Mission
Make synthetic media obvious. 3Truth turns detector output into readable forensic reports so people can act on results — reject, revise, or approve with confidence.
We build multi-modal AI detection so editors, educators, and security teams can verify text, images, and video before they ship — with evidence, not guesses.
Make synthetic media obvious. 3Truth turns detector output into readable forensic reports so people can act on results — reject, revise, or approve with confidence.
Separate specialists for text, image, and video — then fusion that weighs evidence quality. No single weak signal is allowed to invent a confident verdict.
Newsrooms, classrooms, legal review, trust & safety, and anyone who needs a second opinion on AI-generated or manipulated content.
Every scan is more than a label. You get probabilities, segment-level text analysis, image/video forensics, and a report you can export — so the “why” travels with the result.
Stylometry, burstiness, phrase patterns, and Arabic / mixed-language support for essays, articles, and drafts.
Pixel and metadata inspection for AI renders, deepfakes, and manipulated photos — with provenance cues in the report.
Temporal frame analysis for synthetic motion, face swaps, and AI-generated sequences — not a single keyframe guess.
Evidence families combine with quality bounds so low-quality signals cannot manufacture false certainty.
Text, image, and video pipelines run independently so each modality gets the right features and thresholds.
Reports surface reasons, warnings, and confidence — including when the system is unsure.
We document what the product does today (and what it does not) so plans, docs, and UI stay aligned with reality.
Scans stay tied to your account under row-level security. Your history is not a public leaderboard.
Drop text, an image, or a video and read the forensic breakdown.