VoiceChange
Garnet voice
- Delay the AI adds
- 35 ms
- Words misheard
- 0.7%
- CPU
- 40%
- RAM
- 457 MB
- Pitch
- 276 Hz
VoiceChange Live / Benchmark
How the AI voice changers compare
We played the same four sentences of natural speech through VoiceChange, Voicemod and DubbingAI, each set to a female AI voice, and recorded what came out of their virtual microphones. Here is what we measured, and every clip so you can judge by ear.
Ours
Voicemod
Mei voice
- Delay the AI adds
- 45 ms
- Words misheard
- 4.9%
- CPU
- 31%
- RAM
- 523 MB
- Pitch
- 273 Hz
DubbingAI
Hannah voice
- Delay the AI adds
- 275 ms
- Words misheard
- 4.9%
- CPU
- 26%
- RAM
- 500 MB
- Pitch
- 190 Hz
All measurements
| App and voice | Total delay | Jitter | Word error | Character error | Pitch | Clipped samples | Dropouts |
|---|---|---|---|---|---|---|---|
| AI voices | |||||||
| VoiceChange Garnet | 165 ms | 0 ms | 0.7% | 0.9% | 276 Hz | 0 | 3 |
| Voicemod Mei | 185 ms | 0 ms | 4.9% | 2.2% | 273 Hz | 0 | 0 |
| DubbingAI Hannah | 410 ms | 2 ms | 4.9% | 2.2% | 190 Hz | 1,940 | 0 |
| No voice effect (the baseline) | |||||||
| Original recording No app | 0 ms | 0 ms | 0.7% | 0.9% | 142 Hz | 0 | 0 |
| VoiceChange Your voice (no effect) | 130 ms | 4 ms | 0.7% | 0.9% | 142 Hz | 0 | 0 |
| Voicemod Clean Mic | 140 ms | 2 ms | 0.7% | 0.9% | 141 Hz | 0 | 0 |
| DubbingAI Voice changer off | 135 ms | 0 ms | 1.3% | 1.5% | 141 Hz | 3,227 | 0 |
How we measured
- Same input for every app. Four sentences of real conversational speech were played into a virtual audio cable on a Mac, each app used that cable as its microphone, and we recorded the app's virtual microphone.
- Delay is how much later the voice comes out than it went in, over the test rig's own delay. Every app's virtual microphone adds about 130 to 140 ms even with no effect on, so the delay the AI adds is the AI voice's total delay minus the same app's no-effect delay.
- Word and character error come from Whisper large-v3 transcribing each sentence on its own and comparing it with what was said. Lower means the words are easier to understand.
- Clipped samples are samples at full scale, which sound like crackle. Dropouts are short gaps in the output.
- CPU and RAM were measured with each app's AI voice on, all three apps running at the same time for 30 seconds, counting each app's own processes and the web-view helpers that draw its window. CPU is a share of one core on an Apple Silicon Mac.
Tested 14 November 2026 on macOS with the current version of each app. Your results will depend on your computer and microphone.