tl;dv
by tl;dvIt suits people and teams that want bot-captured meetings, transcripts, summaries, and follow-up tasks.
Speech-to-text software turns spoken audio into text, whether you need to work with live capture or recordings. Compare capture modes and supported languages with speaker labels and offline transcription to see which transcription capabilities fit your needs. Desktop and mobile apps may suit different recording setups, while API access is another point to consider for connected workflows. Free-plan availability and paid-from pricing add cost context. Happy Scribe, Notta, and tl;dv are among the options, alongside MacWhisper and Transkriptor. Match the listed capabilities to how you capture, process, and use transcripts.
It suits people and teams that want bot-captured meetings, transcripts, summaries, and follow-up tasks.
Fathom suits people and teams that need recorded meeting transcripts, summaries, and follow-up actions.
iPhone & iPadWebWindows+3Happy Scribe suits people who need transcripts, subtitles, or translations for meetings and recordings.
AndroidiPhone & iPadMac+1Speechmatics may suit developers and organizations building transcription, voice-agent, or text-to-speech workflows.
WebWindowsMac+3Notta suits people who need transcripts and summaries from meetings or recordings, including teams that want shared workspaces and administration controls.
AndroidiPhone & iPadWeb+3Otter.ai suits individuals and teams who want searchable meeting transcripts, summaries, and action items.
Gladia suits developers building transcription or audio-processing workflows who need API access, streaming options, or language coverage.
Transkriptor suits people who need transcripts with speaker labels or timestamps, including users working across its listed meeting platforms.
It suits people who want spoken input in browser-based text fields across desktop systems or Chromebooks.
It suits developers and researchers building speech applications or running transcription locally.
MacWhisper suits people who need to transcribe or translate recordings, create subtitles, or dictate across Mac and iOS.
Vosk suits developers building speech recognition into applications that need offline operation, streaming, or configurable vocabulary.
Leopard suits developers building applications that transcribe recorded speech and need word-level timing or speaker tags.
AssemblyAI suits developers building transcription, speech-analysis, or voice applications who want API access.
ElevenLabs may suit creators and developers working with speech or audio, including those who need API access or voice cloning.
This service suits developers integrating transcription, speaker labeling, timestamps, or subtitle export through APIs.
It suits developers and teams that need speech-to-text for live streams or recorded audio, including medical transcription and call analytics workflows.
Buzz suits people who need desktop transcription or translation across Linux, macOS, or Windows.