yigitkonur/api-llm-ocr

• highreadme#1

  Reposition README opening to clarify vision LLM and API nature

  原因：

  当前

  LLM-powered PDF to markdown. uses vision models to actually read your documents — tables, headers, mixed layouts — and outputs clean, structured markdown. not traditional OCR.

  复制粘贴的修复

  复制

  An **API for vision LLM-powered PDF to markdown conversion**. This service uses advanced vision models to *directly read* your documents—preserving tables, headers, and complex layouts—and outputs clean, structured markdown. **This is not traditional OCR combined with an LLM; it leverages vision models end-to-end.**

  待办完成忽略
• mediumreadme#2

  Clarify the project's license in the README

  原因：

  复制粘贴的修复

  复制

  ## License
  This project is licensed under the terms specified in the `LICENSE` file. Please refer to that file for full details on usage and distribution.

  待办完成忽略
• lowhomepage#3

  Add a homepage URL to the repository

  原因：

  复制粘贴的修复

  复制

  https://github.com/yigitkonur/api-llm-ocr

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  Need a tool to convert complex PDF documents into structured markdown, preserving tables and layouts.

  你：未被推荐
  AI 推荐顺序：

  1. Adobe Acrobat Pro DC
  2. Pandoc (jgm/pandoc)
  3. pdftotext
  4. pdf2htmlEX (coolwanglu/pdf2htmlEX)
  5. LayoutParser (Layout-Parser/layout-parser)
  6. Tesseract (tesseract-ocr/tesseract)
  7. PDFTables.com
  8. Tabula (tabulapdf/tabula)
  9. Aspose.PDF for .NET / Java
  10. Docparser

  AI 推荐了 10 个替代方案，却始终没点名 yigitkonur/api-llm-ocr。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  Looking for an AI-powered API that extracts structured data from PDFs, understanding context beyond OCR.

  你：未被推荐
  AI 推荐顺序：

  1. Rossum Aurora
  2. Google Cloud Document AI
  3. Amazon Textract
  4. Microsoft Azure Form Recognizer
  5. Hyperscience
  6. Nanonets

  AI 推荐了 6 个替代方案，却始终没点名 yigitkonur/api-llm-ocr。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of yigitkonur/api-llm-ocr?

  pass
  ✓AI 明确点名了 yigitkonur/api-llm-ocr

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts yigitkonur/api-llm-ocr in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 yigitkonur/api-llm-ocr

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo yigitkonur/api-llm-ocr solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 yigitkonur/api-llm-ocr

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？