Deepfake Detector - AI-powered deepfake detection for audio video images

What is Deepfake Detector

The phone rings at 11 PM. It's your mother's number. Her voice sounds terrified: "Something terrible happened. I need money right away. Don't tell anyone." Your heart drops. You wire $5,000 within the hour—only to discover hours later that your mother is safe at home. That call never came from her. It was a deepfake.

This isn't science fiction. It's happening right now to thousands of people every month.

Deepfake technology has become a weapon in the hands of scammers. Using sophisticated AI, criminals can now clone anyone's voice from just a few seconds of audio, create fake videos that look completely real, and generate artificial images of people who never existed. The financial toll is devastating—corporations have lost $256 million in a single deepfake fraud incident.

Whether you're an individual worried about voice cloning scams targeting your family, a business concerned about financial fraud, or an organization needing to verify media authenticity, you now have a powerful ally: Deepfake Detector.

Your Shield Against Synthetic Media Fraud

Deepfake Detector is an advanced AI security platform designed to identify manipulated audio, video, and images with 95% accuracy. Our sophisticated AI engine analyzes subtle patterns and anomalies that the human eye and ear simply cannot detect—unnatural pauses in speech, inconsistent audio frequencies, manipulated facial features, irregular lighting in video frames.

What sets us apart is our comprehensive approach. Unlike tools that only check one format, we protect you across all three media types: audio, video, and images. Our integrated AI noise reduction removes background interference to ensure detection accuracy even in less-than-ideal recording conditions. And with multi-language support, we help businesses operating globally detect deepfakes across different languages and accents.

We're not just another security startup. Our track record speaks for itself: over 1,000 satisfied customers have trusted us to analyze more than 15,000 pieces of content across 8 different industries. Our 10-person expert team, based in the heart of London, has been featured in major US news outlets for our pioneering work in AI-powered authenticity verification.

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Core Features: How Deepfake Detector Protects You

Every feature we build starts with a simple question: what problem does this solve for our users? Here's how our core capabilities translate into real protection.

Audio Deepfake Detection

Voice cloning has become the scammers' favorite tool. They need just 3 seconds of audio to replicate someone's voice with alarming accuracy. Our audio detection system uses multi-layered AI analysis to identify the telltale signs: unnatural pauses, inconsistent tonal patterns, background noise manipulation, and synthetic speech artifacts that hint at AI generation.

When you upload an audio file—whether it's a suspicious voicemail, a recorded meeting, or a phone call you received—our system doesn't just give you a yes/no answer. It provides a detailed probability breakdown with confidence scores, giving you concrete data to decide whether to investigate further, report the incident, or proceed with confidence.

The performance speaks for itself: 95% accuracy in identifying AI-generated or manipulated audio. For personal users, this means verifying those emergency calls from "family members." For businesses, it means validating conference call participants before authorizing financial transactions.

Video Deepfake Detection

Video is where deepfakes become truly frightening. A fake video of a CEO announcing a major financial decision can move markets. A fabricated video of a politician can sway elections. Our video analysis engine examines every frame, looking for inconsistencies in facial movement, unnatural blinking patterns, irregular lighting, and subtle artifacts around the edges of manipulated faces.

This isn't something the human eye can do reliably—deepfakes have become too sophisticated. But our AI has been trained on millions of samples and can spot the anomalies that escape human notice.

Image Deepfake Detection

AI-generated images are everywhere—from completely fabricated photos of events that never happened to synthetic faces used for identity fraud. Our image detection analyzes skin texture inconsistencies, unnatural lighting and shadows, irregular pixel patterns around facial boundaries, and other markers that betray AI-generated content.

For organizations that rely on visual media—whether news agencies verifying submitted photos, financial institutions checking identity documents, or HR departments validating candidate photos—our image detection provides an essential layer of verification.

AI Noise Reduction

Here's a problem most detection tools ignore: background noise. Scammers deliberately add background noise to their deepfakes to confuse other detection systems. We've built that challenge into our solution with an integrated AI noise reduction feature.

Our smart noise reduction algorithm intelligently removes background interference—traffic sounds, ambient chatter, static—while preserving the integrity of the audio itself. This means even if you're analyzing a recording made in a noisy environment, you get accurate detection results. This feature alone gives us a significant edge over competitors who require pristine recordings.

