Extraction.app

AI-powered data extraction without limits

3 followers

AI-powered data extraction without limits

3 followers

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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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Launch tags:Productivity•Artificial Intelligence•Data & Analytics

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LightfieldAI-native CRM that builds itself and does work for you

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Maker

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Hi! Today I'm launching Extraction.app on Product Hunt 🚀 It's a flexible data extraction platform that transforms how businesses handle invoices, receipts, and documents — 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 — 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 — whether it's JSON, CSV, or any format you need. Extract from invoices, receipts, contracts, forms, PDFs, images — 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 — 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 🙌

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9mo ago

💡 Bright idea

@groupecoda
Annie — 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 — by focusing messaging on “time saved” rather than “AI extraction.” That shift alone doubled engagement for similar tools.

If helpful, I can share a few high-converting positioning angles we’ve tested.

—Agbaje

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9mo ago

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Maker

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9mo ago

💡 Bright idea

@groupecoda
Annie — this is a strong solution. Moving from rigid templates to natural-language extraction is exactly what teams dealing with invoices and supplier docs need.

If helpful, I can share a few high-converting positioning angles we’ve tested.

—Agbaje

Report

9mo ago