DR 21
Voice AI assistant for macOS. Hold to speak. She takes it from there.
Speech to Text AI · 6 tools
Compare speech-to-text AI tools for transcription, live captions, meeting notes, subtitles, and voice dictation — from real-time engines to multilingual audio-to-text.
Speech-to-text AI, also called automatic speech recognition (ASR), converts spoken audio into written text. A model listens to a recording or live stream, identifies the words, and outputs a transcript with timing, usually adding punctuation and speaker labels. Tools range from real-time captioning engines to batch transcription services for interviews, meetings, and video.
Turn calls, interviews, and meetings into searchable transcripts and summaries automatically.
Generate SRT and VTT captions for videos, podcasts, and social clips at scale.
Give deaf and hard-of-hearing audiences real-time captions for events and classrooms.
Write documents, emails, and notes by speaking instead of typing.
The model turns audio into short spectrogram frames and maps their sound patterns to the most likely words, using acoustic and language models trained on large speech datasets. Modern systems use end-to-end neural networks, often Transformer-based like Whisper, that predict text directly from those audio features. Extra passes add punctuation, separate speakers, and align each word to a timestamp.