Multi-Language Detection

In our interconnected world, deepfake scams cross borders—and so does our protection. Our AI models support multiple languages and accents, meaning a Chinese-language voice deepfake targeting a London-based business gets the same rigorous analysis as an English-language scam call.

This matters particularly for multinational corporations where financial transactions are authorized based on calls or video conferences in multiple languages. Our system doesn't just detect the deepfake; it understands the linguistic context to provide accurate results regardless of language.

Chrome Browser Extension

You shouldn't need to visit a website every time you want to verify something. Our Chrome browser extension brings deepfake detection directly to your browser, so you can analyze audio and video content while you browse—perfect for verifying media before sharing, checking suspicious links, or quick checks during research.

API Integration

For enterprises that need to verify content at scale—media companies processing user-submitted videos, financial institutions validating video conference recordings, or platforms screening content—our RESTful API enables seamless integration into your existing workflows. Batch processing, automated analysis, and integration with your content management systems all become possible.

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Who Is Using Deepfake Detector

Our users fall into distinct categories based on their needs. Here's where you might see yourself:

Scenario 1: Personal Voice Scam Protection

The problem: You receive a call from a number you recognize—your nephew's. His voice sounds distressed: "Aunt Sarah, I've been in an accident. I need $2,000 wired immediately. Please don't tell mom and dad—they'll be so upset." The voice sounds exactly like him. The panic in his voice feels real.

This is a real scenario that played out in Hyderabad, India—a woman lost $1,688.58 to scammers who used AI to clone her nephew's voice. The call came late at night, the "nephew" insisted on secrecy, and the request was urgent. Classic deepfake scam markers.

The solution: Before wiring any money, upload the voice recording (or a sample) to Deepfake Detector. Our system analyzes the audio for AI generation patterns and gives you a probability score. If the analysis shows high confidence that the voice is synthesized, you know it's a scam—even if it sounds exactly like your loved one.

The result: Financial safety. Emotional peace of mind. No $1,688 loss.

Scenario 2: Corporate Financial Fraud Prevention

The problem: A finance employee at a multinational company receives an email from the CFO—actually from a deepfake video call they had earlier that day requesting an urgent wire transfer. The "CFO" appeared on a video call, discussed the "acquisition," and asked for immediate action. The employee transferred $25.6 million.

This isn't hypothetical. It happened. A major corporation lost $256 million in a single deepfake fraud incident.

The solution: Organizations can integrate our API directly into their communication systems or use our browser extension to verify the authenticity of any audio or video before acting on requests—especially financial ones. Every video call recording, voice message, or audio instruction can be checked before funds are transferred.

The result: Prevention of losses that can reach $256 million. A single verification before that wire transfer could have saved the company tens of millions.

Scenario 3: Ransom Call Verification

The problem: You receive a terrifying phone call: "Your daughter has been in an accident. We have her. Send $1 million or we'll hurt her." The voice sounds exactly like your daughter. She's not answering her phone. The panic is overwhelming.

This happened to Jennifer DeStefano in Arizona—she received a call demanding $1 million for her daughter's "release," with her daughter's voice clearly on the line. It was a deepfake voice cloning scam. Her daughter was safe at a friend's house the entire time.

The solution: If you receive any call making demands—especially involving money and threats—stay calm. Don't respond immediately. If you can, use Deepfake Detector to analyze the call. Even a short sample can reveal whether the voice is AI-generated. Meanwhile, try to contact your family member through another channel.

The result: Avoid paying fake ransom. The emotional cost of a near-scam is far less than the financial and psychological devastation of actually paying.

Scenario 4: Enterprise Batch Content Verification

The problem: Your media company receives hundreds of user-submitted videos daily. Some are authentic news footage. Others are AI-generated fabrications designed to spread misinformation. Your team can't manually review everything at scale.

The solution: Our API integration enables automated batch processing. Connect our detection engine to your content submission pipeline. Every piece of media gets analyzed automatically before publication or distribution. Suspicious content gets flagged for human review.

The result: Scale your verification operations without scaling your team. Process thousands of submissions with consistent accuracy.

Scenario 5: News Media Verification

The problem: A news organization receives a dramatic video showing a political figure making a controversial statement. The video is already circulating on social media. Your deadline is in two hours. Is it real?

