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Creator workflow

Speech to Text

Transcribe interviews, voice notes, podcasts, and creator clips from one focused speech-to-text workspace built for captions and searchable transcripts.

1 model options

Pick by style, speed, and quality target.

Prompt-to-output flow

Clear examples with practical prompts.

One subscription

All your AI apps in one platform.

What you can create

  • Upload, record, or reuse audio from your library for queue-backed transcription.
  • Generate caption-ready transcripts with optional diarization and audio-event tagging.
  • Keep transcription jobs inside the same Dopamine.so workflow as your other AI apps.

Why creators use it

  • Turn source audio into draft captions faster without another subscription.
  • Create transcripts for interviews, explainers, and social clips from one app.
  • Keep transcription, generation, and asset reuse in the same Dopamine.so workspace.

Speech to Text examples

Speech-to-text examples that show how creators turn uploaded audio into caption-ready transcripts and searchable text.

Turn a podcast segment into caption-ready text

Generate a clean transcript for subtitles, repurposing, and search without leaving your main workflow.

Inputs

Input 1 · Podcast audio clip

Output · Transcript preview

Speaker 1: Welcome back. Today we're breaking down three ways creators can turn one long recording into clips, captions, and searchable notes. Speaker 2: The fastest path is to transcribe first, trim the strongest moments, and then reuse the text for social captions and blog drafts.

Transcription setup

Use ElevenLabs Scribe V2 with diarization enabled and audio-event tagging enabled to transcribe a short podcast conversation into caption-ready text.

Input generation prompts

  1. Upload or pick the source audio you want to transcribe.
  2. Optional: set `eng` when you want English locked instead of auto-detect.
  3. Leave keyterms off for the base-price transcription path.

Convert an interview recording into searchable notes

Turn raw interview audio into text your team can scan, quote, and reuse across publishing workflows.

Inputs

Input 1 · Interview audio

Output · Interview transcript preview

Speaker 0: We wanted one subscription where the team could handle images, video, and transcripts together. Speaker 1: The biggest win was cutting the handoff time. Once the transcript landed, captions and summary drafts moved immediately.

Transcription setup

Transcribe a two-speaker interview recording with diarization enabled so the final text can be reviewed, quoted, and turned into article notes.

Input generation prompts

  1. Upload the interview recording from your library.
  2. Enable diarization when multiple speakers need to stay separated in the transcript.
  3. Use auto-detect if the recording language may vary across clips.

Available models

Scribe V2

Speech to Text

ElevenLabs speech-to-text for transcripts, subtitles, captions, and long-form audio cleanup.

ElevenLabs · March 3, 2025

Open model page