Why people look for a Captions alternative
Credits change how you edit. When every AI action draws from a monthly pool, you start rationing: is this clip worth the credits, should I re-run the captions, do I save the fancy edit for a better video? Post daily and a 200-credit allowance runs out mid-month, nudging you to the $24.99 tier. The meter, not the features, is what sends people looking elsewhere.
There is also the cloud question. Captions processes footage on its servers, which means uploads, waiting, and your raw clips leaving the phone. For everyday talking-head content, that is overhead a local editor simply does not have.
No meter, no upload: the Wavcut approach
Wavcut runs its core editing on-device. Silence and filler-word detection, caption generation and styling, and b-roll placement from your library all happen locally, so there is nothing to meter and nothing to upload. The tenth video of the week costs exactly what the first did: nothing.
The b-roll difference matters too. Captions leans on AI-generated or stock visuals, which spends credits and looks like everyone else’s output. Wavcut places your own real clips, stored and organized in its library, which keeps your videos yours. Add presets, your caption style, cut sensitivity, and b-roll behavior applied in one tap, and the whole edit becomes a review instead of a build.
When Captions is still worth it
Captions has cloud tricks Wavcut deliberately does not: AI eye-contact correction, dubbing and translation into many languages, and generative avatar-style features. If those are central to your content, the credit system is the price of that compute.
If what you actually do is film yourself or record a voiceover, then caption, tighten, and add b-roll, you do not need a credit meter for any of it. That everyday workflow is exactly what Wavcut automates, unmetered.