Compare the Top Deepfake Detection Apps for iPad as of April 2026

What are Deepfake Detection Apps for iPad?

Deepfake detection software is an advanced technology that enables users to detect and analyze deepfake images, videos, and other AI-generated content. It leverages sophisticated machine learning models to identify manipulations of original media content. This software can detect subtle changes in facial expressions, voice patterns, and other visual elements such as blurriness or color discrepancies. It also employs image-processing techniques such as pixel analysis to discover when parts of a video have been tampered with. Deepfake detection software is becoming increasingly important for ensuring the authenticity of digital media content. Compare and read user reviews of the best Deepfake Detection apps for iPad currently available using the table below. This list is updated regularly.

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    Sumsub

    Sumsub

    Sumsub

    Sumsub is a full-cycle verification platform that’s configurable to your needs. Within the KYC solution Sumsub offers ID verification, database validation, biometric authentication, address and non-doc verification, and AML screening. Sumsub uses its own Liveness and Deepfake detection technology to eliminate deepfakes and fake identities. With Sumsub AI-driven protection and customizable KYC, KYB, AML, Transaction Monitoring and Fraud Prevention solutions you can orchestrate your verification process, welcome more customers worldwide, meet compliance requirements, reduce costs and protect your business from fraud. Sumsub achieves the highest conversion rates in the industry—91.64% in the US, 95.86% in the UK, and 97.89% in Hong Kong—while verifying users in less than 50 seconds on average. Sumsub’s methodology follows FATF recommendations, the international standard for AML/CTF rules and local regulatory requirements (FINMA, FCA, CySEC, MAS, BaFin).
    Starting Price: $1.35 per verification
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  • 2
    Oz Liveness

    Oz Liveness

    Oz Forensics

    Oz Liveness is a leading facial recognition and authentication software used by private and public organizations across the globe to lower the risk of biometric fraud by preventing deepfake and spoofing attacks with 100% accuracy. The technology has been validated by the industry’s most rigorous testing standard, ISO 30107-3 iBeta level 1 and 2 certifications. It helps organizations validate they are dealing with a real person within seconds, lowering compliance and fraud risks. Oz Liveness features advanced algorithms able to detect many forms of biometric spoofing, including 3D and 2D masks and photos along with photos or videos displayed on a mobile or a laptop screen. On-device Liveness detection and face biometry checks allow to use of a phone as a personal biometric device. No data is sent to the server from the device and stays in the customer's hands. On-device Liveness is perfect in any customer’s use case, improving the reachability and stability of the services .
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    Starting Price: $2,625/year/12,500 transaction
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    Paravision

    Paravision

    Paravision

    Paravision is a core Identity AI technology provider delivering top-tier accuracy, fairness, and performance. Its AI products, including face recognition, liveness detection, deepfake detection, and age estimation, powering identity workflows for enterprises and government agencies. Paravision consistently ranks among the top global performers in industry benchmarks, including NIST’s Face Recognition Technology Evaluations and DHS Biometric Tests. Its technology enables identity, access, and fraud prevention systems at global scale. Trusted by leaders across travel, payments, digital identity, hospitality, security, and health identity sectors, the company combines benchmark-leading performance with ethically built, modular AI infrastructure for high-accuracy identity verification and authentication.
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    DuckDuckGoose AI

    DuckDuckGoose AI

    DuckDuckGoose AI

    DuckDuckGoose is an enterprise deepfake detection platform designed to help organizations identify AI-generated or manipulated media. The technology detects deepfake images, videos, voices, and identity documents before they reach verification systems or decision engines. Built for identity, compliance, and digital risk teams, the platform integrates easily into existing systems through APIs and SDKs. DuckDuckGoose provides forensic-level analysis with explainable results, visual evidence, and detailed detection logs. Its detection engine is trained on diverse datasets to accurately flag synthetic media while maintaining a low false-positive rate. The platform supports multiple deployment options, including cloud, on-premise, and hybrid environments. By identifying manipulated content early, DuckDuckGoose helps organizations prevent fraud, protect digital identity systems, and maintain regulatory compliance.
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