izwi

Voice AI runtime. Local first transcription, speaker diarization, TTS, and voice cloning with an OpenAI compatible API.

Not yet testedsource: GitHubhomepageRustMITcommit 7804eee5a944

Rust, MIT licensed. The project labels itself: asr, audio inference, local first, openai compatible api, self hosted ai, speaker diarization, speech to text and text to speech.

izwi has not been verified yet.

Measured by Argusic on a fresh machine every time. Every number links to its evidence.

At a glance

verdict
Not yet tested
Argusic Score
not scored yet
recorded runs
0
last tested
-
stars
390
forks
40
open issues
19
watchers
6
size
45 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

Also tested, in the same area

Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.

Run history

No recorded runs.

Topics (from GitHub)

asraudio-inferencelocal-firstopenai-compatible-apiself-hosted-aispeaker-diarizationspeech-to-texttext-to-speechttsvoice-cloning

Embed the badge

Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/izwi.svg)](https://argusic.com/subject/izwi)

Questions

Does izwi run?
izwi has not been fully verified yet. No recorded run has produced a verdict yet.
How did Argusic test izwi?
On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
Where is the evidence for izwi?
All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion