Petal
Fast, local audio transcription for macOS directly in the menu bar
AI Summary
Petal is a native macOS menu bar app for local audio transcription, optimized for Apple Silicon Macs. It supports multiple transcription engines including Apple Speech, Whisper, Qwen, and Voxtral. The app processes audio entirely locally on the device and offers fast copy/paste workflows.
✓ Pros
- + Completely local processing protects sensitive data and works offline
- + Supports multiple AI models (Whisper, Qwen, Apple Speech, Voxtral) for different requirements
- + Native macOS integration with menu bar access and optimized for Apple Silicon
✗ Cons
- − Only available for macOS, no support for Windows or Linux
- − Requires Apple Silicon Mac for optimal performance with all models
Use Cases
- → Transcription of meetings and interviews directly on Mac without cloud upload
- → Quick conversion of voice notes to text for content creators
- → Local subtitle creation for videos with a privacy-first approach
- → Accessible text creation from audio files for documentation
Who is it for?
Developers, content creators, and Mac users who need fast, privacy-friendly audio transcription without cloud dependency.
Tags
What is Petal?
Petal is a native macOS app that enables audio transcription directly from the menu bar. All processing happens locally on the device, with no audio data leaving the system. This makes Petal particularly relevant for scenarios where confidentiality matters: interviews, internal meetings, or documentation with sensitive content. The app is available as an open-source project on GitHub and is optimised specifically for Apple Silicon.
Core features
- Multiple transcription engines: Petal supports Apple Speech, Whisper, Qwen, and Voxtral. Accuracy, resource requirements, and language support vary depending on the model.
- Fully local processing: No cloud connection, no network required. Audio stays on the Mac.
- Menu bar integration: Access is via the macOS menu bar, with no separate app window in the foreground.
- Copy/paste workflow: Transcribed text can be copied directly and pasted into other applications.
- Optimised for Apple Silicon: The performance of compute-intensive models such as Whisper requires an M-series chip.
Who is Petal for?
Developers who want to convert voice notes to text quickly without opening an external tool will benefit from the streamlined menu bar access. Content creators can transcribe audio recordings locally and process them further without uploading files. Anyone creating subtitles for videos who does not want to send audio data to external services will find a clear advantage in local processing. Petal requires an Apple Silicon Mac. Users on Intel MacBooks, or those who depend on Windows or Linux, will find this tool of limited use.
Context & alternatives
Petal belongs to a growing category of local speech-to-text tools that emerged in response to cloud-based services. Anyone already familiar with OpenAI Whisper will find in Petal a macOS-native interface for it, supplemented by additional models. Alternatives with a similar privacy focus include Whisper-based desktop apps such as MacWhisper, and running Whisper directly via the command line. The difference: Petal bundles multiple engines into a single menu bar app. Users who switch between models frequently, or need to cover different use cases, avoid the context-switching between tools that would otherwise be required.
