the tool to process documents

  5. Optimize: Fine-tune for specific formats

  • Document Processing
  • Code Analysis
  • Data Integration
  • Legal Document Management
  • Financial Data Extraction

xberg Reviews

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