TrueReview Platform
Combating fake reviews through multiple verification layers. OCR-scanned receipts + AI product identification for authentic review verification.
Overview
A verification-first review platform that restores trust through proof. Users submit OCR-scanned receipts and product photos; the system verifies purchase and product match via computer vision, then allows attested reviews that carry higher weight.
The Opportunity
Fake reviews erode trust in every marketplace. Platforms like Amazon and Yelp struggle to distinguish authentic from fabricated. Receipt + product verification creates a verifiable signal that's hard to game.
Approach
Multi-stage verification: (1) receipt OCR and merchant validation, (2) product identification via CLIP/YOLO against catalog, (3) attestation layer that surfaces verified vs. unverified reviews. Start with a single vertical (e.g. electronics, supplements) before expanding.
Focus Areas
- •Receipt OCR and parsing
- •Product-image-to-SKU matching
- •Verification UX (low friction)
- •Marketplace integration