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.
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.
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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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.
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.
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.
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.
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.
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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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