Dolphin vs text-extract-api
Side-by-side comparison of two AI agent tools
Short answer
- Dolphin is growing faster: +28 GitHub stars in the last 30 days vs +17 for text-extract-api.
- Pick Dolphin for: the official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025. Pick text-extract-api for: local FastAPI for OCR extraction and PII removal from images, PDFs and Office files to Markdown or JSON.
From GitHub data refreshed daily.
Dolphinfree
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
text-extract-apiopen-source
Local FastAPI for OCR extraction and PII removal from images, PDFs and Office files to Markdown or JSON
Metrics
| Dolphin | text-extract-api | |
|---|---|---|
| Stars | 9.1k | 3.2k |
| Star velocity /mo | 28.26315789473684 | 16.736842105263158 |
| Commits (90d) | 0 | 0 |
| Releases (6m) | 0 | 0 |
| Overall score | 0.2171012174176738 | 0.20484123380037875 |
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
- +完全本地化处理,无外部依赖,确保数据隐私和安全性
- +支持多种先进OCR策略(LLaMA Vision、EasyOCR等),识别精度极高
- +集成分布式队列和缓存机制,支持大规模文档批量处理
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
- -需要安装多个依赖组件(Docker、Ollama),初始设置较为复杂
- -本地运行PyTorch模型需要较大计算资源和存储空间
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
- •医疗机构将MRI报告、病历等医疗文档转换为结构化数据
- •企业财务部门处理发票、合同等文档并自动移除敏感信息
- •法律机构批量数字化和分析大量合规文档或法律条文
FAQ
- Which is more popular, Dolphin or text-extract-api?
- Dolphin has more GitHub stars (9,059 vs 3,183).
- Which is more actively developed, Dolphin or text-extract-api?
- Dolphin had more commits in the last 90 days (0 vs 0).
- Should I use Dolphin or text-extract-api?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.