Master isFake.ai with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make isFake.ai powerful for ai detection workflows.
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).
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.
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.
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.
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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Tutorial updated March 2026