Paste a username, bio and recent posts — we estimate bot/fake likelihood from random usernames, promo bios and repetitive posts, with no model. A rough guide.
Paste a username, bio and recent posts — we estimate bot/fake likelihood from random usernames, promo bios and repetitive posts, with no model. A rough guide. Free with no sign-up, and the analysis runs inside your browser — files never leave your device. On our public gate (30 real + 52 AI images) it measured 96.3% at original quality and 91.5% on recompressed copies, with zero real photos confidently mislabelled as AI. Treat it as an indicator, not proof: the newest commercial generators evade every detector.
Estimate whether a social account is an automated bot or a fake account used for manipulation, from the characteristics of its username, bio and posting pattern — signals invisible if you only look at follower counts.
A username with a random digit string (user_837261), or a letter-number mix unrelated to a human name, can indicate a mass-created account. An empty bio — or, conversely, one filled only with hashtags, external links and promo copy — is also a signal.
Posting patterns matter too. Repeating the same phrase at short intervals, dropping links with no conversation, or activity locked to mechanically regular time windows all raise the odds of automation.
Signals from three axes — username, bio and posts — are combined into a "bot/fake likelihood" score. The more you fill in (all three fields), the steadier the read.
Do not conclude from a single signal. New accounts, or genuine promotional accounts, can show similar signs. Suspicion grows when several signals overlap.
Upload the profile photo to the image detector on the home page to check for AI generation. This tool handles text signals.
No. Early on there is simply little information and few signals. It is more accurate to re-check once an activity pattern builds up.