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Docuglean

Extract Structured Data from PDFs/Images Using AI

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Hi HN! I built Docuglean, an open-source SDK for intelligent document processing that works with OpenAI, Mistral, Google Gemini, and Hugging Face models.The idea came from repeatedly writing boilerplate code to extract structured data from invoices, receipts, and other documents. Instead of wrestling with different API formats, I wanted a unified interface that:- Extracts structured data using Zod/Pydantic schemas - Classifies and splits multi-section documents (e.g., medical records) - Processes documents in batches with automatic error handling - Works locally without APIs (for PDFs, DOCX, XLSX, etc.)Key features: - Available for both TypeScript and Python - Batch processing with concurrent requests - Document classification (splits 100+ page docs by category) - Local parsers (no API needed for basic extraction) - Apache 2.0 licensedCurrently supports OpenAI, Mistral, Gemini, and Hugging Face. Planning to add Together AI, Anthropic, and more.Would love feedback on the API design and what features would be most useful

HN · launched Nov 20, 2025 · 5 upvotes (top 90%) · 0 views

Niche: ai document processing software · 114 launches, 11 in the last 7 days ▲ +10% · Explore this niche →

Category and tags

  • Horizontal
  • Workflow automation
  • B2B
  • AI-native
  • Commercial product

Visit website ↗ Source listing ↗

Could you build this?

Yes The tool is an open-source SDK wrapper that extracts text or images from documents and sends structured schema prompts to multimodal LLM APIs (OpenAI, Gemini, etc.).

Discussion

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Competitors

Other products that read as similar to this one : 168 launches clear the similarity bar, closest 8 shown.

Attention rank: #163 of 169 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 20 days after the earliest competitor.

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