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Free AI Video Predictor

Score your short-form video's viral potential before you publish. Get a 0–100 prediction, weak spots, and exact fixes - built for Reels, TikTok, and Shorts.

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Posting blind is expensive. You spent two hours filming, an hour editing, and now you upload - knowing the algorithm will give you maybe 200 views before deciding whether to push further. The Video Predictor reverses that gamble. You feed in your title, hook, duration, and niche before publishing. Our AI scores it 0–100 against the retention and pattern-interrupt signals that actually drive distribution on TikTok, Reels, and Shorts. Then it tells you specifically what's weak - hook structure, length, niche fit - and how to fix it. Use it as a pre-flight check before every upload.

How it works

  1. 1Type the working title, the spoken or on-screen hook (first 3 seconds), and the planned duration.
  2. 2Add your niche so we benchmark against retention norms for your category.
  3. 3Our AI runs the inputs through a viral-potential model trained on short-form retention patterns.
  4. 4You get a 0–100 score, a high/medium/low verdict, and three columns: strengths, weaknesses, fixes.

Who uses this tool

  • Creators who want a sanity check before uploading the one Reel they shot this week.
  • Agencies QA-ing client content before scheduling - catching weak hooks before they ship.
  • UGC creators testing variants of the same video and picking the strongest before submission.
  • Editors deciding which of three cuts to deliver to a paying client.
  • Brand teams testing TikTok Spark Ads creative - predicting before spending paid media on it.
  • Founders building a personal brand who want a second opinion before posting.

Why this beats the generic AI tools

  • Predicts before you publish - no need to burn a real upload to learn the hook is weak.
  • Outputs concrete fixes, not just a vague score. You can act on the report immediately.
  • Tuned to short-form retention metrics, not generic copywriting heuristics.
  • Free with no signup wall. Your inputs stay private; we email you the result.
  • Niche-aware: a 6-second fitness hook scores against fitness norms, not finance norms.

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What the score actually measures

The 0–100 score weights three things: hook strength in the first 1.5 seconds, duration fit for your niche and platform, and title-to-content alignment. Hook strength is the dominant input - TikTok and Reels both decide distribution within seconds based on watch-percentage at the 3-second mark. A great topic with a flat hook scores low because the algorithm never gets to the topic. The verdict (high/medium/low) is a calibration on top of the raw number to make decisions easier: high means ship it, medium means iterate, low means rewrite.

Why duration matters more than people think

Short-form has a sweet spot per niche. Fitness and food work at 15–30 seconds because the payoff is visual. Finance and education often stretch to 45–60 seconds because the payoff is informational. Shorts under 10 seconds rarely build watch-time; videos over 90 seconds pay a steep distribution tax unless the hook is exceptional. The predictor checks your duration against the niche-specific sweet spot and flags it when you're outside the band - one of the most common fixes.

How to use the fixes column

Each fix is written as something you can change before re-uploading. Common ones: tighten the hook to 5–8 words spoken in the first 1.5 seconds, cut the intro by 2 seconds, swap a vague title for a specific number, add an on-screen text hook over the first frame. Apply the top two fixes, run the predictor again, and watch the score move. If the score doesn't move, the issue is structural and you probably need a different angle, not a polish pass.

FAQ

Does this guarantee my video will go viral?

No tool predicts virality with certainty - too many external variables (timing, trending audio, follower base, platform changes). What this tool does is identify the structural weaknesses that almost always tank short-form distribution. A high score means you've removed the obvious blockers, not that virality is guaranteed.

Should I trust a high score blindly?

Treat it as a structural green light, not a guarantee. We've seen high-scored videos fail because the topic was already saturated that week, and lower-scored videos break out because the audio was trending. The score covers what the tool can see; it can't see your follower history or current platform trends.

Can I use this for paid TikTok Spark Ads or Meta video ads?

Yes - the same retention signals matter even more in paid environments. Many of our agency users predict every variant before approving spend. A 65+ score is generally the bar we see teams use before pushing creative to paid.

How does it handle different niches?

The niche field calibrates the duration sweet spot, the hook patterns we expect, and the title norms. A how-to fitness video gets compared to fitness retention curves. A finance explainer gets compared to finance retention curves. Without a niche, the score defaults to a general short-form average, which is less precise.

Will my video idea be stored or shared?

Inputs are processed for the prediction and stored only to send you the report. We don't share, train on, or republish your hooks or titles. If privacy is critical (e.g. unreleased product launches), use a generic placeholder title for the prediction.

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Free AI Video Predictor

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