Free tool · Instagram · no sign-up
Free Instagram fake follower checker
We sample the newest followers of any public Instagram account and score each one on the signs of a bought or bot follower: no photo, no name, a machine-made username. You get an estimated fake share and an audience quality score.
Public data only, fetched live and kept for three days. To have a profile excluded, email hello@sup.co.
Method
How we check for fake followers
Drawn from the newest followers Instagram will show us, which is where a bought batch lands.
Instagram shows outsiders a pool of roughly 100 recent followers for any account. We pull that pool, open up to 60 of the profiles in full, and score each one. Some signals sit in the follower list itself: no profile photo, no display name, a username that is mostly digits or has no vowels. The stronger ones need the profile: no posts, no bio, under 10 followers, or following 1,500 or more accounts while almost nobody follows back. Each signal carries a weight, a real footprint takes weight off, and the total puts the follower in one of five groups. The fake share is suspicious plus bot-like.
No profile photo (2 points)
Instagram’s own flag for an account that never uploaded a picture. The single strongest signal, and the one bot sellers rarely bother to fix.
Machine-made username (1.5 points)
Forty percent digits or more, or eight letters with no vowel. Real people pick names they can say out loud.
Follow farm (1.5 points)
Follows 1,500 or more accounts while fewer than 300 follow back. That is what an account built to follow for money looks like.
No posts, no bio, under 10 followers (1, 0.5, 1)
Each is common on its own, so each carries little weight. Together they describe an account nobody made for a person.
No display name (1 point)
Most people fill this in. Bulk-made accounts leave it empty because a script has nothing to write.
A real footprint (minus 1.5)
Five or more posts takes a point off and a hundred or more followers takes half a point off. A real lurker with a photo and a name never crosses the line.
Three and a half points or more is bot-like. Two to three and a half is suspicious. Real accounts that follow 1,500 or more others are counted as mass followers: real people, but a post from this creator is one of hundreds in their feed, and Modash and HypeAuditor separate them for the same reason. Real accounts with 1,000 or more followers are notable. We then read the creator’s own profile for the things bought followers do to it: an engagement rate below the bottom quarter for its size, more accounts followed than followers, and very thin comments next to the likes. Those adjust the audience quality score, which starts from the share that looks real.
Sixty is a real sample but not a large one. The result shows a margin either way, and a single check should be read as a screen, not a verdict. If a creator matters to your campaign, run it again in a week: bought followers arrive in batches, and the pool will have moved on. We do not show usernames in full. An empty account can belong to a real person who never posts, and we will not publish their handle under that label.
Benchmarks
What a typical fake follower rate looks like
There is no clean benchmark for fake followers, because every tool defines fake differently and none of them can see what Instagram sees. What we can say from checking accounts every week is this.
Under 15%: clean
Normal for an organic audience, which always picks up some empty and abandoned accounts. Nothing to ask about.
15% to 30%: typical
Common on larger accounts, on anyone who has run a giveaway, and on accounts that were featured somewhere and picked up a wave of low-effort follows.
30% to 45%: elevated
Needs an explanation. Ask the creator whether they ran giveaways or paid promotions, and look at the engagement rate for the size.
Over 45%: high
Usually means followers were bought at some point, even if it was years ago by a previous manager. Price on the real audience or walk away.
Very large accounts collect bots whether or not anyone bought them, because bot networks follow famous names to look real. So from one million followers the bands above sit five points higher. A celebrity at 25% is unremarkable. A 20k account at 25% is a question.
Do it yourself
How to spot fake followers without a tool
Open the follower list
Scroll the newest followers. Fake accounts have no photo, a gibberish username, no bio and few or no posts of a real person.
Read the comments
Real audiences write about the post. Bots write “nice”, “great”, and a row of emoji, often within a minute of posting.
Compare likes with views
A Reel with 100,000 views and 800 likes is normal. A Reel with 2,000 views and 3,000 likes has bought likes.
Look at the growth curve
Bought followers arrive as a cliff, then a flat line. Real growth is a slope with bumps where a post travelled.
Check the ratio
An account with 40k followers that follows 7k is following back for follows. It is not fake, but it is not an audience either.
Ask for insights
A screenshot of the creator’s own audience insights shows country, age and gender in a way no outside tool can. It takes them a minute.
In practice
Should you work with a creator who has fake followers?
It depends what you are paying for. If you pay for views on a Reel, the bots are irrelevant, because views come from the algorithm and not from the follower list. If you pay for reach into a follower base, every fake follower is a percentage off the fair price.
We usually do three things. Price the deal on the real audience, not on the follower count. Ask for the creator’s own audience insights, which show where the followers live and how old they are. And prefer a slightly smaller creator with a clean audience over a bigger one with a question mark, because the smaller one is the better buy far more often than not.
FAQ
Fake follower questions
An account that follows a creator without a person behind it who will ever see the content. Bots made to sell in bulk, abandoned accounts that were sold on, and profiles created only to follow back. They inflate the follower count and nothing else.
