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What is Superwhisper?

Superwhisper is a voice-to-text tool that converts speech into written text across macOS, Windows, and iOS. It works within any application you're using, whether that's email, document editors, chat apps, or note-taking software. You can choose between offline speech recognition for privacy or cloud-based recognition for higher accuracy, with support for over 100 languages. The tool includes custom AI modes that let you tailor how text is transcribed and formatted. Security certifications include SOC 2 Type II compliance and HIPAA compatibility, making it suitable for healthcare and regulated industries. Superwhisper is available on a freemium basis, so you can test the core functionality at no cost.

Key Features

Offline and cloud speech recognition

Choose between processing audio locally on your device or sending it to the cloud for more accurate transcription

Works in any application

Dictate directly into email clients, document editors, chat platforms, and other software without switching between tools

100+ language support

Transcribe speech in many languages and language variants

Custom AI modes

Set up personalised transcription rules to handle specific terminology, formatting preferences, or writing styles

SOC 2 Type II and HIPAA certified

Meets compliance requirements for healthcare and other regulated sectors

Cross-platform availability

Use on macOS, Windows, and iOS from a single account

Pros & Cons

Advantages

  • Privacy-conscious option with offline processing available, so your audio can stay on your device
  • Works within existing applications without requiring workflow changes or switching between tools
  • Strong compliance credentials make it suitable for professional and healthcare use
  • Broad language coverage supports international users and multilingual workflows

Limitations

  • iOS support may be more limited than desktop platforms in terms of deep application integration
  • Custom AI modes require configuration and may need adjustment to work well with your specific needs
  • Offline recognition may not match the accuracy of cloud-based alternatives in complex audio scenarios

Use Cases

Healthcare professionals documenting patient notes and clinical observations while maintaining HIPAA compliance

Writers and journalists drafting content through speech rather than typing

Accessibility tool for users with mobility constraints or repetitive strain injuries

Customer service representatives transcribing calls and interactions in real time

Multilingual professionals working across different languages throughout their day