HyperFrames vs text-extract-api

Side-by-side comparison of two AI agent tools

Short answer

  • text-extract-api has had no commit in 9 months; HyperFrames is actively maintained (2,927 commits in the last 90 days).
  • HyperFrames is growing faster: +14,430 GitHub stars in the last 30 days vs +17 for text-extract-api.
  • Pick HyperFrames for: write HTML. 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.

H
HyperFramesopen-source

Write HTML. Render video. Built for agents.

text-extract-apiopen-source

Local FastAPI for OCR extraction and PII removal from images, PDFs and Office files to Markdown or JSON

Metrics

HyperFramestext-extract-api
Stars55.6k3.2k
Star velocity /mo14.4k16.825396825396826
Commits (90d)2.9k0
Releases (6m)100
Overall score0.94671312959479880.2208723259857172

Pros

    • +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

      • -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

        • •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
        View HyperFrames DetailsView text-extract-api Details

        FAQ

        Which is more popular, HyperFrames or text-extract-api?
        HyperFrames has more GitHub stars (55,595 vs 3,183).
        Which is more actively developed, HyperFrames or text-extract-api?
        HyperFrames had more commits in the last 90 days (2,927 vs 0).
        Should I use HyperFrames or text-extract-api?
        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.