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Docuglean

Extract Structured Data from PDFs/Images Using AI

Details

External ID
45998007
Source
HN
Company
—
Product
Docuglean
Website domain
github.com
Launched
Nov. 20, 2025
Cohort
—
Upvotes
5
Upvotes percentile
0.0982532751091703
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

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

Enrichment

Theme
document processing and generation tools
Vertical
Horizontal
Function
Content generation
Audience
B2B
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
extract structured data from documents
Manually corrected
False

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

No comments on this launch.

Competitors

Other products that read as similar to this one — 62 launches clear the similarity bar, closest 8 shown.

Attention rank: #61 of 63 (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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