Early access
AI-powered forensics that verifies images, videos, screenshots and documents in seconds. Built for the people AI manipulation actually targets, not just cybersecurity labs.
Sora, VEO, Midjourney and watermark-removal tools have made manipulation instant and invisible. Existing AI detectors only catch the narrow slice they were trained for: AI faces, deepfake audio, generated images. They miss the content that actually does damage in ordinary life: a forged UPI payment slip, an edited WhatsApp screenshot, a fabricated school notice.
The world built tools that can generate anything. Nobody built the tool that can verify anything.
TrustLens closes that gap with a multilayer forensic engine: classical vision forensics, AI artifact detection, structural document analysis and origin-path reconstruction. Built for students, teachers, small sellers, and anyone who's ever squinted at a screenshot wondering if it's real.
01. Real or fake, in secondsScan
Authenticity score plus anomaly highlights: lighting, shadows, pixel artifacts, text inconsistencies.
- Error Level AnalysisMeasures compression difference to isolate edited regions
- Chromatic aberration checkReal camera lenses fringe slightly; edits break the pattern
- FFT texture analysisCatches repeating AI-style textures in the frequency domain
- Illumination field estimationChecks whether lighting and shadows match physical reality
Most detectors stop at a real/fake label. This is the layer underneath it: the evidence, not just the verdict.
02. How was this actually made?Trace
Reality Trace reconstructs the most probable creation history of a file, step by step.
- CameraOriginal capture, EXIF-consistent
- EditCompression-layer jump detected
- AI passDiffusion fingerprint present
- Resave, then screenshotInterpolation artifacts, screenshot lineage confirmed
“AI or not” is the wrong question for most real-world fakes. Most damage comes from content that is part real, part edited, part AI-touched-up. Reality Trace answers the actual question.
03. What happens if this is trusted?Risk
TruthScore+ rates real-world consequence, not just authenticity.
- Fake UPI payment slipHigh, financial
- Fake school noticeMedium, institutional
- AI-generated videoHigh, reputation
- Fake chat screenshotMedium, social
A fake UPI slip and a fake meme aren't the same threat. TruthScore+ explains the danger, not just whether something's doctored.
04. Does this exist anywhere else?Shield
Source Match Shield cross-checks templates, formats and public sources before anything gets trusted.
- Perceptual hashingpHash similarity against known content
- Reverse image and video searchChecks for prior public appearance
- Template matchingUPI slips, notices, receipts against reference formats
- OCR keyword indexingCross-references extracted text against known formats
If content can't be matched to anything real, it doesn't get the benefit of the doubt.
TrustLens isn't positioned as another AI detector. It's the category underneath: classical forensic imaging, statistical analysis, AI artifact detection, template matching and risk scoring, brought together for people who aren't cybersecurity researchers.
The world is busy building swords. TrustLens is building the shield.
Digital forensics, for everyone.
TrustLens is in early access. The core forensic engine is being built layer by layer, and this case study tracks the real architecture, not a pitch.