DAIS Community Virtual Challenge 2026: Sysl — Scanning Japanese Receipts

akiya — Fri, 05 Jun 2026 05:41:06 GMT

The Problem

Living in Japan means getting handed receipts everywhere — convenience stores, pharmacies, restaurants. Most end up in a pocket or trash, never tracked, and the coupons go unused.

The Solution

Sysl is a PWA that scans any Japanese receipt automatically. Point the camera, tap once, and the store name, items, total, payment method, and coupons are extracted and saved — no manual entry needed. It installs directly on your phone home screen.

Every receipt gets pinned on a community map so users can see what people nearby are buying and what coupons are available at local stores.

Databricks

Every scan logs two MLflow runs to the receipts-ocr experiment on Databricks Free Edition — one for OCR quality metrics (confidence score, block count, low-confidence blocks), one for extraction results (store name, category, total spend, payment method, coupons found). Across all scans, over 30 runs are logged and tracked.

[Image 1 — MLflow runs list]

After 17 real receipts scanned across convenience stores, groceries, restaurants, and bakeries in Japan:

Total spend tracked: ¥7,786
Average per receipt: ¥458
Average OCR confidence: 87.16%, peak 99.81%

[Image 2 — summary table]

The analytics notebook breaks down spending by category, receipt count by store type, and OCR confidence trends across scans.

[Image 3 — spend by category charts]

Stack

Next.js, FastAPI, PaddleOCR PP-OCRv5, GPT-4o-mini, Supabase, Mapbox, Databricks Free Edition

What's Next

Predictive budgeting on Delta Lake, coupon recommendations via collaborative filtering, and Databricks AI Gateway for model governance and A/B testing.

Video: https://youtu.be/Cg6nmgnvwGY

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DAIS Community Virtual Challenge 2026: Sysl — Scanning Japanese Receipts