by ElevenlabsReleased 7 October 2026
Transcribes audio in 90+ languages with word-level timestamps, optional speaker diarization and audio-event tagging, for any subject where Scribe v2 Medical is the one tuned for clinical terms
You pay for what each request uses. No subscription, no minimum.
One minute of audio, the ordinary use
Every rate
| Meter | ↑ you send | ↓ comes back |
|---|---|---|
| Second of audio | 0,020 DA |
per second of audio sent
One company runs this model. OpenDunes sends every request to it.
| Provider | Per second of audio | Latency | Uptime |
|---|---|---|---|
| ElevenLabs | 0,020 DA | … | … |
You pay the price of the provider that served your request. Prices read 15:18 · speed over the last 30 minutes · uptime over 3 days.
Swap the base URL and the key. Your OpenAI code runs unchanged.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://opendunes.com/v1",
api_key=os.environ["OPENDUNES_API_KEY"],
)
with open("meeting.mp3", "rb") as f:
resp = client.audio.transcriptions.create(model="elevenlabs/scribe-v2", file=f)
print(resp.text)Runs this request once on your balance.
About 1,22 DA per minute of audio. ↑ 0,020 DA per second of audio.
No. You pay per use from your balance, with no subscription. Try it in Chat at the same price.
Transcribes audio in 90+ languages with word-level timestamps, optional speaker diarization and audio-event tagging, for any subject where Scribe v2 Medical is the one tuned for clinical terms.
Scribe v2 Medical costs the same for the same minute of audio.
Deposit dinars with your Edahabia or CIB card. Every model, Scribe v2 included, is paid from that balance. No foreign card, no conversion.
Elevenlabs names no languages for Scribe v2. Arabic, French and Darja: not stated.
Speaker labels: yes. Word timings: yes.
Up to 25 MB as an upload. Longer audio goes in the request body.
Elevenlabs. Released 7 October 2026.
Eleven v4 Turbo turns text into expressive speech with low latency, keeping v4's audio tags and delivery while generating faster across more than 90 languages
Eleven v4 is ElevenLabs' most expressive voice model: you write cues into the text to steer emotion and delivery, and get speech back in 90+ languages. Requests take up to 10,000 characters, twice what v3 accepts. Pick it for character voiceovers, emotional dialogue and audiobooks.
Eleven Flash v2.5 reads text aloud in 32 languages and starts speaking in about 75 milliseconds, which suits voice assistants, chatbots and big batches of audio. One request can hold up to 40,000 characters. For finished narration or acted emotion, Multilingual v2 and Eleven v4 are the models built for it, not for live speed.
Scribe v2 Medical transcribes recorded speech in 90+ languages and is tuned for clinical vocabulary, so medical terms are recognised better. It marks the time of every word, labels who is speaking if you ask, and notes other sounds in the recording. Pick it for clinical documentation, dictation and patient intake calls.
From what its maker and two benchmark sites publish, and where it stands on OpenDunes. Read 7 Nov 2026.
Who said what
Labels each speaker in the transcript. Read in the maker's description.
Word timestamps
Gives the time each word was spoken. Read in the maker's description.
Label up to 32 speakers in a recorded meeting
Who said what
Time every word so subtitles can follow the speech
Word timestamps
Mark laughter and applause in the transcript of a recorded show