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AI Detection
I

isFake.ai

isFake.ai is an AI-powered deepfake and AI-generated content detector that analyzes videos frame-by-frame using multi-layer neural network classifiers to determine if content is real or synthetic. Unlike single-format detectors that only handle text or images, isFake.ai provides unified multi-modal detection across video, image, audio, and text in one platform, with explainable visual evidence including heatmaps, annotated waveforms, and per-frame probability scoring.

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In Plain English

isFake.ai is an AI-powered deepfake and AI-generated content detector that analyzes videos, images, audio, and text using multi-layer neural network classifiers to determine if content is real or synthetic. It offers a free tier with limited monthly scans and a Premium plan from $7.99/month with unlimited scans, detailed visual evidence breakdowns, and support for detecting outputs from major AI models including Sora, Midjourney, DALL-E, ChatGPT, and Claude.

OverviewFeaturesPricingUse CasesLimitationsFAQ

Overview

isFake.ai is a unified AI content authenticity platform designed to detect synthetic and AI-generated media across four major modalities — text, images, video, and audio — from a single web interface. Rather than forcing users to chain together separate tools for each format (one for AI text, another for deepfake video, a third for voice cloning), isFake.ai consolidates the entire detection workflow into one privacy-conscious environment that emphasizes explainability and visual evidence.

The platform's core differentiator is its commitment to showing why content was flagged, not just whether it was flagged. For text inputs, the AI Text Detector performs token-level probability analysis, highlighting suspicious fragments inline and producing per-paragraph AI probability scores so users can see exactly which sentences triggered the model. For images, the AI Image Detector applies pixel-level analysis to generate AI probability heatmaps that visually outline regions believed to be synthetically generated or manipulated. For video, the AI Video Detector breaks footage down frame-by-frame and overlays timeline markers identifying AI-generated scenes, making it possible to pinpoint deepfaked segments inside longer clips. For audio, the AI Audio Detector performs waveform analysis to surface voice-synthesis patterns characteristic of cloned or generated speech, with annotated waveform reports showing where synthetic artifacts appear.

Every scan produces a Detection Report with a headline probability score (e.g., "82% Likely AI-generated content") paired with a detailed breakdown view. The platform is explicit that detection is probabilistic and not 100% accurate, which is a refreshingly honest stance compared to competitors that imply binary certainty. isFake.ai has been quoted and featured in international media coverage of synthetic media and deepfake scams, including SecurityBrief UK, AI Journal, Dubawa, and TechEconomy, positioning it as a recognized voice in the broader AI-detection conversation. The site also publishes a library of 1,200+ real-world cases analyzed across all four modalities, giving prospective users transparent examples of how the detector behaves on actual content before they commit to a paid plan.

The product is built around a clipboard-first workflow — users can paste text with Ctrl+V or drag-and-drop a file — and offers an API tier for developers and enterprises that need to integrate detection into trust-and-safety pipelines, newsroom verification workflows, KYC/identity fraud screening, or content moderation systems. The freemium model lets casual users run a limited number of monthly scans at no cost, while a low-priced Premium tier ($7.99/month) unlocks unlimited scans and full access to the visual evidence layers (heatmaps, token highlights, annotated waveforms) that make the reports defensible when shared with stakeholders, editors, or legal teams.

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Key Features

Multi-Modal Detection Platform+

isFake.ai consolidates text, image, video, and audio AI detection into a single unified interface rather than requiring separate tools for each format. Users can paste text directly or upload files in formats including MP4, MOV, MP3, WAV, AAC, PNG, JPG, and WEBP. Direct URL imports from TikTok, YouTube, and Instagram allow social media content to be analyzed without manual downloading, reducing friction for journalists and trust and safety teams verifying viral content.

Explainable Visual Evidence+

Every detection result includes transparent, human-readable proof — pixel-level heatmaps for images, color-coded highlighted fragments for text, annotated waveforms for audio, and flagged frames with timeline markers for video. This explainability allows users to independently verify why content was flagged rather than relying on an opaque confidence score, making results more actionable for legal, editorial, and moderation decisions.

