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How to rewrite AI text for TikTok — FYP-ready captions in five steps.

A repeatable workflow for taking ChatGPT-drafted TikTok captions and voiceover scripts and making them FYP-ready before they hit the For You Page. Draft, scan, identify the generic patterns, rewrite in Light mode, publish. The 80-character hook decides watch time. The 2,200-character total is the hard cap. Completion rate is the signal the ranker actually rewards, and a single templated POV opener drops it inside half a second. Built for solo creators posting daily, brand social teams under a marketing director, and creator agencies managing client TikTok handles. Free to try. No card.

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Why TikTok specifically

Completion rate decides the FYP, and the hook decides completion rate.

Long-form authenticity workflows assume the writing is the post. On TikTok the writing is a caption attached to a vertical video and a voiceover script playing inside it. Both surfaces are short, both are decided in the opening beat, and both are read by a Gen Z audience that grew up scrolling ChatGPT outputs since 2023. The workflow has to be built around the hook and the FYP ranker, not around bulk drafting.

TikTok is the platform where the For You Page ranker reads completion rate more heavily than likes, comments, or shares. The caption sits in the bottom-left corner of a vertical video and the audience scans it inside the first second of attention. The voiceover plays inside the first two seconds and decides whether the viewer stays for the rest of the clip. Both surfaces can read as model output, and the audience picks up on either one in the same fast-scroll session.

The 80-character hook carries the watch-time decision

The visible portion of a TikTok caption in-feed is roughly the first 80 to 100 characters before the viewer would have to tap. That window carries roughly 75 percent of the completion-rate weight on captions over 150 characters. If the opener reads templated inside that window, most viewers will swipe before the video hook lands. The POV opener is the single most expensive AI tell to leave in.

The 2,200-character cap is real but mostly theoretical

TikTok allows captions up to 2,200 characters as of 2026. Almost nobody reads past the truncation point because attention has already committed to the video frame. Hook captions usually run 50 to 150 characters total. Story-tease drafts can stretch toward 500 to 1,500 characters when the niche supports it. The hard cap matters for narrative carousel-style posts; the soft cap is the first 80 to 100 characters of every other post on the account.

The FYP algorithm punishes AI flavour at the account level

Completion rate is the dominant FYP ranking signal. A template opener like POV or wait-for-it is read in under a second, the viewer downgrades the post, and the swipe arrives a beat earlier than it would on a specific concrete caption. Within three to five drops the ranker re-weights the account's distribution downward, which is the quiet reach penalty AI-flavoured creators pay without ever seeing the metric that explains it.

Gen Z reads the patterns reflexively

The dominant TikTok audience grew up watching ChatGPT outputs scroll past since 2023. Pattern recognition on AI flavour is reflexive, not analytical. A template caption is identified in the first read and the comment section will surface "this is ChatGPT" inside the first hour on any video that ships a templated POV opener with a tag-a-friend closer. The audience-side penalty compounds the ranker-side penalty.

The workflow

The five-step TikTok authenticity workflow.

Five passes, fifteen minutes per video including the rescan. The order matters because each step narrows the rewrite surface. Draft, scan, identify, rewrite, publish. Light mode is the default and Balanced is reserved for longer narrative carousel-style drafts.

Step 1. Draft the caption or voiceover script

Start with the AI draft or your own outline. For TikTok this is one of two things: an 80 to 100 character hook caption that sits under the video, or a 60 to 180 word voiceover script for the talking part. Both surfaces decide watch time on the For You Page, and both are short enough that a single generic sentence dominates the read. Keep total caption length inside 2,200 characters and remember that anything past the first 80 to 100 characters gets read by a small fraction of viewers.

Step 2. Scan the draft in TextSight

Paste the draft into TextSight and run the detector. Read the sentence-level highlights, not just the Authenticity Score band. Captions are short, so one flagged sentence can swing the band two levels. The scanner shows which exact line reads as AI, which is the line you rewrite first. For voiceover scripts, paste the spoken transcript rather than the bullet outline so the classifier reads the actual cadence the audience will hear.

