Dolphin vs PixelRAG

Side-by-side comparison of two AI agent tools

The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.

P
PixelRAGopen-source

https://arxiv.org/abs/2606.28344. The end of web parsing. The beginning of scalable pixel-native search. link: https://pixelrag.ai/

Metrics

DolphinPixelRAG
Stars9.1k10.1k
Star velocity /mo28.71657754010695843.25
Commits (90d)047
Releases (6m)04
Overall score0.227038046733180120.6318786686011273

Pros

  • +Universal document parsing capability that handles both digital and photographed documents seamlessly
  • +Advanced two-stage architecture with document-type-aware parsing strategies optimized for different document formats
  • +Comprehensive 21-element detection including complex elements like formulas, code blocks, and tables with attribute field extraction

    Cons

    • -Research-focused tool that may require significant technical expertise to implement and integrate
    • -Relatively new release with limited production use cases and community feedback
    • -Large model size (3B parameters) may require substantial computational resources for deployment

      Use Cases

      • •Academic research document digitization and content extraction from PDFs and scanned papers
      • •Enterprise document processing for complex reports, invoices, and forms with mixed content types
      • •Automated parsing of technical documentation containing code snippets, mathematical formulas, and diagrams

        FAQ

        Which is more popular, Dolphin or PixelRAG?
        PixelRAG has more GitHub stars (10,119 vs 9,059).
        Which is more actively developed, Dolphin or PixelRAG?
        PixelRAG had more commits in the last 90 days (47 vs 0).
        Should I use Dolphin or PixelRAG?
        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.