
FakeCheck — AI Counterfeit Detection & Brand Verification
AI-powered counterfeit detection and brand verification platform analyzing stitching, logo typography, hardware engravings, and serial codes from photos in under 4 seconds.
About This Model
Overview
FakeCheck is an AI-powered visual forensic authentication platform engineered for luxury goods buyers, collectors, consignment resellers, and e-commerce platforms. Leveraging state-of-the-art multimodal computer vision (Gemini 2.0 Flash Vision) and advanced forensic reasoning (OpenAI GPT-4o), FakeCheck evaluates microscopic craftsmanship indicators from ordinary smartphone photos in under 4 seconds, identifying replicas and counterfeit goods with 94% forensic accuracy.
The Problem
The global counterfeit goods market exceeds 50 to $300 per appraisal and taking 5 to 14 business days. Counterfeit manufacturers produce 'super-fakes' that easily fool casual observation, leading to significant financial losses, buyer chargebacks, and reputational damage for secondary marketplaces.
The Solution
FakeCheck democratizes expert brand verification with an instant, photo-driven AI forensic engine. Users capture or upload close-up photos of an item's critical touchpoints—such as seams, embossed leather stamps, zipper engravings, or serial numbers. In under 4 seconds, FakeCheck generates a comprehensive inspection report with overall authenticity verdict (AUTHENTIC, COUNTERFEIT, or INCONCLUSIVE), a confidence rating (0–100%), itemized checkpoint evaluations, and actionable guidance.
Key Capabilities
- Multi-Point Forensic Seam Inspection: Measures stitches-per-inch (SPI), thread tension, back-tack symmetry, and edge beveling against authentic manufacturing baselines.
- Logo & Typography Verification: Micro-analyzes font kerning, serif thickness, heat-stamp indentation depth, and baseline alignment to expose irregular typography.
- Hardware & Metalwork Precision: Examines zipper teeth pitch, CNC laser engravings, rivet plating, and metallic luster to detect inferior cast alloy replicas.
- Serial & Date Code Validation: Decodes factory codes, production week/year matrices, and manufacturer batch stamps to identify chronological mismatches.
- Edge Case & Low-Confidence Guardrails: Automatically flags degraded or blurry captures (<60% confidence) with guided retake suggestions (REQ-008).
- High-Throughput RESTful API: Enterprise-grade endpoints (/api/fakecheck/analyze, feedback) enabling frictionless integration into e-commerce listing and appraisal workflows.
Business Benefits
- Instant Transaction Assurance: Authenticate items during live estate sales, consignments, or peer-to-peer meetups in seconds.
- Drastic Appraisal Cost Reduction: Cuts verification expense from $50+ human appraisal fees down to €0.05 per automated API check.
- Eliminate Return Disputes: Prevents merchant fraud and disputed chargebacks by establishing an immutable visual verification audit trail.
- Scalable Consignment Ingestion: Allows high-volume vintage and resale platforms to pre-screen thousands of SKU listings daily without staffing bottlenecks.
Use Cases
- Luxury Collectors & Online Shoppers: Verifying pre-owned designer handbags, watches, and streetwear before completing purchases on secondary marketplaces.
- Consignment Stores & Pawn Shops: Pre-screening customer trade-ins and verifying inventory authenticity at point of intake.
- Online Resale Platforms: Embedding automated photo verification into seller listing flows to block counterfeit listings before publication.
- Brand Protection Specialists: Monitoring online marketplace listings for trademark infringement and counterfeit distribution.
Who It's For
Built for luxury shoppers, secondhand luxury consignment platforms, vintage boutiques, independent appraisers, sneakerheads, collectors, and e-commerce trust & safety teams demanding fast, scalable authentication.
How It Works
- Capture or Upload: User takes high-resolution smartphone photos of the item, focusing on logos, stitching, hardware, and serial tags.
- Multimodal AI Analysis: Gemini 2.0 Flash Vision extracts microscopic geometric and textural features across 4 forensic checkpoints.
- Forensic Reasoning Engine: GPT-4o compares extracted features against established luxury brand manufacturing tolerances and date codes.
- Verified Certificate & Action Steps: Generates structured JSON report, confidence score, risk severity, and exportable digital certificate.
Why FakeCheck
Unlike generic vision APIs that merely identify object categories, FakeCheck is purpose-built for counterfeit detection with specialized forensic prompts, tolerance matrices, automated blur rejection, and statutory brand protection disclaimers.
Key Features
Use Cases
- Luxury shoppers and collectors verifying authenticity before purchasing pre-owned items
- Consignment stores and vintage boutiques pre-screening inventory at point of intake
- Resale marketplaces embedding automated counterfeit screening into seller listing flows
- Brand protection specialists auditing online marketplaces for counterfeit listings
Pricing Plans



