TikTok shadowban checker

Can a tool actually detect a TikTok shadowban?

No, and any page that tells you otherwise is guessing. TikTok publishes no data about whether your distribution is restricted. There is no endpoint, no public flag, no dashboard a third party can read. Tools that take your username and hand back a verdict are inferring from things anyone can see from the outside: whether you turn up in search, whether a hashtag page lists you, how your engagement ratios look this week. Those signals move constantly for perfectly healthy accounts, which is why outside-in checkers produce false alarms all day.

So this page does not scan anything. The checker above asks you about checks you can run yourself in roughly ten minutes, the ones that produce real information, and then reads your answers back as an explanation ranked by how well it fits. It runs in your browser. Nothing is uploaded, no account is needed, and there is nothing to connect.

What TikTok actually documents

TikTok has never used the word shadowban, and it has never confirmed the mechanic creators describe: a silent, account-wide, indefinite suppression applied without notice. Treat that as unconfirmed rather than disproven. The absence of a public statement is not evidence in either direction.

What is documented is narrower and considerably more useful. A video can violate community guidelines and be removed. A video can stay up and be marked ineligible for the For You feed, which cuts off most of its distribution while leaving it visible on your profile. Accounts that accumulate violations can face broader, temporary restrictions. And TikTok reports these back to you in the account status surface inside TikTok Studio, with the specific policy cited and an appeal option attached to the entry.

That is the whole documented surface. Everything else in circulation — the fixed 30-day timer, the secret hashtag blacklist, the advice to post at 6am to reset your standing — is folklore. Some of it may be true. None of it is checkable, and none of it should decide what you do next.

The only restriction data that exists for your account lives inside TikTok Studio. A shadowban checker that never asks you to open it is not checking anything.

The six checks this tool walks you through

Every one of these is something you can actually perform. One is authoritative, two are weak on their own, and three are about your own recent history. The value is in the combination: a single weak signal proves nothing, but four checks pointing the same direction usually mean something.

1. Account status in TikTok Studio

This is the authoritative check and the only place a real restriction shows up. Open TikTok Studio from your profile menu, or use the standalone Studio app, and find account status. The label shifts between app versions, but the surface has been stable for a while. It lists community guideline violations, removed videos, and posts marked ineligible for the For You feed, and it lets you appeal from the entry itself. If this comes back clean, you are almost certainly not restricted, and the remaining five checks exist to find the real cause.

2. Does the video appear in search when you are logged out?

Open a private browser window, search a distinctive phrase from your caption, and see whether the post surfaces. This is a weak signal by itself. Search indexing varies by region and by how recently you posted, and a video from an hour ago may simply not be indexed yet. What it is genuinely good for is killing a specific fear: if a logged-out stranger can find your video, the story where you have been made invisible is already wrong.

3. Does the hashtag page show the post?

Same idea, same weakness, slightly worse. Hashtag feeds churn constantly and mostly surface recent posts with strong engagement, so missing from a busy tag is the default outcome for an average video rather than a symptom of anything. Check a small, specific tag instead of a huge one. Being absent from a tag with a few hundred posts is marginally more interesting than being absent from one with millions.

4. Did views drop across every post, or only one?

This is the check that does the most diagnostic work, and it is the one most creators skip. Pull your last ten to fifteen posts and compare them against your one-month average, not against your best video ever. One post far below baseline is an ordinary result: it reached its first test batch and the audience scrolled. Every post since a particular date sitting far below baseline is a pattern, and a pattern is worth explaining. Anything between those two is usually just variance.

5. Watermarks, reposts, and recycled clips

Scan your recent uploads for another platform's watermark, for clips downloaded from other accounts, and for reruns of your own older material. TikTok is open about deprioritizing content it treats as unoriginal, and this is the failure mode with no notification attached, because there is no violation to notify you about. If your workflow is download from Reels then upload to TikTok, that alone can explain a drop that looks exactly like a ban.

