Surepass PAN Tampering Detection API detects forged PAN card images and PDFs during onboarding through AI-based analysis. Its advanced detection algorithm detects anomalies that human eyes can’t see. It examines multiple visual and structural parameters, including fonts, layouts, formatting, image quality, and other document-level inconsistencies.

Key Features

Image Analysis

• Detects signs of manipulation or forgery in PAN Card images.
• Identifies inconsistencies in fonts, layouts, and formatting.
• Analyses photo quality for signs of editing or pasting.

Data Checks

• PAN Tampering API cross-checks PAN Number format, name, DOB, and other details.
• Verifies security features and detects discrepancies between different data points.

How Does it work?

• Input: Upload an image of the PAN Card in the API.
• API Processing: The OCR will extract the data from the image for cross verification. The data will go under multiple checks to find unusual patterns and provide accurate results.
• Output: Get the tampered status (Tampered/Not Tampered) and detected anomalies.

Applications of PAN Tampering Detection

• KYC Verification for Banks and NBFC: Banks and NBFCs can use the PAN Tampering Detection API to detect fake or manipulated PAN Cards during the customer onboarding process. It ensures that only genuine customers get approval for loans, credit cards, and account opening.
• Background Verification Agency: Background verification Agency can use API to check the legitimacy of the PAN cards during employment verification.
• Fintech Companies: Fintech companies can use the PAN Tampering API to automatically verify the PAN Card during the user sign-up process. It will reduce the manual effort required for verification and prevent fraud.