Dolphin vs PixelRAG
Side-by-side comparison of two AI agent tools
Dolphinfree
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
| Dolphin | PixelRAG | |
|---|---|---|
| Stars | 9.1k | 10.1k |
| Star velocity /mo | 28.71657754010695 | 843.25 |
| Commits (90d) | 0 | 47 |
| Releases (6m) | 0 | 4 |
| Overall score | 0.22703804673318012 | 0.6318786686011273 |
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.