Who is qwen3-asr-mlx for?

qwen3-asr-mlx is an open-source project built for developers.

Does qwen3-asr-mlx have a free plan?

Yes — qwen3-asr-mlx is open source under the MIT license and free to use.

What platforms does qwen3-asr-mlx run on?

qwen3-asr-mlx runs on the command line.

Is qwen3-asr-mlx still active?

The GitHub repository shows 3 commits in the last 90 days.

What are alternatives to qwen3-asr-mlx?

Similar projects tracked by PulseGate include Qwen3 ASR 0.6B, Qwen3 ASR 0.6B, and gigaam-multilingual-mlx.

Who develops qwen3-asr-mlx?

qwen3-asr-mlx is developed by gabrimatic.

When did qwen3-asr-mlx launch?

qwen3-asr-mlx first shipped in 2026.

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qwen3-asr-mlx

Name: qwen3-asr-mlx
Author: gabrimatic

github.comInfrastructure

qwen3-asr-mlx is an open-source CLI tool that performs speech-to-text inference locally on Apple Silicon devices using the MLX framework. It is designed for developers who need efficient, offline audio transcription capabilities.

Open SourceMITCLI

Visit github.com

Overview

4 features

qwen3-asr-mlx sits in PulseGate's Frameworks & SDKs category. It focuses on enabling fast, local speech-to-text transcription on Apple Silicon devices using MLX. qwen3-asr-mlx is an open-source project aimed at developers. qwen3-asr-mlx is open source under the MIT license. It ships for the command line.

gabrimatic builds and maintains qwen3-asr-mlx, and it first shipped in 2026. The project is developed in the open on GitHub with 3 commits in the last 90 days. Among its 4 catalogued features are speech-to-text, Apple Silicon support, and MLX integration.

Summary written by a language model from the project’s public pages.

Speech-to-text
Apple Silicon support
MLX integration
CLI interface

Built with & integrations

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed26 Jun · 04:07 UTC
Listing verified against its public source
Source: PulseGate · Open

Frequently asked questions about qwen3-asr-mlx

What is qwen3-asr-mlx?: Qwen3-asr-mlx focuses on enabling fast, local speech-to-text transcription on Apple Silicon devices using MLX. It is catalogued under Frameworks & SDKs on PulseGate.
Who is qwen3-asr-mlx for?: qwen3-asr-mlx is an open-source project built for developers.
Does qwen3-asr-mlx have a free plan?: Yes — qwen3-asr-mlx is open source under the MIT license and free to use.
What platforms does qwen3-asr-mlx run on?: qwen3-asr-mlx runs on the command line.
Is qwen3-asr-mlx still active?: The GitHub repository shows 3 commits in the last 90 days.
What are alternatives to qwen3-asr-mlx?: Similar projects tracked by PulseGate include Qwen3 ASR 0.6B, Qwen3 ASR 0.6B, and gigaam-multilingual-mlx.Qwen3 ASR 0.6B Qwen3 ASR 0.6B gigaam-multilingual-mlx
Who develops qwen3-asr-mlx?: qwen3-asr-mlx is developed by gabrimatic.
When did qwen3-asr-mlx launch?: qwen3-asr-mlx first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
Built for: developers
Model: Open source
Solves: Enabling fast, local speech-to-text transcription on Apple Silicon devices using MLX.

Registered as

GitHub: gabrimatic/qwen3-asr-mlx
PyPI: qwen3-asr-mlx

Developer

gabrimatic

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 12 May 2026
Commits 90d: 3
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: v0.1.1 · 12 May 2026

Live coverage

Identity confidence: Low · 64
Indexed: 26 Jun 2026
Lifecycle: Unverified
Last seen: 26 Jun 2026

Identity audit (12)

Slug: qwen3-asr-mlx-pypi-org
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 26 Jun 2026
Timeline basis: Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 24 Jul 2026
Canonical URL: https://github.com/gabrimatic/qwen3-asr-mlx

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