How AI Certificate Scanning Works (OCR + GPT-4o Vision)
Technical overview of AI-powered certificate scanning using OCR and computer vision to extract credential data automatically.
CertPulse AI uses GPT-4o Vision to extract data from certificate images. The process works in three stages: image preprocessing (contrast enhancement, deskewing, noise removal), OCR text extraction, and intelligent field mapping using large language models. The system can extract holder name, certificate type, issuing authority, issue date, expiration date, and certificate number with 95%+ accuracy.
Frequently Asked Questions
How accurate is AI certificate scanning?
CertPulse AI achieves 95%+ accuracy on clear certificate images. Factors that affect accuracy include image quality, lighting, and document condition. All AI-extracted data goes through a human review step before being committed to the system.
What certificate formats are supported?
CertPulse AI supports JPG, PNG, and PDF certificate images. It can read printed certificates, wallet cards, digital certificates, and even photographs of certificates. Maximum file size is 10MB.
Is PII protected during AI scanning?
Yes. CertPulse AI tokenizes all personally identifiable information (SSN, license numbers, phone numbers) before sending data to AI models. The original PII is stored encrypted and never leaves your organization's database.
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