6. Recent strikes and borderline topics

Look past what account status lists and at what you have actually been posting. Sexually suggestive framing, risky stunts, tobacco and alcohol themes, graphic imagery, and obvious engagement bait are the categories that get posts held out of recommendation. If your drop lines up with a change in subject matter, that is the thread to pull first. Check your system notifications inbox as well, since per-video restriction notices land there and are easy to scroll straight past.

How to read what the checker tells you

The tool returns a reasoned read rather than a verdict, because a verdict would be a lie. Four explanations cover nearly every case.

• A documented restriction. Account status lists a violation or a post marked ineligible for the For You feed. Diagnosis over: appeal it if you believe it is wrong, and stop posting the category if it is not.
• Unoriginal-content drag. Status is clean, but your recent uploads carry watermarks or recycled footage. Nothing was flagged and nothing will be. Fix the export workflow, post clean files, and judge the result over a couple of weeks.
• An account-wide content pattern. Status is clean, exports are clean, but everything since a particular date sits below baseline. Something changed — usually niche, format, or hook length — and the drop is your audience answering.
• One video underperformed. Status is clean and a single post died. Nothing is wrong. That is the normal outcome for most videos on most accounts, including good ones.

None of that is detection. It is structured inference over answers you supplied, and it is only as reliable as your honesty on the last two checks. It is still a far better use of an afternoon than refreshing a scanner that was never reading anything in the first place.

Why most suspected shadowbans are not bans

The shadowban story sticks because consecutive failure feels coordinated. Three videos underperform in a row, the drop looks like a switch being thrown, and one silent penalty is a more satisfying explanation than three separate weak hooks. But a clean account status is the common result here, not the rare one.

A handful of ordinary things produce the exact symptom bundle. A new account distributes softly at first because there is no history to target against, which is a cold start rather than a penalty, and it resolves as you post rather than as you wait. Drifting between niches confuses who your videos get tested on, so completion falls across the board. And a run of videos with slow openings kills watch time inside the first test batch, which is the single most common reason a view count goes flat.

If your status is clean, redirect the energy. Open the retention graph on each of your last five posts and mark where people left. A cliff in the first two seconds is a hook problem. A slow bleed through the middle is a pacing problem. Either one is a diagnosis you can act on this week, which is more than a shadowban theory has ever given anyone.

What to do next

1. Run the account status check in TikTok Studio before you change anything else.
2. Appeal any flag you genuinely believe is wrong, and take the note on any flag that is fair.
3. List every post marked ineligible for the For You feed and find the common thread between them.
4. Replace any download-and-reupload workflow with clean exports from your editor, per platform.
5. Compare your last fifteen posts to your one-month baseline, not to your best video ever.
6. Keep posting inside guidelines on your normal schedule, because going dark resets nothing and costs you data.
7. Give it two weeks of normal posting before you judge whether anything recovered.

There is also the version of this check that happens before you post. ReelTok, our iOS app from Viral App Labs, analyzes a video on your iPhone before it goes live: a 0-100 virality score, predicted reach, and specific notes on your hook and pacing while you can still change them. The video file is never uploaded, and no account or email is required. The app is free to download, with an optional subscription billed through Apple. It cannot tell you whether you are restricted, because nothing outside TikTok Studio can. What it does is turn a flopped video into a data point instead of the mystery that sends people looking for shadowban theories in the first place. https://apps.apple.com/app/id6781385799

The uncomfortable part of this page is also the useful part. Nobody can detect a shadowban for you, so the only honest tool is one that hands you the checks and helps you reason about the answers. Run them once, properly, and you will either have a flag to appeal or a content problem to fix. Both beat a scanner's verdict, which was never based on anything.

If it turns out to be the content, not the account

ReelTok's AI reads your video on your iPhone before you post and names what's costing you reach — hook, pacing, length, or caption.

Frequently asked questions

More free tools: the full shadowban guide, why views drop, or the virality score checker.