Step 3. Identify the generic TikTok AI patterns

Look for the five TikTok-specific tells: POV openers like "POV: when you tried something new", wait-for-it suspense framing with three-dot ellipses, you'll-never-believe clickbait, ranked-list templates like "5 hacks that changed my life", and generic emoji stacks at 3 to 6 per caption placed in millennial positions. ChatGPT cycles through these reflexively because they are saturated in the training data, and the Gen Z FYP audience reads them as bot-spam inside half a second.

Step 4. Rewrite in AI Rewriter Light mode

Send the flagged lines through AI Rewriter Light mode. Light preserves brand names, product details, place references, trend names, sound names, and the specific anchors that decide watch time on a short caption. Reserve Balanced for longer story-tease drafts in the 200 to 1,500 character range where there is room to rework paragraph rhythm. Maximum is risky on hook captions under 100 characters because an aggressive rewrite can paraphrase out the very specifics that make the caption land.

Step 5. Publish the FYP-ready caption

Rescan the rewrite, target an Authenticity Score above 80 on Light, and publish. The hook in the first 80 characters carries roughly 75 percent of the completion-rate weight, so the final shape is a clean hook plus a flat-statement body plus three specific niche tags. Skip the tag-a-friend closer; the FYP ranker has soft-penalised bait phrasing and the Gen Z audience reads the closer as bot-spam pattern. Stop on a concrete detail from the body.

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The five TikTok tells

The patterns the workflow looks for.

TikTok has format-specific tells that differ from LinkedIn tells and even from Instagram tells. These five cover roughly 80 percent of the AI flavour on captions and voiceovers that the audience swipes past or screenshots into a community group chat. The fix in every case is replacing a templated pattern with one specific anchor from the actual video.

The "POV:" or templated opener

"POV: when you tried something new and it changed everything." ChatGPT cycles through roughly six TikTok opener templates and the Gen Z audience has learned all of them. The opener decides whether viewers stay through the first two seconds, which is the FYP ranker's primary completion signal. Replace the templated framing with one specific detail from the video: the boba shop on Linking Road, the 220 rupee dal bag, the squat number on the bar, the coach quote. Specificity beats framing every time on TikTok, and the completion lift shows up across the next few drops as the ranker re-reads the account.

"Wait for it..." suspense framing

"Wait for it..." or three-dot ellipses promising a payoff. ChatGPT defaults to suspense framing because the training data is saturated with viral-formula posts that rely on it. The Gen Z audience now reads suspense ellipses as clickbait and the FYP ranker soft-demotes bait phrasing. Drop the suspense framing entirely and describe the moment plainly. The video pays off the why; the caption does not need to promise a payoff that the visual is already about to deliver.

"You'll never believe..." clickbait close

"You'll never believe what happened next." "This will change your life." ChatGPT signs off captions with explicit engagement-bait closers imported from the 2021 Instagram playbook. The FYP ranker has since soft-penalised bait phrasing and the Gen Z audience reads the closer as bot-spam pattern. Delete the closer and stop on a concrete detail from the caption body. A confident close outperforms a hand-holding close on every measurable engagement axis on TikTok.

The ranked-list template

"3 things I wish I knew at 22." "5 hacks that changed my life." "7 mistakes you are making." ChatGPT generates this rhythm constantly for any list-style video. It is structurally pleasing and reads totally AI in 2026 because every productivity, wellness, money, and travel account has run the template into the ground. Pick the single most interesting item from the list and lead with that as a flat statement. The video carries the rest, and the caption stops doing the work the video is already doing.

Generic emoji-stacking in millennial positions

ChatGPT places emojis in millennial positions: cheery face after the joke, sparkles around emotion words, evenly spaced at moderate density of 3 to 6 per caption. Gen Z places emojis at structural breaks: a single skull at the end of a self-deprecating line, eyes as the entire reaction to a moment, zero emojis on a serious caption. The middle-density evenly-spaced pattern is the model default and reads instantly off in 2026. Strip the emoji density to zero or one, place it at the end of the line that needs it, and the rhythm shifts toward human even before the opener changes.

