The Multi-Track Timeline: Editing AI Voice Productions Like a Pro
TLDR:Vois is the only AI voice tool with a built-in multi-track timeline. Arrange clips across separate speaker tracks, add crossfade curves, use 50-level undo/redo, and scrub through your production without ever opening a separate audio editor. Podcasters, audiobook creators, and YouTube producers all benefit from keeping arrangement inside the same app where they generate.
Frequently Asked Questions
Does Vois have a multi-track audio editor?
Yes. Vois includes a built-in multi-track timeline where you arrange generated audio clips across separate tracks. You can assign tracks to different speakers, add crossfade curves between clips, and use transport controls to play, pause, and scrub through your production.
Do I need a separate audio editor like Audacity with Vois?
For most voice productions, no. Vois handles script writing, voice generation, timeline arrangement, mastering, and export in one app. You'd only need an external editor for tasks outside voice production, like mixing in complex music beds or applying effects Vois doesn't include.
How many undo levels does Vois's timeline have?
50 levels of undo and redo. Every edit, move, trim, and crossfade adjustment can be reversed, so you can experiment freely without worrying about losing a good arrangement.
Can I use the Vois timeline for podcast editing?
Yes. Create separate tracks for your host, guest, intro music, and outro. Arrange clips in sequence, add crossfade curves at transitions, and export the mixed result. It's designed for exactly this kind of multi-speaker arrangement.
How is the Vois timeline different from a DAW?
It's purpose-built for voice production, not music production. You won't find 64-channel mixing or VST plugin support. But you get exactly what voice projects need: multi-speaker arrangement, crossfade curves, LUFS mastering, and platform export presets, all connected directly to the TTS generation pipeline.
Written by
Vois Team
Product Team
The team behind Vois, building the future of AI voice production.
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