AI Transcription · 5 tools
Compare AI transcription tools that turn audio and video into text — with speaker labels, timestamps, subtitles, meeting notes, and support for 100+ languages.
AI transcription uses automatic speech recognition (ASR) to convert spoken audio or video into written text without a human typist. It can tell speakers apart, add timestamps, and clean up filler words as it goes. Tools range from meeting note-takers that join your calls to bulk transcribers for interviews, podcasts, and video subtitles.
Automatically capture Zoom, Teams, or Meet calls and turn them into searchable notes and action items.
Transcribe interviews and focus groups so quotes stay accurate and easy to search back through.
Generate show transcripts and burned-in captions to make episodes accessible and indexable.
Record lectures and convert them into study notes you can skim, highlight, and revisit.
An acoustic model breaks your audio into sound units and maps them to words, while a language model picks the most likely phrasing from context. A separate diarization step clusters voice fingerprints to decide who spoke when, and timestamps are attached to each segment. Many tools then run the transcript through an LLM to produce a summary, chapters, or action items.
