text-extract-api vs Xberg

Side-by-side comparison of two AI agent tools

Short answer

  • text-extract-api has had no commit in 9 months; Xberg is actively maintained (3,135 commits in the last 90 days).
  • Xberg is growing faster: +70 GitHub stars in the last 30 days vs +17 for text-extract-api.
  • Pick text-extract-api for: local FastAPI for OCR extraction and PII removal from images, PDFs and Office files to Markdown or JSON. Pick Xberg for: rust document intelligence engine for extracting text, tables, metadata, images, and structured data.

From GitHub data refreshed daily.

text-extract-apiopen-source

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

X
Xbergopen-source

Rust document intelligence engine for extracting text, tables, metadata, images, and structured data

Metrics

text-extract-apiXberg
Stars3.2k9.4k
Star velocity /mo16.73684210526315870
Commits (90d)03.1k
Releases (6m)010
Overall score0.204841233800378750.7516460591246579

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 text-extract-api DetailsView Xberg Details

        FAQ

        Which is more popular, text-extract-api or Xberg?
        Xberg has more GitHub stars (9,366 vs 3,183).
        Which is more actively developed, text-extract-api or Xberg?
        Xberg had more commits in the last 90 days (3,135 vs 0).
        Should I use text-extract-api or Xberg?
        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.