DeepFace Detection API

Instantly identify AI-generated faces, morphing attacks, manipulated images, and face swaps with Surepass Deep Face Detection API. Prevent synthetic identity fraud and ensure only genuine people get onboarded.

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Introduction

Our DeepFace Detection API uses deep learning and digital forensics to validate the authenticity of face images and videos. It returns a risk result, risk tags, and confidence scores in real time, so only genuine faces make it through your KYC and Video KYC journeys.

How does it work?

Three steps between a face input and a fraud decision.

Step 1: Submit the face image or video through the API as a public URL or Base64 string.

Step 2: Thorough verification of the image or video across multiple parameters.

Step 3: Receive a risk result with risk tags and per-category confidence scores in under a second.

Use Cases

Banks

Banks can use this AI Deepface Detector to check selfie during V-CIP to prevent face swaps before account opening.

NBFC

NBFC can integrate this AI Deepfake Detection API to identify synthetic identities before processing loans applications.

Insurance Companies:

Insurance companies can rely on this Deepface Detection API to verify photo and video during claims and underwriting.

HR and Background Verification

HR can use this Deepfake Detector to detect Deepfake Video interviews and manipulated candidate image.

Benefits of Verifying with our API

Plug and Play

The API is straightforward and integration is effortless, We provide a simple and user-friendly interface.

Prevent Fraud

Prevent identity fraud by detecting AI-generated faces, deepfakes, face swaps, and morphing attacks before biometric verification.

Accurate and Reliable

Our system checks the information. Therefore, the results are always correct and legitimate.

Plug and Play

The API is straightforward and integration is effortless, We provide a simple and user-friendly interface.

Prevent Fraud

Prevent identity fraud by detecting AI-generated faces, deepfakes, face swaps, and morphing attacks before biometric verification.

Accurate and Reliable

Our system checks the information. Therefore, the results are always correct and legitimate.

Features of DeepFace Detection API

Detect Deepfakes and AI-Generated Faces: Identify facial images and videos created using generative AI models, face swaps, and synthetic identity techniques before they enter your onboarding workflow.

Detect Face Morphing Attacks: Recognize morphed faces created by combining multiple identities to bypass identity verification, border control, or KYC systems.

Detect Presentation Attacks: Identify spoofing attempts such as printed photos, screen replays, masks, and other presentation attacks used to fool facial authentication systems.

Video and Frame-Level Analysis: Analyze every frame of an uploaded video to detect hidden manipulation, edited segments, and AI-generated facial content with higher accuracy.

Detailed Risk Score and Confidence Levels: Receive an overall fraud risk score along with category-wise confidence scores and risk tags to automate approval or rejection decisions.

REST API Integration: Integrate the Deepface Detection API into your existing KYC, Video KYC, onboarding, or authentication workflow using secure REST APIs and JSON responses.

Fast Response Time: Process face images or videos in seconds, enabling real-time fraud detection without slowing customer onboarding.

Blog

How Deepfakes Work: Types, Detection Tips, and Real-Life Examples

Deepfake refers to a photo, video, or audio that is fake but appears to be real. On splitting the word Deepfake, “deep” refers to deep learning (a part of AI), and “fake” means not real. With the technology, people can generate faces, voices, or expressions highly accurate or similar to real ones.

Frequently asked questions?

Still have any question? Please contact our sales team

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What is the DeepFace Detection API?

Surepass Deepface Detection API determines whether a face image or video has been manipulated or generated through AI. It detects AI deepfake, face swaps, synthetic faces, morphing attacks, and other facial forgeries.

How does the API work?

User uploads the image or video, the API analyses the image and video using image forensics and machine learning. After analysis, APO provides a JSON response containing a risk score, confidence score, and fraud risk tags.

What types of fraud can API detect?

The API can identifies: AI-generated faces Face swap attacks Face morphing attacks Synthetic identities Deepfake videos

Can I integrate the Deepfake Detector solution with existing business system?

Yes, the REST API smoothly integrates with the existing digital onboarding, eKYC, Video KYC, and employee verification workflow.

What does the API response includes?

The API gives JSON response containing overall risk score, confidence scores, detected fraud categories, and risk tags.

Can this API help prevent synthetic identity fraud?

Yes, the API detects AI-generated faces, face morphing, and deepfake manipulation. The API helps business quickly identity sysntheic identity fraud.

Still have any question? Please contact our sales team

Contact our sales team

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