The solution: Upload the video to Deepfake Detector. Our system analyzes the footage frame by frame, checking for deepfake manipulation. Within minutes, you have a probability assessment to inform your editorial decision—whether to run the story with appropriate caveats, investigate further, or debunk entirely.

The result: Reputation protection. Avoid the massive damage of spreading deepfake news—damage to your credibility that takes years to rebuild.

Scenario 6: Legal Evidence Verification

The problem: Law enforcement or legal teams need to verify whether audio or video evidence submitted in a case is authentic. Could it have been manipulated? Is it a deepfake designed to frame someone?

The solution: Our detailed analysis reports provide probability breakdowns and confidence scores suitable for investigative and legal purposes. The quantitative data helps forensic teams assess evidence authenticity systematically.

The result: Reliable evidence assessment. Courts and investigators get objective data to support fair outcomes.

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Quick Start: Begin Protecting Yourself in Minutes

Getting started with Deepfake Detector is straightforward. Here's how to go from sign-up to your first analysis in under five minutes:

Step 1: Create Your Account

Visit deepfakedetector.ai and click "Get Started." Enter your email, create a password, and verify your email. Our registration process is simple—no credit card required for the free initial exploration.

Step 2: Upload Your Media

Once logged in, click "New Detection" and drag-and-drop your file. We support:

• Audio formats: MP3, WAV, OGG, M4A (up to 10 minutes)
• Video formats: Standard formats including MP4 and MOV
• Image formats: JPG, PNG, and other common image files

For best results, use the highest quality recording available. If you're working with audio that has background noise, use our AI noise reduction feature before detection.

Step 3: Get Your Results

Within minutes, you'll receive a detailed analysis report showing:

• Authenticity probability: What's the likelihood this is genuine vs. AI-generated?
• Confidence score: How confident is our system in this assessment?
• Detailed breakdown: Specific markers detected (unnatural patterns, artifacts, etc.)

The probability breakdown helps you decide your next steps—for personal peace of mind, legal evidence, or business decisions.

Step 4: Install Chrome Extension (For Ongoing Protection)

For everyday protection:

1. Visit our Chrome extension page in the Chrome Web Store
2. Click "Add to Chrome"
3. Once installed, you can right-click any audio or video on the web and select "Analyze with Deepfake Detector"

This is perfect for quick checks before sharing content, verifying media during research, or on-the-fly verification.

Step 5: API Integration (For Enterprises)

If you're integrating into business systems:

1. Navigate to "API Settings" in your dashboard
2. Generate your API key
3. Consult our documentation for integration endpoints
4. Connect to your workflow (batch processing, content management, etc.)

Our support team is available to assist with integration—we provide dedicated engineering support for enterprise customers.

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Pricing Plans: Protect Yourself at the Right Level

We believe deepfake protection should be accessible. Here's our straightforward pricing:

The Real Cost of Not Protecting Yourself

Consider this: the average deepfake fraud against businesses costs $480,000. Individual victims lose an average of $4,000 to voice cloning scams. Our plans start at less than $17 per month—less than a Netflix subscription.

For $16.80 per month, you get:

• Full access to our audio, video, and image detection engines
• AI noise reduction for accurate results even with imperfect recordings
• Chrome browser extension for quick, everyday verification
• Detailed probability reports with confidence scores
• Multi-language support for global operations

Payment security: All transactions processed securely through Stripe. Cancel anytime—no questions asked, no hidden fees.

Enterprise Value

For larger organizations, we offer custom pricing that includes:

• API integration with dedicated engineering support
• Custom workflows tailored to your specific needs
• Volume pricing for high-volume processing
• Dedicated account management for seamless experience
• SLA guarantees for mission-critical operations

Our enterprise team will work with you to design a solution that fits your specific use case and scale.

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Frequently Asked Questions

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Start Protecting Yourself Today

The deepfake threat is real, it's growing, and it's already costing people and businesses millions. But you don't have to be a victim.

Deepfake Detector gives you professional-grade protection that's accessible whether you're an individual concerned about voice scams targeting your family, or an enterprise needing to verify thousands of media files daily.

Your next step: Visit deepfakedetector.ai to create your account and run your first detection. For enterprise inquiries, reach out for a custom consultation.

The best time to start protecting yourself was yesterday. The second best time is now.