AI-powered data extraction tool. Extract structured data from PDF, Word, Excel, images and JSON. No technical skills, no extraction limits. Free trial.
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Maker
π
Hi! Today I'm launching Extraction.app on Product Hunt π
It's a flexible data extraction platform that transforms how businesses handle invoices, receipts, and documents β turning hours of manual data entry into seconds of automated extraction.
Why I built it:
A colleague in the construction industry told me his team was spending countless hours manually copying data from invoices into their accounting system. I realized this wasn't just a construction problem β it's a universal pain point across industries.
Traditional solutions either:
Force you into rigid templates that break with every new supplier format
Require expensive custom development for each document type
Use generic LLMs that hallucinate numbers and miss critical details
So I built Extraction.app to solve this differently.
What makes it unique:
Instead of predefined templates, you simply describe what you want to extract and how you want it formatted. Our specialized extraction models understand document structure and deliver accurate, structured data β whether it's JSON, CSV, or any format you need.
Extract from invoices, receipts, contracts, forms, PDFs, images β anything
Define your own fields and output structure with natural language
Get consistent, reliable results without hallucinations
Who is this for?
If your team wastes time manually entering data from documents, or you're building products that need reliable document processing β Extraction.app is built for you.
Try it now:
Free tier: 50 extractions to test with your own documents
Live demo: See it in action without signing up
I'd love your feedback, questions, and honest takes in the comments π
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π‘ Bright idea
@groupecodaΒ Annie β this is a strong solution. Moving from rigid templates to natural-language extraction is exactly what teams dealing with invoices and supplier docs need.
Quick question on positioning: Are you initially targeting specific industries with heavy document pain (construction, logistics, accounting) or going broad to product teams embedding extraction into their apps?
I ask because we can drive 400+ targeted conversations and 60+ qualified leads in under a month for B2B data tools on LinkedIn β by focusing messaging on βtime savedβ rather than βAI extraction.β That shift alone doubled engagement for similar tools.
If helpful, I can share a few high-converting positioning angles weβve tested.
@groupecodaΒ
Annie β this is a strong solution. Moving from rigid templates to natural-language extraction is exactly what teams dealing with invoices and supplier docs need.
Quick question on positioning: Are you initially targeting specific industries with heavy document pain (construction, logistics, accounting) or going broad to product teams embedding extraction into their apps?
I ask because we can drive 400+ targeted conversations and 60+ qualified leads in under a month for B2B data tools on LinkedIn β by focusing messaging on βtime savedβ rather than βAI extraction.β That shift alone doubled engagement for similar tools.
If helpful, I can share a few high-converting positioning angles weβve tested.
βAgbaje