MotorDNA, Auto Insurance Analytics
Digitizing 25M+ vehicle documents with large-scale OCR
One of the industry’s largest OCR implementations, reading and normalizing 25M+ vehicle specification documents to power risk analytics.
- 25M+
- Documents processed
- 82%
- Extraction accuracy
- Custom
- Character-purification model
Challenge
MotorDNA set out to build the largest US repository of vehicle specifications. That meant reading, processing, and preserving 25M+ old, archived documents with distorted fonts, varied structures, and inconsistent print quality.
Approach
VertexPlus delivered one of the largest OCR implementations in the industry using Google TensorFlow, plus a proprietary “Character Purification” model to refine data quality, then applied AI/ML to normalize the extracted specifications.
Solution
Standardized vehicle build specifications across all US makes and models now feed Vehicle IQ™ scores that help insurers and consumers make data-driven decisions. A parallel financial-audit OCR build reached up to 82% extraction accuracy across lakhs of documents.
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