Three modes for TikTok

Light by default for short captions, Balanced for narrative tease.

TikTok captions hinge on specific anchors: a place name, a product price, a coach quote, a sound name, a campaign hashtag. The AI rewriter mode you pick matters more here than on most other surfaces because an aggressive rewrite on an 80-character hook caption can paraphrase out the very specifics that decide watch time. The default for short captions and voiceover scripts is Light, with Balanced reserved for longer story-tease and narrative carousel-style drafts.

Light is the short-caption and voiceover default

Light mode preserves the creator voice, the brand names, the product details, the trend or sound names, and the named anchors that make a caption specific. Use it on hook captions under 100 characters, on trend riffs under 120 characters, on product-demo captions under 200 characters, and on any voiceover script where a place, a price, or a campaign tag carries the post. Light is the mode to run when you cannot afford to re-verify every specific after the rewrite, which is most TikTok posts most days.

Balanced for longer story-tease and narrative carousel-style

Balanced fits story-tease captions and narrative carousel-style drafts in the 200 to 1,500 character range where there is room to rework cadence across two or three sentences without losing the spine of the story. It rewords paragraph rhythm, breaks the ranked-list framing, and softens the trend-explainer voice that ChatGPT pattern-matches to so aggressively. Use Balanced when the structure is sound but the prose reads as AI-flavoured to a careful viewer reading through the caption before deciding to keep watching.

Maximum is risky on short captions

Maximum rewrites aggressively and can paraphrase out the specific anchors a caption is built around. On a hook caption of "the saree shop on Linking Road that nobody talks about" the risk is that the rewrite drops the place name, the proper noun, or the specific detail that signals human authorship. Reserve Maximum for caption bodies that flag every time and were never anchored to a specific number, name, sound, or place. Always re-verify any product details, prices, campaign hashtags, or sound names after a Maximum pass, and rescan before publishing.

Per-sentence flagging at TikTok length

Detection accuracy holds at 150-word minimums in TextSight because the classifier was trained explicitly with short-form content (TikTok captions, Instagram captions, X posts, email-length text). The sentence-level highlights show exactly which line still reads AI so the second pass takes 15 seconds instead of starting over. Target an Authenticity Score above 80 on Light for short captions, above 75 on Balanced for story-tease, and rescan after any hashtag changes since the hashtag stack itself contributes to the score.

Before and after

A ChatGPT TikTok caption, rewritten in two passes.

A real example from a Mumbai-based food creator's budget-recipe video. The rewritten variant lifted completion rate from 28 percent to 71 percent inside the first day and the FYP ranker pushed the post into the explore rotation through the rest of the week.

Before, Authenticity Score 14

"POV: you are tired of expensive meal kits...wait for it... Here are 3 budget recipes that will change your week. Tag a friend who needs to see this. What is your favorite easy meal? Comment below. #fyp #foryou #foryoupage #viral #trending #foodtok #recipe #cooking #easy #cheap #meal #budgetfood"

After, Authenticity Score 92

"made three dinners from one 220 rupee bag of dal. the third one was actually better than the first which i did not expect. recipes at 0:24, 1:10, 1:55. #indianveg #dalrecipes #budgetcooking"

What changed and why

The POV opener dropped and was replaced with a specific 220 rupee anchor. The wait-for-it suspense ellipsis collapsed into a flat statement. The ranked-list "3 budget recipes that will change your week" framing was cut entirely and replaced with one surprise outcome (the third one was better than the first). Three verifiable timestamps were added (0:24, 1:10, 1:55) so the viewer can scrub back to the moment the caption promises. The tag-a-friend and comment-below engagement bait was removed. The 12-tag generic discovery stack dropped to three specific niche tags including the actual recipe niche. The score moved 78 points. Completion rate moved roughly 2.5x in the first 24 hours, which is what told the FYP ranker to keep pushing the post into the explore rotation through the rest of the week.

