The Vehicle Databases Blog: Automotive Data, Tech & Insights
Your trusted source for automotive data, APIs, and insights. Explore new releases, API fundamentals, emerging technologies, market trends, and business strategies shaping the automotive world.

4 Common Questions About VIN Decoding (Answered)
Decoding VINs right is a serious problem in the automotive industry. There are very few companies in the industry claiming that they can decode VINs with the highest accuracy. Well, it’s hard to track down the trim of the vehicle, and one of the oldest in the league- motors.com also claims an accuracy of only…

Integrating VIN Scanner Into Your Application (Explained)
Integrating a VIN Scanner into your application is an amazing feature for most of the automotive businesses since its offer reduction in errors due to elimination of manual entry procedures, reduce costs, and makes the operation faster. Faster? Yes, because we all are aware that manual procedures of VIN entry take time whereas a scan…

VIN OCR – Scanning Technology Saves Time, Reduce Errors, Labor & Costs
Many automotive businesses need to keep records of VINs for several purposes, but a greater use case of VIN scanning is in automotive manufacturing. To prove the title “VIN OCR scanning technology saves time, reduces errors and labor work ad costs,” this article will discuss a case of one of the largest manufacturers in the…

Vehicle Data for Machine Learning: Turn VINs Into Model-Ready Features
A machine learning model is only as good as the data it learns from, and for vehicle models that data starts with the VIN. A single VIN column can be expanded into dozens of clean, consistent features, such as make, model, year, engine, body type and drivetrain, without your team scraping sources or hand-cleaning spreadsheets.