We recently rolled out a major upgrade to one of QuickEditVideo’s most used features: Text-to-Speech.
Our editor now runs on Kitten TTS Nano 0.2, a neural TTS model that delivers noticeably better voice quality without slowing things down.
One of our goals with QuickEditVideo is to help creators ship content faster—with fewer hurdles. Many of our users rely on TTS to generate narration for explainer videos, tutorials, or story-driven clips.
But our previous TTS setup had trade-offs: serviceable, but not always natural. We wanted speech output that could feel human enough to blend seamlessly into YouTube videos, social posts, or educational content. That’s why we jumped to Kitten TTS.
Cleaner Audio: The new model produces more natural-sounding speech with better clarity and pronunciation.
More Expressive Voices: The delivery feels less robotic and more human-like.
Zero Downgrade: Processing time and performance remain basically unchanged.
No Breakage: We swapped the engine under the hood without changing the workflow—so users don’t have to relearn anything.
It’s a compact but powerful neural TTS model from KittenML. Designed for production environments, it balances:
High-quality voice synthesis
Efficient runtime (good for browser-based workflows like ours)
Robust handling of various text inputs
Basically: better quality without heavier costs.
If you’ve tried our TTS before, you’ll immediately notice the difference—voices are smoother, clearer, and easier to listen to. If you’re new, it’s the best version yet.
No action required—every new generation is already running on Kitten TTS Nano 0.2.
Expanding the voice library (more accents, tones, and personalities).
Giving creators control over pacing and emphasis for even more natural output.
Exploring multi-language support as a priority.
Our north star is simple: make it possible to edit videos as easily as editing text—TTS included.
👉 Try it now: QuickEditVideo Text-to-Speech
Would love to hear your feedback on how the new voices compare—and if you’d use them for your own projects.