Launching 10 Sep

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For Fitness Creators

Video Captions for Fitness Creators

Gym audio is hostile to transcription: loud music, clanging plates, echo off hard surfaces. The model separates speech from that background before transcribing, which is where the accuracy on fitness content comes from.

It also matters that the captions are readable while someone is actually moving. Form cues and rep counts have to be legible at a glance from a propped-up phone, not studied.

  • Works through gym noise
  • Large readable captions
  • No watermark
  • Free

Launching 10 September 2026. Join the waitlist for early access.

No spam. One email when we launch, and you can unsubscribe any time.

Why fitness teams caption

The parts of captioning that matter most for this kind of video.

Built for noisy audio

Music under a voiceover and background clatter are the normal case in gym footage, not the exception. Speech is isolated from that before transcription rather than competing with it.

Readable while moving

Set caption size and weight large enough to read from a phone propped across a room mid-set, which is how most workout video is actually consumed.

Cues timed to the movement

Word-level timing means a form cue appears exactly when you say it, not a beat late — which matters when someone is following along in real time.

Works silent in a feed

Most people meet your content scrolling with the sound off. Burned-in captions carry the coaching to viewers who never unmute.

How it works

Upload, review, export. No timeline and no timecodes typed by hand.

  1. 1

    Upload your video

    Drop in your fitness footage as MP4, MOV, MKV or an audio file. Nothing to install, and no account needed to start.

  2. 2

    Generate captions with AI

    The AI separates your voice from the music and gym noise, transcribes the cues, and times each line to when you actually say it.

  3. 3

    Edit and export

    Correct the terms specific to fitness, then download the video with captions burned in, or export a clean .srt or .vtt file.

Fitness video is watched in the worst possible conditions

Think about where your video actually gets played. Someone is in a gym, their own music is on, the phone is propped on a bench two metres away, and they are checking it between sets while out of breath. Or they are scrolling the feed on a train with headphones they have not put in.

None of those situations involve carefully listening to your audio. Which means the coaching — the cue about knee position, the count, the warning about what not to do — has to survive being silent and read at a glance from a distance.

That pushes fitness captions in a specific direction: bigger and bolder than most categories need, and timed tightly to the movement rather than to the sentence. A cue that appears half a second after the rep it describes is worse than useless when someone is mirroring you in real time.

Frequently Asked Questions

Specific to this kind of video, not the generic list.

Will it work with loud music over my voice?

Yes. Speech is separated from background music and noise before transcription, which is what makes gym footage viable. Very loud music mixed close to the voice is the hardest case, and the editor covers the occasional missed word.

Can I make the captions bigger?

Yes. Font size, weight, outline and background are all adjustable. Fitness content generally wants larger and bolder text than other categories because of how far away the screen usually is.

Are form cues timed accurately to the movement?

Timing is aligned at word level, so a cue appears when you say it rather than a beat behind. That matters most for follow-along content where viewers are moving in real time.

Does it handle rep counts and numbers?

Numbers transcribe reliably. Counting out loud over background noise is worth a quick check, as counts spoken quickly can run together.

Can I edit my captions before exporting?

Yes. Correct the transcript, adjust timings, choose a caption style and then export the finished video or a clean SRT or VTT file.

When does Caption Maker launch?

Caption Maker launches on 10 September 2026. Join the waitlist to be notified when editing and exports open.

Post your next video captioned

Caption Maker launches on 10 September 2026. Join the waitlist and stop letting the silent scroll eat your best content.

No spam. One email when we launch, and you can unsubscribe any time.

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