VehicoreVehicore
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Vehicle image processing for real workflows
EU-hosted · privacy-first

Turn vehicle photos into structured data.

Send one photo or a full set of images. Vehicore can read plates and VINs, detect damage, anonymize sensitive details, normalize vehicle data, and return structured JSON for insurance, auctions, marketplaces, and fleet work.

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One photo in, one structured result out
Run one service or combine several steps in one pipeline
EU-hosted processing with zero image retention by default
No training on customer data · no human access to submitted images

Built for teams that need clear outputs they can use in real systems.

Example JSON output

Simple examples of the structured results Vehicore returns.

{
  "text": "BMW 330i",
  "fields": [
    { "key": "make", "value": "BMW", "confidence": 0.97 },
    { "key": "model", "value": "3 Series", "confidence": 0.92 },
    { "key": "trim", "value": "330i", "confidence": 0.90 }
  ]
}
Vehicle photo processing with EU-hosted infrastructure and privacy-first handling.
EU hostedZero image retentionNo human access to imagesNot used for model training
How it works

Run one service or combine several steps

Vehicore services can be used on their own, or grouped into one pipeline. You send a vehicle photo, choose the steps you need, and get structured output back.

Photo input
Vehicle image uploaded
OCR
Read plates, VINs & text
Anonymize
Remove plates & faces
Damage
Detect damage regions
Normalize
Structure vehicle data
Structured output
Typed JSON record
Learn about pipelines
Getting started

Simple to test. Easy to expand.

Start with one endpoint and a few sample images. Add more steps when you need them.

Get started freeView API docs
01
01

Create a free account

Create an account and get an API key. No SDK or setup work required to begin.

02
02

Pick a service or pipeline

Start with one service, or send one request that runs several steps in order.

03
03

Send a photo, get structured data

Send an image and get structured JSON back with fields, detections, and confidence scores.

What makes it different

Built for vehicle photos and real operational work

Vehicore is meant for teams that need clear outputs and predictable processing, not one-off model demos.

Built for vehicle images

Vehicore is focused on the kinds of images automotive teams actually work with: plates, VINs, damage, orientation, and related vehicle details.

Use one service or several steps

Run OCR, anonymization, damage detection, normalization, or valuation on their own, or combine them in one pipeline.

EU-hosted and privacy-first

Images are processed in the EU and are not retained after the response by default. Submitted data is not used for model training.

Structured JSON with confidence scores

The output is made to be useful in real systems: fields, detections, geometry, and confidence scores in clear JSON.

Common use cases

How teams use Vehicore

Vehicore fits into insurance, auctions, marketplaces, and fleet operations where vehicle photos need to become usable output.

Insurance & Claims

1

Claims teams process first-notice-of-loss photo submissions without manual triage. A single pipeline call runs plate OCR, damage detection, and claim standardization. Adjusters receive a structured damage report ready for their system.

Damage recognitionClaim standardizationOCR

Vehicle Auctions

2

Auction platforms convert dealer photo uploads into complete vehicle records. OCR reads the plate or VIN, normalization resolves make, model, and year, valuation returns a market price estimate — no manual entry.

OCRNormalizeValuation

Marketplace & Classifieds

3

Marketplace operators meet GDPR requirements at scale. Photos pass through anonymization to blur plates and faces before storage. Vehicle data is normalized and enriched from the same image in the same request.

AnonymizationNormalizeOCR

Fleet Inspection

4

Fleet operators process inspection photos for damage detection and vehicle side identification. Structured records output as JSON feed directly into fleet management systems.

Damage recognitionCar side recognitionStructured output
Build vs. buy

Why most teams don't build vehicle image processing in-house

  • Reaching production accuracy on plate reading and damage detection requires large annotated datasets — collected over years, for each plate format and vehicle type you need to support.
  • Recognition models need regular retraining as new plate formats, vehicle generations, and regional variants are introduced. That maintenance does not stop.
  • Processing customer vehicle photos under GDPR requires documented data residency, deletion guarantees, and processing policies — before any model runs in production.
  • Vehicore gives teams a cleaner starting point: send the image, get structured output back, and spend less time building the surrounding system.
Get started free
Services

API services — use individually or in a pipeline

Each service has its own page with inputs, outputs, and a live demo. Use them standalone via REST API, or chain them into a configurable workflow.

OCR

Read plates, VINs, labels, and other vehicle-related text from images.

Use it on its own or as one step in a larger pipeline.
Open page

Damage recognition

Detect visible damage and return locations and severity signals for review.

Use it on its own or as one step in a larger pipeline.
Open page

Car Side Recognition

Detect vehicle orientation and image view so later steps can run with better context.

Use it on its own or as one step in a larger pipeline.
Open page

Image Classification (CLIP)

Classify vehicle images against labels or categories to help sort and route incoming data.

Use it on its own or as one step in a larger pipeline.
Open page

Anonymization

Blur or mask plates, faces, and other sensitive areas before storage or sharing.

Use it on its own or as one step in a larger pipeline.
Open page

Claim Standardization

Combine image and document outputs into one structured claim record.

Use it on its own or as one step in a larger pipeline.
Open page

Normalize to structured data

Turn raw text and image findings into clean vehicle fields such as make, model, year, and trim.

Use it on its own or as one step in a larger pipeline.
Open page

Market valuation

Estimate vehicle value from structured vehicle data and return pricing context in a usable format.

Use it on its own or as one step in a larger pipeline.
Open page
Privacy & compliance

Built for privacy-sensitive vehicle workflows

Vehicore is built for teams that handle real customer vehicle images. Processing is EU-hosted. Images are not retained by default. Submitted data is not used for training, and uploaded content is not part of normal human review.

EU infrastructureZero image retentionNo training on customer dataNo human access to submissionsIn-memory processing only
Privacy & security Talk to sales

Ready to test it on your own workflow?

Start with one service or try a full pipeline. If you need help with a real use case, we can talk through it.

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