OmniVoice
Shares rank 16 of 18 text-to-speech models by recommenders
Text-to-speech model people recommend for fast, high-quality speech, with voice cloning and self-hosted use.
Text-to-speech model people recommend for fast, high-quality speech, with voice cloning and self-hosted use.
5 people gave an opinion
- recommend it
- 5
- criticize it
- 0
- approval share
- 100%
Recommended in 5 of 13 months
- November 2025: not recommended
- December 2025: not recommended
- January 2026: not recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: recommended
- May 2026: recommended
- June 2026: not recommended
- July 2026: not recommended
- August 2026: recommended
- September 2026: recommended
- October 2026: recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 5 people recommend itNeeds 10 or more, not met.
- Nobody criticizes itNeeds 2 to 1 or better, met.
- Recommended in 5 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Fast inference and low latency
“generates high-quality speech with superior inference speed”
Comment from 2 Apr 2026 in “OmniVoice, high-quality TTS for 600+ Languages” “tts (omnivoice) take no more then 400-450 ms total”
Comment from 17 Sep 2026 in “Show HN: Share your AI Setup, Learn from others” High-quality speech output
“generates high-quality speech with superior inference speed”
Comment from 2 Apr 2026 in “OmniVoice, high-quality TTS for 600+ Languages” “but the reason is .... quality”
Comment from 21 Aug 2026 in “How We Made a Text-to-Speech Model Respond in Sub-50 ms”
Other text-to-speech models people recommend
The four most recommended other text-to-speech models, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| ElevenLabs | 59 | 20 | 75% | 13 | — | Approved |
| Kokoro TTS | 59 | 9 | 87% | 11 | 1 mo3 owners | Approved |
| Pocket TTS | 41 | 16 | 72% | 8 | — | Approved |
| Qwen3-TTS | 41 | 13 | 76% | 7 | — | Approved |
| OmniVoiceThis page | 5 | 0 | 100% | 5 | — | — |
What people said
5 of the 6 comments that mention it, newest first. Each links to the original comment.
“tts (omnivoice) take no more then 400-450 ms total”
“but the reason is .... quality”
“It supports voice cloning, dubbing, transcription, and local/self-hosted workflows with Docker + desktop UI support.”
“OmniVoice has wide language support.”
“generates high-quality speech with superior inference speed”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.