Which is more popular, Docling or Dolphin?

Docling has more GitHub stars (68,329 vs 9,059).

Which is more actively developed, Docling or Dolphin?

Docling had more commits in the last 90 days (357 vs 0).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

Dolphin has had no commit in 6 months; Docling is actively maintained (357 commits in the last 90 days).
Docling is growing faster: +1,850 GitHub stars in the last 30 days vs +28 for Dolphin.
Pick Docling for: get your documents ready for gen AI. Pick Dolphin for: the official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.

From GitHub data refreshed daily.

Doclingopen-source

Get your documents ready for gen AI

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

+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

+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

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

-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

•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

•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

Which is more popular, Docling or Dolphin?: Docling has more GitHub stars (68,329 vs 9,059).
Which is more actively developed, Docling or Dolphin?: Docling had more commits in the last 90 days (357 vs 0).
Should I use Docling or Dolphin?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.