Dolphin vs text-extract-api
Side-by-side comparison of two AI agent tools
Dolphinfree
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
text-extract-apiopen-source
Document (PDF, Word, PPTX ...) extraction and parse API using state of the art modern OCRs + Ollama supported models. Anonymize documents. Remove PII. Convert any document or picture to structured JSO
Metrics
| Dolphin | text-extract-api | |
|---|---|---|
| Stars | 9.1k | 3.2k |
| Star velocity /mo | 28.71657754010695 | 16.844919786096256 |
| Commits (90d) | 0 | 0 |
| Releases (6m) | 0 | 0 |
| Overall score | 0.31913455879016117 | 0.3008160623563546 |
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