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VieNeu-TTS

Vietnamese text-to-speech with voice cloning, on-device

Developer Tools
Artificial Intelligence
GitHub
Audio
Visit WebsiteSee on Product HuntGithub ⧉

Hunted byJang TrịnhJang Trịnh

VieNeu-TTS turns Vietnamese text into speech on your own computer, with instant voice cloning from a 3 to 8 second clip. It reads Vietnamese and English in one text, outputs 48 kHz audio, and installs with pip install vieneu on CPU or GPU. The v3 Turbo model is on GitHub under Apache 2.0. A newer v4 model and a paid API are at vieneu.io.

Top comment

Hi Product Hunt, I'm Jang. I'm hunting VieNeu-TTS, I'm not the maker. It is built by Phạm Nguyễn Ngọc Bảo in Ho Chi Minh City, and I'm hunting it because it puts Vietnamese voice cloning on a local machine.

What the project says it does:

• Runs on-device: pip install vieneu, CPU or GPU, plus a Windows installer on vieneu.io

• Instant voice cloning from a 3 to 8 second reference clip

• Vietnamese and English in the same text, 48 kHz output, 25 preset voices

• Real-time streaming, and an OpenAI-compatible API server you can run yourself with Docker

• The README reports first audio in about 115 ms on one RTX 3060 (the project's own benchmark, I haven't re-run it)

Good to know before you try it: the GitHub repo has v3 Turbo (Apache 2.0). The newer v4 is proprietary and only available through the vieneu.io API, which is paid.

Maker, if you see this: thank you for building it. Vietnamese speakers, how do the voices sound to you?

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About VieNeu-TTS on Product Hunt

“Vietnamese text-to-speech with voice cloning, on-device”

VieNeu-TTS was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #68 on the daily leaderboard. VieNeu-TTS turns Vietnamese text into speech on your own computer, with instant voice cloning from a 3 to 8 second clip. It reads Vietnamese and English in one text, outputs 48 kHz audio, and installs with pip install vieneu on CPU or GPU. The v3 Turbo model is on GitHub under Apache 2.0. A newer v4 model and a paid API are at vieneu.io.

VieNeu-TTS was featured in Developer Tools (522.4k followers), Artificial Intelligence (482.8k followers), GitHub (41.5k followers) and Audio (2.2k followers) on Product Hunt. Together, these topics include over 264.8k products, making this a competitive space to launch in.

Who hunted VieNeu-TTS?

VieNeu-TTS was hunted by Jang Trịnh. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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