A modular Swift SDK for audio processing with MLX on Apple Silicon
-
Updated
Jul 22, 2026 - Swift
A modular Swift SDK for audio processing with MLX on Apple Silicon
💬 Fast, cross-platform CLI and GUI for batch transcription, translation, speaker annotation and subtitle generation using OpenAI’s Whisper on CPU, Nvidia GPU and Apple MLX.
MLX Porting Toolkit — an agent-guided, evidence-gated pipeline (scaffold → convert → parity → benchmark) plus a portable skill for porting PyTorch/Hugging Face models to Apple MLX.
A high-performance, fully local real-time voice translation agent built for Apple Silicon. Features seamless English-Hindi translation, zero-shot voice cloning, and a stateful agentic workflow orchestrated by LangGraph and MLX-Audio.
Streamlit application for transcription and translation using IBM Granite Speech on Apple Silicon with MLX.
Text-to-speech for Claude Code hear responses, notifications, and command completions spoken aloud.
这是一个基于 mlx-audio 的本地 REST 服务,用来实现兼容 OpenAI 的 TTS / STT 音频接口桥接层。
PageMatch transcribes your audiobook once using NVIDIA's Parakeet model running locally on your Apple Silicon GPU via MLX. After that, finding any moment in a 20-hour book takes under a second — just paste a sentence from the text.
Turn any web article or PDF into a private, narrated read-along on your Mac — local, offline, karaoke-style. Kokoro TTS via MLX-Audio.
Local macOS SwiftUI lab for recording/importing audio, running MLX ASR models, and comparing transcription speed and output entirely on-device.
Streamlit application for generating multilingual speech using Hexgrad Kokoro on Apple Silicon with MLX.
Local meeting audio/video transcription skill with speaker diarization, subtitles, summaries, reports, and optional translation.
Voxtral 4B TTS 2603 on mlx
Explainable acoustic analysis and reference-guided prosody generation for AI speech
A state-of-the-art Web UI for Qwen3-TTS providing zero-shot voice synthesis, optimized natively for Apple Silicon (MLX) and Nvidia (CUDA) with PyTorch fallback integrations.
Add a description, image, and links to the mlx-audio topic page so that developers can more easily learn about it.
To associate your repository with the mlx-audio topic, visit your repo's landing page and select "manage topics."