Is it real, or made by AI?
Drop a photo, video or audio file, or paste text. GPTTrace reads its Content Credentials and metadata, runs forensic and neural checks, and explains every signal it finds — all inside your browser.
Free · no sign-up · your file never leaves your device
Drop an image, click to choose, or paste
JPEG · PNG · WebP · AVIF · HEIC (Safari) — checked on your device
Your text, with the signs marked
Hover a highlight to see which sign it matched. Invisible characters are shown as labelled boxes.
Drop an audio file or click to choose
MP3 · WAV · M4A · FLAC · OGG · Opus — the first 60 seconds are analysed on your device
Drop a video or click to choose
MP4 · MOV · WebM — 8 frames are sampled and checked on your device
Four detectors, one private page
Most AI detectors ask you to upload a file to someone else’s server. GPTTrace does the opposite: the detectors are downloaded to your browser and run there, so a private photo, an unreleased manuscript or a voicemail never leaves your device. That also means there are no queues, rate limits or sign-ups.
How GPTTrace decides
Evidence comes in three strengths, and the result tells you which kind it found.
1. Provenance — what the file says about itself
A growing share of AI output is labelled at the source. OpenAI, Adobe and Microsoft sign images with C2PA Content Credentials, and Google is adding them alongside its SynthID watermark; Google and Meta also add the IPTC digital source type “trainedAlgorithmicMedia”; local Stable Diffusion tools write their full prompt and settings into the PNG. When GPTTrace finds one of these it says so plainly, because the file is telling you where it came from.
2. Context — what is missing or out of place
A real phone photo almost always carries a camera make, lens, exposure and time. Generated images usually carry none, and often come in tell-tale sizes such as 1024×1024. These clues are suggestive rather than decisive: messaging apps strip metadata from real photos every day.
3. Content — what the pixels, sounds or words look like
When the file is silent about its origin, GPTTrace looks at the content itself: a neural image classifier, frequency-domain forensics, speech-signal statistics, or the vocabulary and rhythm of a text. These checks are probabilistic, so the result is an estimate with a confidence level and a list of the reasons behind it.
The estimate is a calibrated combination of all three, tuned on labelled data so that it rarely accuses real work. You can read the full method, data sources and measured accuracy on the methodology page.