Receiptor AI
Bookkeeping on Autopilot with AI
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What would it take to actually trust an AI agent to run your receipt workflow the way you would?

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We're back on Product Hunt, and we've been busy 🚀

Last time we launched, you made us Product of the Day. Since then, we've been obsessed with one question: what would it take to actually trust an AI agent to run your receipt workflow the way you would?

Not just collect documents, but manage them end-to-end: catch its own mistakes, learn your habits, ask when unsure, and work without needing you there.

Today, we launched Agent Mode on Product Hunt with exactly that:

  • 🧠 Memory: remembers your preferences and past decisions

  • 🔁 Pattern recognition: learns how you work and writes its own rules

  • 🙋 Asks when unsure: once, never twice

  • 🩹 Self-healing extraction: math-validated, catches its own errors

  • 💬 Ask from anywhere: app, WhatsApp, or Claude via MCP

If you've been with us for a while, we'd love your honest take. And if you haven't tried it yet, now's a good time: 14-day free trial, and use PH2026 for 30% off any plan for a year.

👉 and let us know what you think! We'd love your feedback 🙏

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catching its own mistake is a strong claim. i'd be most curious to see how reliable that is in real edge case.

Congrats on your launch, mate!! Tried upvoting you, but it was diabled, remind me when you've launched and I'll support you :)

For me, trust in a receipt workflow would come from three things: reversibility, visibility, and exception handling.

I’d want to see what the agent extracted, how it categorized the receipt, what rule or prior behavior it used, and what it flagged as uncertain. The agent can probably handle the routine work, but anything unusual like missing tax info, duplicate receipts, refunds, or vendor mismatches should be surfaced clearly for review. That is the difference between automation and finance-grade automation.