Lens — AI Image Detector

iOS App

Seeing through AI-generated images.

Lens analyses every image on any webpage and tells you whether it was AI-generated — right where you browse. No uploads. No account. No tracking.


How it works

When you visit a page, Lens quietly checks every image in the background. It runs up to four detection passes, stopping as soon as it has enough confidence.

1. URL & filename recognition

Recognises origin patterns from OpenAI, Midjourney, Adobe Firefly, Stability AI, xAI, Bing Image Creator, and a dozen other services — a dead giveaway before even looking at pixels.

2. C2PA metadata

Many AI tools embed machine-readable provenance using the C2PA Content Credentials standard. ChatGPT, Adobe Firefly, and Bing Image Creator all do this. Lens reads these credentials directly.

3. Pixel statistics

When metadata has been stripped, Lens analyses noise patterns, gradient smoothness, and inter-block noise correlation. Real photographs have distinctive sensor fingerprints. AI images don’t.

4. Frequency watermarks

Some AI systems embed invisible watermarks using spread-spectrum techniques. Lens uses FFT-based analysis to detect these, including signals consistent with Google SynthID.

What you see

Results appear as a small badge overlaid on each image. Hover to see exactly what was detected, the confidence weight, and which detection layer caught it.

🔴AI Generated (≥90%) — strong evidence from verified metadata or watermark 🟠Likely AI (≥70%) — multiple corroborating signals 🟡Possible AI (≥45%) — one or more weak signals 🟢Probably Real (≥20%) — very low signal, likely a false alarm 🔵No AI signals — nothing detected

No uploads

Images are analysed in your browser. Nothing is sent to any server — ever.

No account

No email. No sign-up. Install and it works — that’s it.

No telemetry

No analytics, no tracking, no data brokers. Image bytes are discarded immediately after analysis.

Open source

Every line of detection logic is on GitHub. Audit it, verify our claims, or contribute.

Fully open source · MIT licensed

Source code on GitHub. Read it, audit it, contribute.

View on GitHub →

Work with The VGER Group

AI, data, and software engineering expertise.