Most AI translation tools rely on cloud services.
Audio leaves your device, gets processed elsewhere, and comes back translated.
As open speech recognition, translation, and TTS models continue to improve, it feels increasingly possible to build communication tools that run on infrastructure users actually control.
That’s one of the ideas behind PolyTalk, an open-source translation platform we’re building.
Privacy, ownership, and transparency may soon matter as much as model quality.
Do you think communication tools like translation, transcription, and speech interfaces will eventually move back toward local and self-hosted deployments?
There are ton of great selfhosted tools for tts and similar interfaces.
I used https://github.com/resemble-ai/chatterbox to make my own voice read my epubs, albeit with an american accent which I definitely don’t have in real life. It was close enough to put the voice in the uncanny valley according to my wife.
I think most end users will go for a cloud app or website for their needs though, playing around with self-hosting isn’t for everyone.
That’s a fair point. I think convenience will continue to win for a lot of people.
What interests me is having the option. For some use cases, a cloud service is perfectly fine. For others, whether it’s privacy, compliance, reliability, or simply wanting control over your own infrastructure, self-hosted alternatives can be valuable even if they never become the default choice.
Also, the quality of open-source speech and translation tools has improved so much that they’re becoming realistic options for far more people than they were a few years ago.