Which is more popular, Dolphin or MegaParse?

Dolphin has more GitHub stars (9,059 vs 7,413).

Which is more actively developed, Dolphin or MegaParse?

Dolphin had more commits in the last 90 days (0 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 is growing faster: +28 GitHub stars in the last 30 days vs +11 for MegaParse.
Pick Dolphin for: the official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025. Pick MegaParse for: file Parser optimised for LLM Ingestion with no loss Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.

From GitHub data refreshed daily.

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

MegaParseopen-source

File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.

+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

+Zero information loss during parsing with specific focus on preserving complex document elements like tables, headers, and images
+Superior performance with 0.87 similarity ratio in benchmarks, significantly outperforming competing parsers
+Dual parsing modes including MegaParse Vision that leverages advanced multimodal AI models for enhanced document understanding

-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

-Requires multiple external dependencies (poppler, tesseract, libmagic on Mac) which can complicate installation
-Needs OpenAI or Anthropic API keys for operation, adding ongoing costs for usage
-Minimum Python 3.11 requirement may limit compatibility with older environments

•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

•Preparing documents for RAG (Retrieval-Augmented Generation) systems where preserving all context and formatting is critical
•Converting complex academic or business documents with tables and images into LLM-ready format for analysis
•Building document processing pipelines that need to maintain fidelity across diverse file formats (PDF, Word, PowerPoint)

Which is more popular, Dolphin or MegaParse?: Dolphin has more GitHub stars (9,059 vs 7,413).
Which is more actively developed, Dolphin or MegaParse?: Dolphin had more commits in the last 90 days (0 vs 0).
Should I use Dolphin or MegaParse?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.