qwen3-tts-mac and QwenVoice

These tools are competitors, both offering macOS applications for Qwen3-TTS on Apple Silicon, but PowerBeef/QwenVoice appears to be a more comprehensive solution with additional features like custom voices, voice design, and voice cloning built into a native app.

qwen3-tts-mac
31
Emerging
QwenVoice
31
Emerging
Maintenance 10/25
Adoption 5/25
Maturity 1/25
Community 15/25
Maintenance 13/25
Adoption 8/25
Maturity 3/25
Community 7/25
Stars: 11
Forks: 4
Downloads: —
Commits (30d): 0
Language: Python
License: —
Stars: 57
Forks: 3
Downloads: —
Commits (30d): 0
Language: Swift
License: —
No License No Package No Dependents
No License No Package No Dependents

About qwen3-tts-mac

kapi2800/qwen3-tts-mac

Optimized implementation of Qwen3-TTS for Apple Silicon (M1-M4)

About QwenVoice

PowerBeef/QwenVoice

Native macOS app for Qwen3-TTS with custom voices, voice design, and voice cloning, 100% offline on Apple Silicon

Combines SwiftUI frontend with a long-lived Python backend running MLX inference locally, communicating via newline-delimited JSON-RPC 2.0—eliminating the need for users to install Python or use the terminal. Supports multi-format voice cloning (WAV, MP3, AIFF, M4A, FLAC, OGG) with optional transcripts for accuracy, live streaming preview for single generations, batch processing, and SQLite-backed generation history.

Related comparisons

qwen3-tts-mac and qwen3-tts-apple-silicon qwen3-tts-mac and qwen3-tts-apple-silicon

Scores updated daily from GitHub, PyPI, and npm data. How scores work