DeepFake Detector

AI-powered deepfake image detection.

3.5/ 5

About DeepFake Detector

AI-powered deepfake image detection.

DeepFake Detector is listed under AI Detection. Use this page to quickly understand what it does, compare it with related tools, and jump to the official website when you are ready to evaluate it.

Pricing Plans

Monthly and annual billing are shown separately

DeepFake Detector uses a freemium model. Exact figures per the vendor and review aggregators:

Free tier

Free $0

a limited number of uploads per day/month for casual, individual verification with standard detection quality. Enough for spot-checking suspicious content.

Enterprise

Custom Contact sales

custom contracts for newsrooms, media organizations, and regulated industries, covering bulk scanning, webhook integration, private deployment, and compliance reporting. Contact sales for pricing.

A review roundup (ToolChase) scored the product 4.3/5 and confirmed a free tier with limited daily uploads plus paid monthly plans; a separate aggregator (OpenTools) cites a 92% model accuracy.

Prices can change. Confirm current pricing on the tool's official website.

DeepFake Detector Review

A practical review based on pricing, features, strengths, limitations, and ideal users.

Overview

DeepFake Detector is a web-based tool for checking whether an image, video, or audio clip has been manipulated with AI. It targets the growing problem of synthetic media — face-swapped videos, AI-generated images from models like Stable Diffusion, Midjourney, or DALL-E, and cloned voices. You upload a file through its web interface and the service runs it through multiple detection models trained on known deepfake datasets, then returns a confidence score indicating how likely the content is synthetic. The tool is positioned for journalists verifying viral media before publication, trust-and-safety and HR teams screening incoming content, dating-app users validating profile photos, and anyone who wants a second opinion before sharing something questionable. It is operated at deepfakedetector.io.

Key Features

  • Image deepfake detection (face swaps and AI-generated images)
  • Video manipulation analysis with frame-by-frame scoring
  • Audio/voice-clone detection
  • Confidence scores and a transparent AI/Human verdict
  • API access on paid tiers for embedding into moderation pipelines
  • Bulk upload for teams processing many files
  • Regular model updates as new generation techniques emerge
  • Simple web interface for non-technical one-off checks
  • Chrome-extension option to scan media found while browsing

Pros

Based on ToolChase's independent review and FAQ:

  • Covers images, video, and audio in a single tool — convenient multi-modal checking
  • Regularly updated to keep pace with new AI generation methods
  • Free tier is enough for individuals verifying occasional suspicious media
  • API access lets trust-and-safety teams automate scanning at scale
  • Approachable, near-zero learning curve for the web UI

Cons

Based on the same review:

  • No detector is 100% accurate; false positives and false negatives occur
  • It is an ongoing cat-and-mouse game, always trailing the newest generators
  • Less accurate on older, low-resolution, or heavily compressed media
  • Paid plans are needed for volume, API, and advanced models
  • Results should be one signal among several, not a definitive verdict

Who It's For

DeepFake Detector is for journalists, trust-and-safety teams, HR/recruiting, and privacy-conscious individuals who need a quick authenticity check on media before they act on or share it. It is not for anyone who expects absolute certainty — human review remains essential for high-stakes calls.

Verdict

DeepFake Detector is a genuinely useful, accessible second opinion for suspicious images, video, and audio, with a usable free tier and API-powered paid plans for teams. Treat its scores as a strong signal rather than proof, and pair it with source-checking and human judgment. For casual and mid-sized verification needs it is an easy, low-friction starting point.

Category Context

Detect AI-generated text, images, plagiarism, deepfakes, and content authenticity signals.

There are 59 tools in AI Detection on AI List 101.

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