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AUDIO TO TEXT · KEEP IT VERIFIABLE

How to transcribe a podcast

Automatic speech recognition is a fast first draft. It is less dependable when speakers overlap, names are unusual or a recording contains music. The publishing step is a human review, not a download button.

  • 4steps
  • 3 minread
  • 3questions

The short answer

Use a clean recording, generate a transcript in the right language, correct it while listening, label speakers and export as readable text or timed captions depending on the destination.

  • Correct proper nouns and numbers
  • Review speaker changes
  • Use TXT for reading and SRT/VTT for captions

From recording to publishable text

0 / 4 steps · Progress is saved in this browser

  1. Preserve source audio

    Keep your original recording. If you have separate speaker tracks, retain them for easier review.

  2. Create the draft

    Select the language and process a short sample first. Note where background music or crosstalk causes errors.

  3. Listen and correct

    Focus first on names, figures, negations and speaker identities. Then adjust punctuation for reading without changing meaning.

  4. Export for use

    Create a readable web transcript, subtitle file or quote sheet. Verify timecodes in the destination player.

Example

One missing word matters

“We do not recommend doubling the dose” becomes unsafe if the system drops “not.” Prioritize critical claims over cosmetic punctuation changes.

Choose the right output

Full transcript

Useful for accessibility, research and searching the conversation.

Frequently asked questions

How accurate is AI transcription?

Accuracy varies with recording quality, accents and subject matter. Test your own audio and count meaningful errors.

What is diarization?

Assigning segments of speech to different speakers; automatic labels still need correction.

Can Spotify display transcripts?

Spotify documents transcript management for creators, with availability and options that can vary by account.

Spotify transcript management ↗

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