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API9/7/2026

Vehicle recognition API: identify make and model from an image

K
Kevin Diagne 3 min read
Vehicle recognition API: identify make and model from an image
Key takeaways

The AI ScanRacer API available on RapidAPI enables developers to automatically identify vehicle make, model, variant, and year from a single image. With a rich database of 738 brands and over 31,000 models, this API is a powerful tool for automotive applications but has limitations related to image quality and coverage of recent models. This technical guide walks you through integration and practical usage of the API, while also pointing to the ScanRacer app on the App Store for a full user experience.

Overview of the AI ScanRacer API via RapidAPI

The AI ScanRacer API available on RapidAPI (https://rapidapi.com/KevinFiocre/api/ai-scanracer) allows you to analyze a vehicle image to automatically extract the make, model, variant, and year. The database includes 738 brands and 31,092 models, covering a wide range of historical and recent vehicles. This API is ideal for developers looking to enhance their applications with fast and accurate car recognition from images.

Features and available data

The API provides detailed results including make, model, variant, and production year. For example, it can identify a 1992 Mazda RX-7, a 2007 Nissan GT-R Base, or a 2022 Porsche 911 GT3 Touring. The data comes from 15,597 distinct classes and 7,856 published photos, ensuring fine-grained recognition. However, accuracy depends heavily on the quality and angle of the submitted photo.

Practical limitations to consider

Despite its richness, the API has some limitations:

  • Recognition may be less reliable on blurry, poorly framed, or heavily modified vehicle images.
  • Very recent or rare models may not be immediately recognized.
  • The API does not provide real-time video recognition, only static images.
  • Usage is subject to RapidAPI quotas and terms.

It is therefore recommended to test the API with your own images and use cases to assess its suitability.

Integration and additional resources

To integrate the API, sign up on RapidAPI and use the documented endpoints to send your images and retrieve results. You can check the full documentation and start testing here: https://rapidapi.com/KevinFiocre/api/ai-scanracer. For a complete user experience, do not hesitate to discover the official ScanRacer app available on the App Store: https://apps.apple.com/fr/app/scanracer/id6751644167. Availability on Google Play can be added once the app is publicly released on that platform.

Access ScanRacer

  • iOS app: https://apps.apple.com/fr/app/scanracer/id6751644167
  • Android app: https://play.google.com/store/apps/details?id=com.KD367.scanracer
  • RapidAPI API: https://rapidapi.com/KevinFiocre/api/ai-scanracer

Why this guide is published by ScanRacer

This article is based on ScanRacer data and product features: mobile app, vehicle catalog, public examples, and API. It is not based on rewritten external news.

FAQ

What types of images are compatible with the ScanRacer API?

The API works with static images of cars where the vehicle is clearly visible. Blurry, very dark, or extreme angle photos may reduce recognition accuracy.

Can the API recognize all existing car models?

The API covers 738 brands and over 31,000 models, including many historical and recent vehicles. However, some very rare or very recent models might not yet be recognized.

Can the API be used for real-time video recognition?

No, the ScanRacer API is designed to analyze static images only. Real-time video recognition is not currently supported.

How do I access the ScanRacer API?

The API is accessible via RapidAPI at https://rapidapi.com/KevinFiocre/api/ai-scanracer. You need to create a RapidAPI account to get an API key and start using it.

Is there a ScanRacer mobile app?

Yes, the official ScanRacer app is available on the App Store: https://apps.apple.com/fr/app/scanracer/id6751644167. Availability on Google Play can be added once the app is publicly released.

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APIKevin Diagne9/7/2026