Fakeradar

About Fakeradar

Fakeradar is a real-time deepfake detection service for video calls that checks whether the person on screen is genuine with a single click. It runs alongside common platforms and emphasizes privacy by not recording calls, not accessing audio, and not storing user data.

Review

Fakeradar focuses on protecting video conversations from spoofing and synthetic media by delivering instant detection within meetings on platforms like Zoom, Google Meet, Teams, and Discord. The product is straightforward to use and targets high-risk scenarios such as interviews and financial verification, while the team continues to expand detection coverage and integrations.

Key Features

• Real-time detection during video calls on major conferencing platforms (Zoom, Google Meet, Teams, Discord).
• Privacy-first operation: no recordings, no audio access, and no data retained.
• Detection of deepfakes, static photos, and other suspicious visual signals.
• Supports detection for eight deepfake generators today, with ongoing additions planned.
• One-click verification workflow, with API and on-premise options planned for future release.

Pricing and Value

Fakeradar lists a free option and appears to be positioning paid plans for organizations with larger or enterprise needs, though full pricing tiers are not yet detailed publicly. The value proposition is clear for teams that face fraud risk on video calls: fast verification reduces the chance of scams during interviews, client onboarding, and high-stakes meetings. Upcoming API and on-premise offerings are aimed at firms with strict privacy or compliance requirements.

Pros

• Operates during live calls, providing immediate verification without extra steps.
• Strong privacy stance that avoids storing or listening to call audio.
• Works across popular conferencing platforms, simplifying adoption.
• Detects both synthesized video and static photo spoofing attempts.
• Continuously expanding detection coverage for new deepfake generators.

Cons

• Mobile applications are still in development, so mobile protection is not yet available.
• Public pricing details and full feature tiers are limited at launch.
• Detection currently covers eight generators and may need time to keep pace with the fastest-moving spoofing techniques.

Fakeradar is well suited for recruiters, financial institutions, and any teams that conduct sensitive video interviews or client verifications and want an added layer of trust during calls. Early adopters who prioritize privacy and live protection will benefit most, while organizations that need mobile or on-premise solutions may wait for upcoming releases and additional pricing clarity.