Whisperly
Whisperly is a Mac menu bar app that enables voice-to-text dictation with automatic clean-up. It can be activated via a hotkey (default ⌥ Space) to toggle recording, or by holding ⌥ for push-to-talk. The app removes filler words and hesitations, delivering polished text ready to paste. It works system-wide, inserting text directly into any focused field—editors, chats, email drafts, or search bars—without needing to switch windows. Whisperly supports about 99 languages with auto-detection and offers a translation mode that converts spoken input from one language to another. The app learns custom vocabulary, such as names and specialized terms, to improve accuracy. Users can adjust the tone of the output between preserve, neutral, casual, and formal. Whisperly runs natively on macOS 13 or later on both Apple Silicon and Intel Macs. A free tier is available with a Pro plan for unlimited usage.
- Category
- B2C
- Pricing
- Free
Problem solved
Whisperly solves slow and error-prone typing by letting users speak naturally and instantly receiving clean, correctly spelled text in any Mac application. It eliminates manual transcription and common dictation errors, speeding up text entry across all tasks.
Use cases
- Dictating clean text into any Mac app
- Writing messages in Slack, WhatsApp, or Discord
- Filling issue trackers like Linear or Jira
- Speaking prompts into Claude Code or other AI tools
- Composing emails in Gmail or Apple Mail
- Taking notes in Notion or Obsidian
Audience
- Developers
- Business Users
- Content Creators
- Product Managers
Pros
- Instant text insertion without copy-paste
- Automatic filler word removal for clean output
- Works in any Mac app with a text field
- Vocabulary learning for accurate spelling
- Supports ~99 languages and tone customization
Cons
- Only available for macOS
- Free tier may have usage limits
- Not a full transcription tool—designed for short text
- Requires granting accessibility and microphone permissions
- Push-to-talk hold may be awkward for long dictation
Official website: https://whisperly.io/
Canonical LambdaBase page: https://www.lambdabase.com/tools/whisperly