Token-Level Text Analysis+

The text detection engine goes beyond paragraph-level scoring by performing per-token probability analysis that highlights specific suspicious patterns associated with outputs from ChatGPT, Claude, Gemini, and other AI writing tools. This granularity helps educators and editors distinguish between fully AI-generated passages and sections where AI assisted human writing, reducing false positive rates on legitimately human-authored content.

Frame-Level Video Analysis+

Video detection analyzes content frame-by-frame to identify lip-sync errors, facial glitches, lighting mismatches, and temporal inconsistencies that characterize AI-generated video from tools like Sora, Runway, and Pika. Each frame receives an individual AI probability score and flagged frames are presented on a visual timeline with annotated markers, enabling precise identification of manipulated segments within longer videos.

Voice Cloning and Deepfake Audio Detection+

The audio detection module uses waveform analysis to identify synthetic speech, voice manipulation, and audio deepfakes across MP3, WAV, and AAC files. It is designed to catch AI voice cloning in calls, voicemails, podcasts, and other audio content, with annotated waveform visualizations that highlight the specific spectral anomalies indicative of synthetic generation or post-processing manipulation.

Pricing Plans

Free

$0

  • ✓Limited monthly scans across text, image, video, and audio
  • ✓Access to detection report with top-line probability score
  • ✓Browse the public library of analyzed cases
  • ✓Basic visual evidence preview

Premium

$7.99/month

  • ✓Unlimited scans across all four modalities
  • ✓Full pixel-level heatmaps for images
  • ✓Token-level text probability highlighting
  • ✓Annotated waveform reports for audio
  • ✓Frame-level timeline markers for video
  • ✓Priority processing for faster results on long uploads

Enterprise

Custom

  • ✓API access for programmatic detection
  • ✓Custom volume pricing
  • ✓SLA guarantees
  • ✓Integration support for trust-and-safety, moderation, and verification pipelines
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Best Use Cases

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A journalist receives a viral video clip alleging political corruption and needs to verify whether the footage is genuine or AI-generated before publishing, using frame-level analysis to check for lip-sync errors and temporal inconsistencies that indicate synthetic manipulation by tools like Sora or Runway

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A university educator screens a batch of student essays for AI-generated content, using per-paragraph probability highlighting to identify specific sections that may have been written by ChatGPT or Claude while avoiding blanket false accusations by reviewing the token-level evidence breakdown

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A trust and safety team at a social media company verifies user-reported deepfake videos by importing content directly via TikTok or YouTube URL and reviewing the confidence scores and visual evidence before making takedown decisions or escalating to legal review

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A legal or compliance professional authenticates digital media submitted as evidence by reviewing the detailed artifact breakdown and heatmaps to assess whether images or audio recordings have been synthetically generated or manipulated, supporting chain-of-custody documentation with exportable detection reports

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A brand protection analyst monitors for AI-generated impersonation content — such as cloned executive voice recordings or fabricated product images — and uses waveform analysis and pixel-level heatmaps to determine authenticity before issuing takedown requests

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A student runs their own written essay through isFake.ai before submission to identify passages that might inadvertently trigger institutional AI detection tools, catching potential false positives and rephrasing flagged sections to ensure their original work is not misclassified

Limitations & What It Can't Do

We believe in transparent reviews. Here's what isFake.ai doesn't handle well:

  • ⚠Detection accuracy is reduced on heavily edited AI content and mixed human-AI rewrites where synthetic text has been manually revised or blended with human writing
  • ⚠Very short text samples provide insufficient signal for reliable analysis — the platform works best on longer-form content like essays, articles, and reports
  • ⚠Low-resolution and heavily compressed video or images degrade detection confidence as compression artifacts can mask or mimic AI-generated patterns
  • ⚠Results are probabilistic confidence scores, not definitive determinations — the platform cannot confirm authorship or verify the intent behind content creation
  • ⚠The platform may lag behind the very latest generative model releases, as training classifiers on new model outputs requires time to collect samples and retrain detection networks

