turn messy receipts into clean expense data with AI

App Saturday

Hey everyone

Like a lot of people here, I’ve always struggled with receipt tracking. Personal expenses, freelance work, small business costs it all ends up as a messy pile of paper receipts and half-filled spreadsheets. Manually entering everything is slow, boring, and easy to mess up.

What I really wanted was something simple:
scan a receipt → extract the data → send it straight to Google Sheets.
No heavy accounting software. No complicated setup.

I couldn’t find exactly that, so I decided to build it.

After wasting way too many hours manually logging receipts (and realizing how many expenses I was missing), I built ReceiptSync, an AI-powered app that automates the whole process.

How it works

• Snap a photo of any receipt
• AI-powered OCR extracts line items, merchant, date, tax, totals, and category
• Duplicate receipts are automatically detected
• Data syncs instantly to Google Sheets
• Total time: ~3 seconds

What makes it different

• Smart search using natural language (e.g. “show my Uber expenses from last month”)
• Line-item extraction, not just totals
• Duplicate detection to avoid double logging
• Interactive insights for spending patterns and trends
• Built specifically for Google Sheets export

I’ve been testing it for the past month with a small group, and the feedback has been amazing — people are saving 5–10 hours per month just on expense tracking.

Tech Stack

  • Frontend: Flutter (iOS & Android)
  • Backend: Supabase
  • OCR & Parsing: AI Vision/OCR pipeline with structured post-processing

Development Challenge

The hardest problem wasn’t reading the receipt it was structuring messy real-world receipts.

Different countries, currencies, store formats, faded ink, long grocery receipts… OCR alone gives chaotic text.
So I built a post-processing pipeline that:

  1. Detects merchant + totals reliably
  2. Reconstructs line items
  3. Categorizes expenses
  4. Detects duplicates using receipt fingerprinting

Getting accuracy high enough to trust automatically (without manual correction) took the most iteration.

AI Disclosure

The app is self-built by me;

  • AI is used for OCR and data extraction
  • I wrote the application logic, pipeline, UI, and integrations myself

If this sounds useful, here’s the app:

https://apps.apple.com/us/app/receiptsync-receipt-tracker/id6756007251
https://play.google.com/store/apps/details?id=com.app.receipt_sync

Happy to answer questions or get feedback 🙌

Posted Feb 21, 2026, 6:56 AM UTC

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