Samples for Dynamsoft Capture Vision Python Edition

Simple VIN decoder for PHP 7.1+ based on ISO-3779

Scraping window sticker data for GM vehicles (2020+)

Samples for Dynamsoft Capture Vision Mobile Edition

iOS swift package for Dynamsoft Capture Vision Bundle

Samples for Dynamsoft Capture Vision SDK DotNet Edition

Samples for Dynamsoft Capture Vision SDK C++ Edition

Pure Kotlin Library for extracting info from VIN, validating VIN, and generating random/mocked VIN for testing.

Decode and Validate Vehicle VINs - Javascript Client Wrapper for the nhtsa.dot.gov VPIC Vehicles API.

A VIN decoding, validation, and generation library for Dart.

Dynamsoft Label Recognizer (DLR) is an SDK designed to recognize meaningful zonal text or symbols in an image (Label). Common scenarios include price tags in supermarkets, inventory labels in warehouses, VIN codes on car windshields, driver licenses, passports, visas, ID cards, etc.

Validate and decode Vehicle Identification Numbers

Files to decode VINs using an altered version of NHTSA's VIN Decoder. The stored procedure has been altered so that relevant data is output in a consistently ordered format to assist processing.

Extracts useful information from Vehicle Identification Number (VIN)

Vehicle data gathered from government websites and censuses, VINs decoded using NHTSA Decoder API, data search web app created to analyze data

Library to parse and decode VIN (Vehicle Identification Number) from cars. Also known as chassis number.

VEMO is a project to be developed in Swift for iOS devices. The project aims to automate the search for car information for people who are interested, the point is that the application will be connected to a common database which contains information about many cars.

Ruby gem for various VIN (Vehicle Identification Number) related tasks

Universal VIN Decoder is a tool to decode car's vin (vehicle identification number)