Pre-record scanning for long-form scripts, Shorts hooks, video descriptions, community-tab posts, and brand-supplied sponsor reads. Tuned for spoken cadence so AI residue gets caught before the camera turns on. Works for solo creators under 10K and channel teams above 1M alike. Free to try. No card. Your first scan in about six seconds.
Three shifts converged in 2025 that made pre-record scanning the difference between a video that compounds and a video that quietly stalls in the algorithm.
YouTube is unforgiving in a way most platforms are not. The algorithm watches the first 30 seconds of every upload and decides, on the basis of a single retention curve, whether to keep pushing the video into Suggested or quietly stop showing it. A script that opens in AI-template cadence loses viewers in those exact seconds, the retention graph dips, and the video stalls at the impressions it had at hour one. No policy strike, no email; it just stops growing.
YouTube updated its monetisation policies in 2024 to cover mass-produced and repetitious content, marketed as Inauthentic Content. Pure AI text-to-speech channels are the explicit target, but creators leaning heavily on ChatGPT-drafted scripts read verbatim sit closer to the line than most realise. The policy is enforced unevenly today and aggressively tomorrow, and the channels that quietly clean their scripts now are the ones that keep monetisation intact when the enforcement tightens.
Every video that holds retention raises average view duration, and the algorithm rewards healthy averages by surfacing every subsequent upload to a larger first-hour audience. A single AI-flavoured long-form upload can cool the channel for two or three weeks while the algorithm recalibrates. The asymmetric downside is why pre-record scanning matters more for YouTube than for almost any other surface.
A 60 to 90 second Short lives or dies on the first three seconds. Viewers swipe at the slightest whiff of a templated hook. AI-template openers are the single most common reason new Shorts fail to retain, and the fix is to scan the script before recording so the hook never makes it to the camera in the first place.
Everywhere AI residue can leak into the channel and how to catch it in three minutes a video.
The 10 to 30 minute uploads that pay the rent. Scan the full script before recording, focus on the opening 30 seconds where retention is decided, and rewrite any flagged lines into the voice your subscribers already recognise. The cost of an AI-flavoured opener is a cold first hour, which compounds into a stalled video and a quieter algorithm push for the next two uploads.
60 to 90 second scripts where the hook is the entire game. Template hooks get swiped on instinct. Scan every Short before recording; the highlights will catch the templated opener almost every time and let you write a hook that sounds like a human said it out loud rather than a content farm output.
YouTube uses this block to understand the video for search and Suggested, and viewers read it on mobile when deciding whether to click. Templated descriptions read suspect to power viewers and the algorithm increasingly weighs description quality as a relevance signal. Scan the description, chapter labels, and pinned-comment teaser as one block before publishing the upload.
The 30 to 90 second brand insert in the middle of a long-form upload. Marketing teams generate the talking points in ChatGPT and ship them to you mostly unedited. Scan the brand draft as a standalone block, rewrite the flagged sentences into your own register while keeping the brand's required claims intact, scan again, and read the cleaned version on camera so the sponsor block holds retention instead of bleeding it.
Small surface, but the audience reads these between uploads and forms opinions about whether the channel is still real. AI-template community posts read as filler and quietly drop engagement on the next upload. Pinned comments, brand-voice replies, and the channel About page belong in the same scan loop, even when each one is only two sentences long.
Free tier covers solo channels and Shorts experiments. Pro fits daily-Shorts creators and weekly long-form workflows. Business fits production teams and multi-channel networks. Full details on the pricing page.
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The pre-record workflow looks different at 10K subscribers and at 1M, and TextSight scales across both ends without forcing either to overpay.
Most creators at this stage write their own scripts and use ChatGPT as a brainstorm helper. The risk is that the AI assist leaks into the final draft because there is no second set of eyes catching it. Free tier covers three scans a day, which fits a channel shipping one long-form video and two or three Shorts a week. The habit you build now scales when the channel does.
Cadence tightens, sponsor pitches start landing in the inbox, and the cost of a stalled upload climbs. Pro at $14.99 on yearly removes the scan limit and gives the headroom to scan every script, description, and brand draft before recording. The sponsor read is the highest-leverage scan in the workflow because one cleaned placement covers a year of Pro on its own.
Script writers, video editors, and channel managers come into the workflow. Drafts ship through a small team rather than just the host. Business at $29.99 on yearly with five team seats and shared scan history is the practical fit, with the audit log catching which writer's drafts came in flagged and which came in clean.
Multi-channel networks, production studios shipping for multiple hosts, and brand-deal teams running placements across a creator roster all sit on Business with REST API access for workflow automation. The math is the same as at every other tier: one cleaned sponsor read more than covers a year of the plan, and the scanning loop is the cheapest insurance for the channel as an asset.
Three to five minutes added to the pre-record routine after the first week of using the workflow, and every script ships through the same loop.
Draft the script in Google Docs, Notion, Scrivener, or whichever teleprompter app the host prefers, including BigVu, PromptSmart, and Teleprompter Premium. AI tools are perfectly fine at the outline stage as a way to unstick a structure or brainstorm a hook. The discipline is rewriting the AI assist into your own register before the script leaves the draft app.
Paste the full script into app.textsight.ai before the camera turns on. Read the Authenticity Score for the script as a whole, then drill into the sentence-level highlights for the opening 30 seconds. Above 85 means the script reads as yours; 70 to 85 means rewrite the highlighted lines; below 70 means the script needs a real voice-pass before recording starts.
Scan the brand-supplied sponsor read as its own block, rewrite in your voice while keeping the brand's required claims intact, scan again to confirm, and merge the cleaned block back into the script. This is the single highest-leverage scan in the workflow because the sponsor block is the part of the video that bleeds retention fastest when it reads as AI.
Before publishing the upload, paste the description, chapter labels, pinned-comment teaser, and any same-day community-tab post into TextSight as one block. The scan catches templated phrasing in the description, which feeds YouTube's understanding of the video for search and Suggested. The whole pre-publish cycle settles at three to five minutes per upload once the habit is built.
Captions, sponsored posts, and the cross-platform voice loop for creators on TikTok and Instagram.
For influencers →The newsletter equivalent: paid issues, Notes, and the voice your subscribers pay for.
For Substack →The 0-100 score that tells you whether a script reads as yours, with the bands explained.
Read the explainer →Voice-preserving rewrite for the flagged lines, useful for fixing sponsor blocks without restructuring the script.
See the AI rewriter →Free to try. No card. Pre-record scanning for long-form scripts, Shorts hooks, descriptions, and brand-supplied sponsor reads. Your first scan in about six seconds.