LibreAI / Audio / argmax-oss-swift
// audio · argmaxinc/argmax-oss-swift

argmax-oss-swift

On-device Speech AI for Apple Silicon

★ 6.4k stars⑂ 619 forksMITupdated 2026-09
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

argmax-oss-swift is an open-source audio project by argmaxinc (argmaxinc/argmax-oss-swift on GitHub). It has 6,389 GitHub stars and 619 forks, is released under the MIT license, and was last updated on GitHub on 24 September 2026.

GitHub stars
6,389
Forks
619
License
MIT
Last updated on GitHub
24 September 2026
Category
Audio
Listing
Full install guide
Official site
GitHub repo
// how it works

How it works

  1. Pick the job

    Transcription, synthesis, voice changing, or editing — each tool here majors in one.

  2. Install and set up

    Binaries, pip packages, or Docker; models download on first run for AI tools.

  3. Feed it audio or text

    Drop in a recording or type what you want spoken.

  4. Export the result

    WAV/MP3/OGG outputs drop straight into editors or apps.

// features

Why people love it

Speech recognition

Accurate speech-to-text for transcription workflows.

Speech synthesis

High-quality text-to-speech voices built in.

Diarization

Tell speakers apart in meetings and interviews automatically.

Voice cloning

Clone a voice from a short sample for narration and dubbing.

State-of-the-art models

Whisper-grade transcription and natural neural voices, free.

Offline capable

Many run fully on-device — nothing you say leaves the machine.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/argmaxinc/argmax-oss-swift.git
    cd argmax-oss-swift
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project's launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

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// faq

Questions, answered

Who maintains argmax-oss-swift?

It is an open-source project at argmaxinc/argmax-oss-swift with 619 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is argmax-oss-swift free for commercial use?

MIT licensed — use it commercially, no strings attached.

Does it work offline?

Most of these run fully offline after the model download.

Can I use the voices commercially?

Check each license — many allow it, but voice-cloning has ethical and legal boundaries.

How accurate is the transcription?

Whisper-class models rival paid services on clear audio; noisy recordings need cleanup first.

// keep exploring

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// alternatives

Alternatives in Audio

The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if argmax-oss-swift is not the right fit.

Get argmax-oss-swift

Free and open — grab the source, star the repo, and start creating.