Transcribe Audio with ElevenLabs Scribe V1

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Transcribe any audio file with ElevenLabs Scribe V1 — faithful text, no paraphrasing, diarization where supported.

Transcribe audio with ElevenLabs Scribe V1 — faithful text, no paraphrase

Upload audio. Get text. No invention.

ElevenLabs multilingual STT — word timestamps, diarization, and audio-event tags. 99 languages. ElevenLabs Scribe V1 converts audio (or audio-rich video) into text without paraphrasing, summarizing, or censoring. Strengths: 99 languages, speaker diarization, audio event tagging. Use it for podcast transcripts, meeting notes, lecture captures, interview prep, and accessibility captions. Diarization, language hints, and custom vocabulary are exposed where the model supports them — picked up directly from the model's parameters.

How to transcribe audio with ElevenLabs Scribe V1

Five steps to a clean, citable transcript.

  1. Upload an audio (or audio-rich video) file. ElevenLabs Scribe V1 accepts the formats its provider supports — most common containers work.
  2. If ElevenLabs Scribe V1 surfaces a language hint, set it to the spoken language rather than relying on auto-detect for short clips.
  3. Toggle diarization on if ElevenLabs Scribe V1 supports it natively and your audio has multiple speakers.
  4. Submit; the run streams text as the model decodes (where supported) so you can verify alignment early.
  5. Copy or download the transcript; pipe into a summariser, fact-checker, or content-repurposing tool.

Where ElevenLabs Scribe V1 transcripts pay off

Use-cases that benefit from faithful text-from-audio.

Podcasts

Show notes & SEO

Turn every episode into searchable text for show notes and on-site SEO.

Meetings

Citable record

Generate citable transcripts of internal meetings, then summarize separately.

Interviews

Pull-quote sourcing

Stop scrubbing audio for the perfect quote — let ElevenLabs Scribe V1 do the heavy lifting.

Captions

Accessibility

Generate clean caption transcripts for video — pair with your editor of choice.

99 Languages

Why people pick this model

ElevenLabs Scribe V1 is consistently picked for 99 languages — it shows up first on ElevenLabs's own published model card and again in real-world side-by-side tests.

Speaker Diarization

Where it edges the competition

Speaker Diarization is the named differentiator on ElevenLabs Scribe V1 versus other ElevenLabs releases — useful when this is the axis that actually matters for your output.

Where ElevenLabs Scribe V1 fits in real workflows

Concrete use-cases that justify a dedicated landing page.

Why a dedicated ElevenLabs Scribe V1 workspace

And why pinning the model matters.

Transcription models differ on faithfulness — some paraphrase under load, some censor profanity, some quietly drop filler words. ElevenLabs Scribe V1 is a faithful-transcript model; it preserves what was said, including the rough edges you might want for cross-examination, citation, or accessibility. Strengths: 99 languages, speaker diarization, audio event tagging, word-level timestamps.

Pro tips for ElevenLabs Scribe V1

Small adjustments that meaningfully improve output quality.

  1. Provide language hints when ElevenLabs Scribe V1 surfaces them; auto-detect is great for long audio, expensive for ten-second clips.
  2. Enable diarization where ElevenLabs Scribe V1 supports it natively — speaker-tagged transcripts compound in value.
  3. Strip silence and bumper music before transcribing; cleaner audio is cheaper and faster.
  4. For multi-speaker meetings, ask the model to flag uncertain segments where it supports confidence outputs.
  5. Pipe the transcript into a summariser or fact-check tool — the value is downstream, not in the raw text.
  6. Keep raw transcripts and edited transcripts separate — you'll want the unedited one for citation later.

ElevenLabs Scribe V1 on Gab AI — frequently asked questions

What is ElevenLabs Scribe V1?

ElevenLabs Scribe V1 is an AI transcription model built by ElevenLabs. ElevenLabs multilingual STT — word timestamps, diarization, and audio-event tags. 99 languages. On Gab AI it's available as a standalone, pinned tool — runs through the same orchestrator, credits, and file pipeline as chat.

Is this tool free to use?

Anyone with a Gab AI account can run ElevenLabs Scribe V1. Each run deducts the model's per-request credit cost from your balance — there's no surprise per-month fee.

What does it cost per run with ElevenLabs Scribe V1?

Credit cost is set on the underlying ElevenLabs Scribe V1 model, not on this tool. The form recalculates and displays the exact cost as you change audio length and diarization settings, so you see the bill before you submit — never after.

What languages does ElevenLabs Scribe V1 support?

ElevenLabs Scribe V1 supports the languages its provider does — pick a language hint in the form when offered, otherwise auto-detect handles common languages well.

Does ElevenLabs Scribe V1 censor profanity?

No. ElevenLabs Scribe V1 returns a faithful transcript including filler and profanity. If you need a cleaned version, run the transcript through a downstream text tool — keep the raw transcript for citation.

Why a separate tool for every model?

Because every model is different and the multi-model picker quietly hides those differences. Pinning ElevenLabs Scribe V1 to its own tool gives you predictable cost, consistent style, and a fair lane for comparing one model's output against another's without confusing the cause of the difference.

Can I switch to a different model from here?

Yes — every model gets the same kind of landing page. Use the catalog at /tools to browse all model-playground tools, or pick a different one from the related tools section below.

Where do my runs go?

Every run lands in your Tool Runs (under My Library). You can revisit, download, fork, or continue any run in chat for follow-up work.

Ready to transcribe with ElevenLabs Scribe V1?

One model, one form, one good result.

Stop arguing with a model picker mid-project. Pin ElevenLabs Scribe V1 as your engine of choice, run the form above, and let the orchestrator handle credits, file storage, and run history exactly the way it does for chat. Everything you generate is yours, saved to your Tool Runs, and ready to fork or continue.