Voice-to-text

Voice-to-text (or speech-to-text) software converts spoken audio into written text in real time. Because speaking is typically 4–5x faster than typing, these tools can significantly accelerate any text-heavy workflow.

Modern AI-powered tools go beyond raw transcription: they remove filler words, fix grammar, apply punctuation, and format output to suit the context, producing clean written prose from natural speech.

Voice-to-text tools generally work by combining an acoustic model (to recognise phonemes from audio) with a language model (to interpret meaning and correct errors in context). Many are built on or inspired by OpenAI’s open-source Whisper model.

Examples include:

Wispr Flow — AI dictation app for Mac, Windows, iOS, and Android that works in any text field, with filler-word removal, tone adjustment, voice snippets, and developer-specific features such as camelCase/snake_case parsing.