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Animated word-by-word captions rendered locally in your browser. Export MP4, transparent MOV/WebM overlays for Premiere, Resolve and CapCut, or SRT/VTT. Your video never uploads.

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Website, pricing, platforms and company facts side by side.
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| Website | cuecaps.com | cloudlinux.com |
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In their own words, as submitted to SaaSHub.


Cuecaps is a browser-based caption studio for animated, word-by-word captions on YouTube Shorts, TikTok, Instagram Reels and longer videos. It transcribes the speech, times every word against the audio waveform and animates the captions in the chosen style. Transcription and rendering run on the...
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As answered by people managing Cuecaps and CloudLinux.
Cuecaps's answer
Cuecaps's answer
Creators who post Shorts, TikToks and Reels every week and want captions that keep muted viewers watching. Video editors who cut in Premiere Pro, DaVinci Resolve, Final Cut Pro or CapCut and need caption overlays rather than another editor. Social media teams, podcasters and educators turning long recordings into clips. People working with private or NDA footage pick it because the video never leaves their computer.
Cuecaps's answer
Everything happens in the browser, on your own computer. Cuecaps transcribes with a speech model that runs on your device, times every word against the audio waveform and renders the finished video locally, so multi-gigabyte footage never uploads and exports are unlimited. It also exports transparent MOV and WebM caption overlays, so animated captions drop straight onto a timeline in Premiere Pro, DaVinci Resolve, Final Cut Pro or CapCut.
Cuecaps's answer
I make Blender 3D tutorials as YouTube Shorts. Captioning them meant uploading multi-gigabyte renders to cloud subscription apps and waiting on their renders. So I built the tool I wanted: drop in a render, get frame-accurate word-by-word captions in a few clicks, and export straight from the browser. The cloth-simulation clip on the Cuecaps home page comes from my own channel.
Cuecaps's answer
The studio is plain JavaScript that runs entirely in the browser: - Whisper (base, timestamped) through Transformers.js, on WebGPU or WebAssembly, for on-device transcription - a small on-device model of our own that places caption breaks and punctuation in English - Canvas 2D to draw the captions, WebCodecs for hardware video encoding, Mediabunny for MP4 and WebM files and a small QuickTime writer for transparent MOV - ElevenLabs Scribe v2 for optional cloud transcription
The website and accounts run on Next.js, React and TypeScript on Vercel, with Supabase (EU), Stripe and Resend.
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