Check if it's a deepfake.
The free deepfake detector from Resemble AI. Drop an audio, image, or video file and get a verdict — plus the reasoning behind it.
Select an audio, image, or video file.
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Deepfake incidents Resemble is built to stop.
The strongest signal on this site is the public record: real voice-clone scams, synthetic images, video-call impersonation, election disinformation, and platform abuse. The database refreshes as new verified incidents are added, so the homepage stays grounded in what attackers are doing now.
Arup (global engineering firm)
A finance employee at engineering firm Arup wired $25.6M after a multi-person video call where every participant except them was a deepfake. The case that made deepfake video-call fraud mainstream.
New Hampshire voters / Biden campaign
Cloned audio of President Biden told New Hampshire Democrats not to vote in the primary. The first high-profile AI robocall of the 2024 US election cycle and the case that triggered FCC action on AI voice calls.
Finance worker in Hong Kong (company's CFO and other executives)
A finance worker in Hong Kong transferred $25 million to scammers after a deepfake video call impersonated the company's CFO and other executives.
Fresh examples for deepfake fraud, AI voice scams, and synthetic media abuse.
Each incident links to cited sources and a breakdown of where detection, provenance, watermarking, or workflow controls could have helped. This is why the detector exists: not as a demo, but as a public front door into Resemble's deepfake intelligence stack.
JJ College of Technology
Students at JJ College of Technology in Trichy allege the institution is using AI-generated imagery in brochures to misrepresent campus infrastructure and facilities
Stefanie Yuen Thio
Legal expert and founder of SG Her Empowerment Stefanie Yuen Thio shares her personal experience as a victim of a deepfake attack and the broader implications of digital abuse
Preity Zinta
The Bombay High Court has granted actress Preity Zinta permission to file a civil suit against Google and Meta regarding unauthorized AI-generated deepfake content
Megan Thee Stallion
A 2025 jury found social media influencer Milagro Elizabeth Cooper liable for defaming Megan Thee Stallion by promoting an altered sexual deepfake video
Neymar Jr.
Brazilian soccer star Neymar Jr. has partnered with FlareFlow to feature his licensed digital likeness in 16 AI-generated microdramas debuting during the 2026 FIFA World Cup
Brad Pitt
A 53-year-old French woman was swindled out of over 850000 USD after a scammer used AI-generated images of Brad Pitt to establish a fraudulent romantic relationship
From suspicious links to live deepfake meetings.
Most incidents start in the places teams already work: browser tabs, shared media, video calls, and meeting rooms. These two Resemble products are the clearest next steps from the public detector.
Deepfake Detection Chrome Extension
Check suspicious audio, video, and images while browsing the web. Useful for journalists, analysts, trust-and-safety reviewers, and anyone validating media before sharing it.
- Verify media in the browser
- Route suspicious content into deeper analysis
- Useful for incident triage and open-source research
Deepfake Detection for Meetings
Bring deepfake detection into Zoom, Microsoft Teams, Google Meet, and Webex workflows where executive impersonation and live-call fraud can happen.
- Built for live meeting risk
- Supports Zoom, Teams, Google Meet, and Webex
- Helps teams respond to video-call impersonation
More than a detector.
A full trust layer for AI media.
HIBP for breaches. VirusTotal for malware. detectdeepfakes.com is the trust utility for synthetic media — free tools for the world, powered by the same stack Resemble AI deploys to banks, telcos, and newsrooms.
Paste any URL — we extract the text and images, run every asset through our detectors, and return one unified risk report.
Check any audio, image, or video for Resemble's multimodal watermark. C2PA and SynthID layering in development.
Upload a voicemail. We flag AI-generated voice and map it against 20 known scam scripts — the engine banks and telcos use in production.
Every major deepfake incident on record, documented with cited sources. Free to cite for journalists and researchers.
Drop our detector into your own site or newsroom. One script tag. Free for non-commercial use.
Detection is one layer. Incidents show where it fits.
For fraud teams
Use the audio and video detectors to triage suspicious calls, submitted recordings, and executive impersonation evidence before money moves.
For newsrooms
Verify viral media against detector signals, provenance clues, and the incident database before treating a clip as evidence.
For platforms
Map incident patterns into trust-and-safety workflows: AI images, synthetic profiles, voice cloning, and coordinated abuse campaigns.
For developers
Move from one-off checks to API-based detection when uploads, calls, or user-generated media need continuous screening.
A free detector backed by real attack intelligence.
What the detector checks
Deepfake detection works best when several signals are considered together. Audio files can expose vocoder fingerprints, unusually regular timing, or cloned-speaker artifacts. Images can reveal diffusion-model texture, inconsistent camera noise, manipulated faces, missing provenance, or repeated compression patterns. Video adds temporal evidence: identity drift, lip-sync mismatch, unstable lighting, and frame artifacts that are hard to see by eye.
Why the incident database matters
Search results for deepfake detection are full of generic tools. The difference here is the incident record underneath the interface. Each verified case shows the attack pattern, the affected victim or organization, the media type, and the public sources behind the report. That makes the homepage useful for people searching for a free deepfake detector, deepfake fraud examples, AI voice scam evidence, or a cited database of synthetic-media abuse.
When to move from a free check to Resemble AI
A one-off upload is enough for a suspicious voicemail or viral image. Organizations need a different layer: API-based screening, media-intelligence workflows, watermarking and provenance checks, model updates, and reporting that fits fraud, trust-and-safety, newsroom, or compliance operations. That is the role of Resemble AI behind this public detector.
Need deepfake detection inside your product or workflow?
Resemble AI gives teams the detection API, watermarking and provenance checks, media intelligence, and operational workflows needed to respond to the same attack patterns tracked in the incident database.