Transcribe Voice Recorder recordings to text

Transcribe recordings from any AI voice recorder (Anker SoundCore Work, Plaud, dictaphones) in 100+ languages with speaker labels, and no per-device subscription.

Transcribe your Voice Recorder free See pricing

10 min free every month • No credit card • Unlimited from $9.99/mo

How to transcribe a Voice Recorder recording

  1. 1
    Get your recording. Record on your device → export the audio file (USB, the app, or AirDrop) → upload here
  2. 2
    Upload to CATT. Drag and drop your MP3, M4A, or WAV audio file or paste the link.
  3. 3
    Get the transcript + summary. AI transcription produces the transcript, then the AI model generates summary, action items, and email draft. Usually under 4 minutes for a 1-hour file.
Accepted sources: Audio exported from voice recorders, dictaphones, and recording apps (MP3, M4A, WAV)

What you get from a Voice Recorder transcript

Full transcript with speaker labels + clickable timestamps
AI summary in the language of the audio
Action items extracted with owner + deadline when mentioned
Decisions made during the recording
Ready-to-send email draft summarizing the call
Export as TXT, SRT, VTT, or JSON

Other platforms we transcribe

Transcribe Zoom

Get a full meeting recap with action items, decisions, and an email draft you can send out before the next standup

Transcribe Google Meet

Skip the manual notes. Get speaker-labeled transcripts and action items as soon as the meeting ends.

Transcribe Microsoft Teams

Better summaries than Copilot for the use cases Copilot wasn't trained on (research interviews, lectures, long-form discussions)

Transcribe Loom

Get a clean text version of async walkthroughs for documentation, support tickets, or onboarding wikis

Transcribe Your Online Video

Get show notes for a podcast episode you produced, study notes from a recorded lecture, pull-quotes from an interview you filmed, or chapter markers for republishing your own content

Transcribe Twitter / X Space

Spaces are great live, hard to reference after. A searchable transcript turns them into an asset.