Transcribe audio to TXT, VTT, or SRT locally with Parakeet MLX.
npx skills add https://github.com/rustykuntz/rocie-tools --skill parakeet-mlx
Please help me install this Agent Skill. Skill: parakeet-mlx Source: https://github.com/rustykuntz/rocie-tools/tree/main/skills/parakeet-mlx Command: npx skills add https://github.com/rustykuntz/rocie-tools --skill parakeet-mlx
This Skill provides a local, on-device solution for converting spoken audio into text, eliminating the need for cloud-based APIs and associated costs or privacy concerns, specifically optimized for Apple Silicon hardware.
Use parakeet-mlx to transcribe the audio file located at /path/to/your/audio.mp3 and output the result as plain text.
High-intent search queries and answers about installing and using this skill.
Local speech-to-text transcription on Apple Silicon can be done entirely offline using the Parakeet MLX model, converting spoken audio into text without cloud-based APIs or internet access.
Local speech-to-text transcription supports various audio input formats processed via ffmpeg, and outputs plain text alongside TXT, VTT, and SRT subtitle formats.
Yes, ffmpeg is required for audio processing when performing local speech-to-text transcription, and Parakeet MLX models are automatically downloaded from Hugging Face to your cache directory.
Yes, on-device speech-to-text transcription processes sensitive audio files entirely offline, eliminating privacy concerns associated with uploading meeting recordings or voice notes to external servers.
Generating SRT subtitles from audio files on Apple Silicon is best handled locally by the Parakeet MLX model, which processes audio inputs directly on your machine and outputs SRT format.
Local ASR transcription downloads Parakeet MLX models from Hugging Face to your cache directory because the speech-to-text processing runs entirely on-device, requiring the model weights to be stored locally for offline execution.
SecKatieTranscribe audio files to timestamped text using parakeet-mlx on Apple Silicon.
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naveencreationTranscribe audio files to text using the Qwen3-ASR-0.6B model.
