AI-Powered Vehicle Analysis

Upload photos of any vehicle—our AI identifies 100+ parts, assesses damage, and prices everything in under 60 seconds. Here’s how the technology works.

95%+

Vehicle ID accuracy

100+

Parts per vehicle

< 60 sec

Analysis time

VIN OK

VIN verification

The Multi-Pass Analysis Pipeline

Vehicle Identification

The AI identifies year, make, model, trim, and optional equipment from exterior and interior photos. When a VIN is visible or provided, it cross-references against manufacturer databases for precise identification.

Parts Extraction

A second pass extracts every sellable component: engine, transmission, body panels, interior parts, electrical, suspension, brakes, and more. We typically identify 100+ parts per vehicle with OEM-style naming.

Damage Assessment

Each part is assessed for damage: impact, rust, wear, missing components, or functional issues. The result feeds into our condition grading system (A through D) for transparent buyer expectations.

Pricing

Using market data from eBay sold listings, salvage yard pricing, and historical benchmarks, the AI assigns fair market prices per part. Prices reflect condition, demand, and vehicle-specific premiums.

Technical Credibility

Claude Vision

Anthropic’s frontier vision model powers image understanding. It recognizes body styles, trim levels, damage patterns, and optional equipment across all makes and years.

Cross-Referencing

Results are cross-referenced with manufacturer parts catalogs, interchange data, and VIN decoders. This catches errors and ensures OEM-style part names and compatibility.

VIN Verification

When a VIN is visible or entered, we decode it for year, make, model, trim, engine, transmission, and equipment. This validates and refines the AI’s identification.

Before & After: Photo → Inventory

Input: Vehicle Photos

6–12 photos from front, rear, sides, interior, engine bay, and any damage. Smartphone quality is fine. Optional: VIN photo or manual entry.

• Exterior angles
• Interior and dash
• Engine compartment
• Visible damage

Output: Full Parts Inventory

A complete list of identified parts with condition grades, market prices, and descriptions. Ready to edit, export, or publish.

• 100+ parts with OEM names
• A–D condition grades
• Market-based pricing
• Export to CSV or marketplace

Try AI Analysis Free

Learn More

How the Marketplace Works Our Part Grading System How We Price Parts AI Salvage Calculator

AI Analysis - Frequently Asked Questions

How accurate is the AI at vehicle identification?

We achieve 95%+ accuracy on year, make, model identification. When a VIN is available, accuracy approaches 100%. The AI is trained on millions of vehicle images and manufacturer databases.

How many parts does the AI detect per vehicle?

On average, we extract 100+ parts per vehicle. This includes engines, transmissions, body panels, interior components, electrical parts, suspension, brakes, cooling, exhaust, fuel system, glass, HVAC, steering, drivetrain, and accessories.

What AI technology powers the analysis?

We use Claude Vision and proprietary models for computer vision tasks. The system cross-references vehicle data, VIN decoders, and market pricing databases to ensure accuracy and fair valuation.

Can the AI handle damaged or partially visible vehicles?

Yes. The AI is trained on salvage, flood-damaged, and accident vehicles. It infers missing or obscured parts from context and marks uncertain items for manual review. Partial VINs are also supported.