Pros & Cons

✓ Pros

  • ✓Unified multi-modal detection across text, image, audio, and video eliminates the need for separate specialized tools for each content type — a rare capability among the AI-detection tools in our directory
  • ✓Explainable results with visual evidence — heatmaps, highlighted text fragments, annotated waveforms, and flagged video frames — let users verify findings independently rather than trusting a black-box score
  • ✓Token-level and frame-level granularity provides per-paragraph, per-pixel, and per-frame probability scores instead of a single binary real-or-fake verdict
  • ✓Low entry price starting at $7.99/month for the Premium plan with unlimited scans makes it accessible for students, educators, and individual professionals
  • ✓Direct URL import from TikTok and YouTube reduces friction for verifying social media content without manual downloading
  • ✓Trained on outputs from a wide range of current generative models including ChatGPT, Claude, Gemini, Midjourney, Stable Diffusion, DALL-E, and Sora, with over 1,200 real-world test cases used to benchmark classifier accuracy and coverage featured in SecurityBrief UK and other industry publications

✗ Cons

  • ✗Detection accuracy decreases on heavily edited AI content, mixed human-AI rewrites, very short text samples, and low-resolution video, as acknowledged on their own website
  • ✗Results are probabilistic confidence scores, not definitive authorship confirmation — the platform explicitly notes detection is not 100% accurate
  • ✗Relatively new entrant in the AI detection space with limited independent third-party accuracy benchmarks or peer-reviewed validation studies
  • ✗Free tier scan limits may be too restrictive for professional or high-volume use cases, pushing users toward paid plans quickly
  • ✗Cannot reliably verify intent behind content creation — a high AI probability score does not confirm whether content was generated maliciously or used appropriately

Frequently Asked Questions

What types of content can isFake.ai detect?+

isFake.ai supports four modalities in a single interface: AI-generated text (with token-level probability highlighting), AI-generated or manipulated images (with pixel-level heatmaps), deepfake or synthetic video (with frame-level timeline markers), and AI-generated audio such as voice cloning (with annotated waveform analysis).

How accurate is isFake.ai, and can I rely on its verdict?+

The platform is explicit that detection is probabilistic and not 100% accurate. Reports show a confidence percentage (e.g., 82% likely AI-generated) plus detailed evidence, but high-stakes use cases — legal disputes, publication decisions, fraud accusations — should combine isFake.ai's output with human review and additional context rather than treating any score as definitive.

What's the difference between the Free and Premium plans?+

The Free tier provides limited monthly scans across all four content types so users can evaluate the tool. Premium ($7.99/month) unlocks unlimited scans, priority processing for faster results on long videos, and full access to the detailed visual evidence layers — pixel-level heatmaps, token-level text analysis, and annotated waveform reports — that make findings defensible when shared with others.

Does isFake.ai offer an API for developers or enterprises?+

Yes. An API is available, and enterprise plans provide custom volume pricing along with SLA guarantees. This makes isFake.ai usable inside trust-and-safety pipelines, newsroom verification workflows, KYC/identity fraud screening, or automated content moderation rather than only as a manual web tool.

How does isFake.ai compare to single-format detectors like GPTZero or Deepware?+

Single-format tools tend to be deeper in one modality — GPTZero is widely adopted for AI text in academia, and Deepware focuses specifically on deepfake video. isFake.ai's value proposition is breadth and unified reporting: one account, one report format, and one billing relationship covering text, image, video, and audio, with consistent explainable visual evidence across all four.
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What's New in 2026

As of 2026, isFake.ai is positioning itself as a unified multi-modal alternative to fragmented single-format detectors. The platform highlights a growing public library now exceeding 1,200 analyzed real-world cases spanning text, image, video, and audio, and has expanded its media presence with features and quotes in SecurityBrief UK, AI Journal, Dubawa, and TechEconomy on synthetic media and deepfake scams. The product continues to emphasize explainable detection — pixel-level heatmaps, frame-level timeline markers, token-level text highlights, and annotated waveform reports — at a time when generative video and voice-cloning tools are increasingly mainstream, and offers API access for organizations integrating detection into trust-and-safety and verification workflows.

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Quick Info

Category

AI Detection

Website

isfake.ai
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