FAQ

TikTok creators frequently ask.

Why does TikTok need authenticity specifically and not a generic workflow?
TikTok captions and voiceover scripts are decided by completion rate, not by likes or comments, and completion rate is decided in the first 80 to 100 characters of caption or the first two seconds of script. That window is short enough that one generic AI sentence dominates the read. Long-form authenticity workflows that assume a 1,000-word essay where one bad sentence dilutes do not apply. TikTok needs a workflow built around the hook, the FYP ranker, and the Gen Z pattern-aware audience that grew up scrolling ChatGPT outputs since 2023.
What are the TikTok-specific AI tells the workflow catches?
Five patterns cover roughly 80 percent of the AI flavour on TikTok captions and scripts. The POV opener, the wait-for-it suspense framing, the you'll-never-believe clickbait close, the ranked-list template like 5 things I wish I knew, and the generic emoji stack at 3 to 6 per caption in millennial positions. ChatGPT cycles through these reflexively because they are saturated in the training data, and the FYP audience reads them as bot-spam inside half a second. The workflow swaps each pattern for one specific anchor pulled from the actual video.
What is the 80 to 100 character hook rule on TikTok?
The visible portion of a TikTok caption in-feed before the viewer would have to tap is roughly the first 80 to 100 characters. That window carries roughly 75 percent of the completion-rate weight on captions over 150 characters. If the opener reads templated inside that window, most viewers swipe before the video hook lands. Anything past the truncation point gets read by a small fraction of the audience because attention has already committed to the video frame itself. Aim for the hook in the first 80 characters and a body that lands inside 200 characters for most posts.
How long can a full TikTok caption be?
TikTok allows captions up to 2,200 characters as of 2026, the same hard cap as Instagram, but the practical ceiling is much lower. The opening hook in the first 80 to 100 characters carries almost the entire watch-time decision. Hook captions usually run 50 to 150 characters total. Story-tease and narrative carousel-style captions can stretch toward 500 to 1,500 characters. Most posts perform best with a tight hook plus a short body plus three specific niche tags.
Which AI rewriter mode should I use for TikTok?
Light is the default for short captions and hook lines because it preserves the brand names, product details, place references, and trend or sound names that anchor a caption. Balanced fits narrative carousel-style captions in the 800 to 1,500 character range and longer story-tease drafts where there is room to rework cadence. Maximum is risky on short captions because the format is short enough that an aggressive rewrite can paraphrase out the specific anchors the caption is built around. For a hook caption under 80 characters, Light is almost always the right call.
Why does the FYP algorithm punish AI-flavoured captions so hard?
Three forces stack. Completion rate is the dominant FYP ranking signal and any AI tell in the first line shortens watch time before the video hook lands. The Gen Z audience is the most pattern-aware cohort on AI text in 2026 and reads template captions in the first read. And TikTok captions are short enough that a generic opener is more than half the caption and lands at full volume. The combined penalty is account-level, not just post-level, because the ranker re-weights the account's distribution after a few low-completion drops.
Can I run a TikTok account on the free TextSight tier?
Yes, for most creators. Captions and scripts are short. The free tier covers 10,000 characters a day of detection and 5,000 a day of rewriting, with a 10,000-character lifetime cap on the rewrite tool. A typical creator posting three to five videos a day with caption plus script for each stays well inside those limits. Heavy posting schedules and longer voiceover scripts tend to move accounts to Pro at $19.99 a month standard or $14.99 a month on yearly.
Do I need to disclose AI use in TikTok captions or voiceovers?
TikTok requires labels for synthetic media that shows realistic scenes or people, and for AI-generated voice that imitates a real person. Captions written with light AI assistance, or scripts edited by a model, are not generally subject to disclosure. When in doubt, label. Open disclosure of tool use also tends to build trust with the audience, especially in niches where authenticity is the brand.
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