Docling vs Xberg

Side-by-side comparison of two AI agent tools

Short answer

  • Docling is growing faster: +1,850 GitHub stars in the last 30 days vs +70 for Xberg.
  • Pick Docling for: get your documents ready for gen AI. Pick Xberg for: rust document intelligence engine for extracting text, tables, metadata, images, and structured data.

From GitHub data refreshed daily.

Doclingopen-source

Get your documents ready for gen AI

X
Xbergopen-source

Rust document intelligence engine for extracting text, tables, metadata, images, and structured data

Metrics

DoclingXberg
Stars68.3k9.4k
Star velocity /mo1.8k70
Commits (90d)3573.1k
Releases (6m)1010
Overall score0.84502613534776640.7516460591246579

Pros

  • +Advanced PDF understanding with layout analysis, table structure recognition, and reading order detection
  • +Supports wide variety of document formats including office documents, images, audio, and markup languages
  • +Unified DoclingDocument representation simplifies integration with AI workflows and downstream processing

    Cons

    • -Processing complex documents with advanced features may require significant computational resources

      Use Cases

      • •Converting research papers and technical documents into AI-ready formats for RAG applications
      • •Extracting structured data from business documents like invoices, contracts, and reports for automation
      • •Preparing diverse document collections for training or fine-tuning language models
        View Docling DetailsView Xberg Details

        FAQ

        Which is more popular, Docling or Xberg?
        Docling has more GitHub stars (68,329 vs 9,366).
        Which is more actively developed, Docling or Xberg?
        Xberg had more commits in the last 90 days (3,135 vs 357).
        Should I use Docling or Xberg?
        Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.