It pulls the newest followers Instagram will show us, around 100, opens up to 60 of their profiles, and scores each on the signals every serious tool uses: no profile photo, no posts, no bio, no display name, a machine-made username, under 10 followers, and following 1,500 or more accounts with almost no followers of their own. A real footprint, five or more posts or a hundred or more followers, pulls the score back down. Followers scoring high are bot-like, mid-range are suspicious, and the fake share is those two groups together.
Instagram shows outsiders a pool of roughly 100 recent followers per account, and no more, so that is the sample we draw from. We open up to 60 of those profiles in full. Sixty fully read profiles beat five hundred usernames, because post count and following count are the signals that separate an empty account from a shy one. The result shows a margin either way, and a second check a week later draws a fresh sample.
Every organic audience picks up some empty accounts and abandoned profiles, so a share under 15% on this tool is normal. Between 15% and 30% is common on larger accounts and on anyone who has run a giveaway. Above 30% needs an explanation, and above 45% usually means followers were bought at some point.
Yes, and it will be. A real person who has no photo and no display name scores the same as a bot. That is why usernames on the result are masked and why the score is a screen, not a verdict. It is the pattern across the sample that tells you something, not any one row.
It starts from the share of the sample that looks real, takes off half the share that are mass followers (real people following 1,500 or more accounts, who rarely see any one post), then takes points off for things bought followers do to a profile: an engagement rate below the bottom quarter for its size, and an account that follows more people than follow it.
Open their follower list and scroll. Fake accounts have no photo, a gibberish username and no posts. Then read the comments under a few posts: real audiences write about the post, bots write “nice” and emoji. Finally compare likes with views on a Reel. A Reel with 2,000 views and 3,000 likes has bought likes.
It depends what you are paying for. If you pay for views on a Reel, bots are irrelevant, because views come from the algorithm and not the follower list. If you pay for reach into the follower base, every fake follower is a percentage off the fair price. Price on the real audience and ask for the creator’s own audience insights.
Yes. No sign-up and no email gate. Each visitor can run 20 checks an hour and 60 a day, and a repeat check on the same account within a week uses the stored sample. A fresh check takes about ten seconds because it opens sixty profiles.
What is a fake follower?
An account that follows a creator without a person behind it who will ever see the content. Bots made to sell in bulk, abandoned accounts that were sold on, and profiles created only to follow back. They inflate the follower count and nothing else.
How does this fake follower checker work?
It pulls the newest followers Instagram will show us, around 100, opens up to 60 of their profiles, and scores each on the signals every serious tool uses: no profile photo, no posts, no bio, no display name, a machine-made username, under 10 followers, and following 1,500 or more accounts with almost no followers of their own. A real footprint, five or more posts or a hundred or more followers, pulls the score back down. Followers scoring high are bot-like, mid-range are suspicious, and the fake share is those two groups together.
How many followers do you check?
Instagram shows outsiders a pool of roughly 100 recent followers per account, and no more, so that is the sample we draw from. We open up to 60 of those profiles in full. Sixty fully read profiles beat five hundred usernames, because post count and following count are the signals that separate an empty account from a shy one. The result shows a margin either way, and a second check a week later draws a fresh sample.
What percentage of Instagram followers are fake?
Every organic audience picks up some empty accounts and abandoned profiles, so a share under 15% on this tool is normal. Between 15% and 30% is common on larger accounts and on anyone who has run a giveaway. Above 30% needs an explanation, and above 45% usually means followers were bought at some point.
Can the tool be wrong about an individual follower?
Yes, and it will be. A real person who has no photo and no display name scores the same as a bot. That is why usernames on the result are masked and why the score is a screen, not a verdict. It is the pattern across the sample that tells you something, not any one row.
What is the audience quality score?
It starts from the share of the sample that looks real, takes off half the share that are mass followers (real people following 1,500 or more accounts, who rarely see any one post), then takes points off for things bought followers do to a profile: an engagement rate below the bottom quarter for its size, and an account that follows more people than follow it.
How can I tell if an influencer has fake followers without a tool?
Open their follower list and scroll. Fake accounts have no photo, a gibberish username and no posts. Then read the comments under a few posts: real audiences write about the post, bots write “nice” and emoji. Finally compare likes with views on a Reel. A Reel with 2,000 views and 3,000 likes has bought likes.
Should I work with a creator who has fake followers?
It depends what you are paying for. If you pay for views on a Reel, bots are irrelevant, because views come from the algorithm and not the follower list. If you pay for reach into the follower base, every fake follower is a percentage off the fair price. Price on the real audience and ask for the creator’s own audience insights.
Is this fake follower checker free?
Yes. No sign-up and no email gate. Each visitor can run 20 checks an hour and 60 a day, and a repeat check on the same account within a week uses the stored sample. A fresh check takes about ten seconds because it opens sixty profiles.
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