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Xberg

Polyglot document intelligence with a Rust core: extract text, metadata, images, tables, and structured data from 106 formats across 140 file extensions, plus c

open-sourcetool-integration
9.4k
Stars
+780
Stars/month
3122
Commits (90d)
10
Releases (6m)

Star Growth

+2.3k (33.3%)estimated from velocity
6.9k8.2k9.5kJul 2Sep 30

Overview

Xberg extracts text, metadata, images, tables, and structured data from 106 formats across 140 file extensions. It includes code intelligence for 371 languages and offers 15 language bindings, CLI, REST API, and an MCP server.

Deep Analysis

Key Differentiator

Single engine handling format detection, reading, OCR, and extraction for 107 formats without requiring pipeline assembly.

⚡ Capabilities

  • • Extract text/metadata/images/tables from 107 formats
  • • OCR on demand with multiple backends
  • • Audio/video transcription
  • • Code intelligence for 371 languages
  • • Embeddings and search
  • • MCP server integration

🔗 Integrations

15 language bindings (Rust, Python, Node.js, Go, etc.)CLI toolREST APIMCP server

✓ Best For

  • ✓ Agent pipelines needing structured document extraction
  • ✓ RAG systems requiring clean text and table extraction
  • ✓ Multi-format data ingestion for AI agents

✗ Not Ideal For

  • ✗ End-user chatbot interfaces
  • ✗ Generic AI content generation
  • ✗ Image generation applications

⚠ Known Limitations

  • ⚠ Website text could not be fetched for full feature verification
  • ⚠ Some capabilities like URL ingestion require specific features

Alternatives

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