WhisperKit

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WhisperKit is an Open Source Audio & Music tool that provides on-device speech AI for Apple Silicon. It offers speech-to-text, text-to-speech, and speaker diarization capabilities, enabling real-time transcription and audio generation.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is WhisperKit?

WhisperKit is an open-source framework designed for on-device speech AI on Apple Silicon, offering robust speech-to-text, text-to-speech, and speaker diarization functionalities. It leverages Core ML to run models like OpenAI Whisper, Pyannote, and Qwen-TTS directly on macOS and iOS devices. Developers can integrate WhisperKit, TTSKit, and SpeakerKit into their Swift projects using Swift Package Manager or Homebrew. The tool supports real-time transcription, custom vocabulary, and a local server compatible with the OpenAI Audio API, allowing for transcription and translation with streaming output. TTSKit further enables custom voices and real-time streaming playback for generated audio, making it a comprehensive solution for advanced on-device audio processing.

Best used for

Ideal for developers who need to implement on-device speech-to-text, text-to-speech, and speaker diarization capabilities into their Apple Silicon applications. Especially valuable for creating apps that require real-time audio processing without relying on cloud services.

Common actions

transcribe audio

generate speech

identify speakers

integrate speech AI

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Capabilities

Key features

On-device speech-to-text
On-device text-to-speech
Speaker diarization
OpenAI Audio API compatible server
Real-time streaming transcription
Custom voices for TTS
Core ML integration

Target Audience

ios developersmacos developersai/ml engineersaudio application developers

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the system requirements for WhisperKit?

WhisperKit requires macOS 14.0 or later and Xcode 16.0 or later for general use. For TTSKit, macOS 15.0 or later and iOS 18.0 or later are necessary. These requirements ensure compatibility with the underlying Apple Silicon and Core ML technologies.

Can WhisperKit run custom fine-tuned Whisper models?

Yes, WhisperKit supports running custom fine-tuned Whisper models. You can use the associated whisperkittools repository to create and deploy your own CoreML versions of Whisper to HuggingFace, which can then be loaded by WhisperKit by specifying the model repository.

Does WhisperKit support real-time audio streaming for transcription?

Yes, WhisperKit's local server, which implements the OpenAI Audio API, supports output streaming capabilities for real-time transcription results. Additionally, TTSKit offers real-time streaming playback for generated audio, allowing it to start playing before generation is complete.

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AI Agents & Automation › AI Frameworks & Infra Coding & Development › Mobile Development Coding & Development › Open Source & Models

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