Tokturbo

TikTok caption generator.

Caption drafts that match your video topic, niche, tone, and CTA goal. With hook strength, length, and optional hashtag pairing.

Describe the video, then generate

Each caption ships with length, hook strength, and CTA type so you can pick deliberately.
Methodology

Captions are generated by Anthropic Claude server-side with a TikTok-native prompt that bans buzzwords like “viral”, “insane”, “literally”, and lazy patterns like “POV”. Each variant is auto-classified short/medium/long against TikTok's caption fold (~150 characters).

Hook strength is a 1–5 score the model assigns to its own first line. It reflects how concretely the line targets a curiosity gap, problem, or benefit. Not a virality predictor.

How it works

  1. Describe the video

    Topic, niche, tone, target audience, CTA goal, and optionally a transcript paste. The more we know, the tighter the copy.

  2. Pick variants count

    Three to ten captions per run. Each one ships with hook strength, length category, and which CTA framework it leans on.

  3. Copy + iterate

    Hover, copy, paste into TikTok studio. Regenerate with adjusted tone if none land. Hashtag pairing is opt-in.

What people use this for

Posting cadence creator

You ship daily. Captions are the bottleneck. Draft 5 candidates in 8 seconds, pick the one that reads strongest, iterate from there.

Brand social manager

Posting on behalf of a client. Captions must respect a brand voice guide. Feed the tone parameter from your style doc.

A/B testing copy

Same video, two captions, separated by two days. The tool gives you the variants. Measurement is on you.

Frequently asked

Why isn't the caption I asked for what came back?

Claude leans toward natural-sounding copy. If you need rigid corporate phrasing, push the tone parameter further toward 'formal' or paste a sample of the exact voice you want.

Does this include hashtags?

Optional. We surface hashtag suggestions only when you check the box, and the underlying logic links to the hashtag generator for deeper trend backing.

Caption length matters on TikTok?

Yes. Above ~150 chars and TikTok collapses behind a 'more' tap. We mark each caption short / medium / long so you can pick by surface.

Will the same input produce the same output?

No. We use modest temperature so each run reads slightly differently. That's the point of a generator vs a template.

The same engine, scaled up.

Run this same scraper across thousands of accounts, route through audited supplier networks, drip-feed inside the FYP probe window. That’s the paid product. The free tool is the engine, scoped down to one query.

See the paid services