ElevenLabsEleven Scribe v2 API

Name: Eleven Scribe v2 API
Price: 0.008 USD
Author: ElevenLabs

Transcribe speech from audio or video, with word timings and speaker labels.

Audio or Video

Billed at this model’s published rate.

Result

Other models from ElevenLabs

Same vendor, same API call — the differences are below.

Model	Use case	Price	Resolution	Duration	Added
Eleven Dialogue v4	Text → Speech	from $0.132 / min	—	—	Sep 2026
Eleven v4	Text → Speech	from $0.08 / 1K chars	—	—	Sep 2026
Eleven v4 Turbo	Text → Speech	from $0.145455 / 1K chars	—	—	Sep 2026
Eleven Video to Music	Video → Audio	from $0.60 / min	—	—	Sep 2026
Eleven Dialogue v3	Text → Speech	from $0.132 / min	—	—	Sep 2026
ElevenLabs Music v2	Music	from $0.60 / min	—	10–600s	Jul 2026
Eleven Audio Isolation	Audio → Speech	from $0.132 / min	—	—	Mar 2026
Eleven Dubbing	Audio → Speech	from $0.60 / min	—	—	Mar 2026

Install the SDK

TypeScript targets Node 20+ and ships with types; Python needs 3.10+ and is async. Over REST there is nothing to install: call https://api.picsart.com from any HTTP client.

bash

npm install @picsart/ai-sdk

Authenticate

Send your Picsart API key as a bearer token. The SDK does it for you once the client is created.

import { createClient } from '@picsart/ai-sdk';

const ai = createClient({
  apiKey: process.env.PICSART_API_KEY, // sent as: Authorization: Bearer <key>
  apiUrl: 'https://api.picsart.com',
});

python

import os

from picsart_ai_sdk import create_client

ai = create_client(
    api_key=os.environ["PICSART_API_KEY"],  # sent as: Authorization: Bearer <key>
    api_url="https://api.picsart.com",
)

Make a request

Call the model by its id. Over REST, one endpoint serves every model: POST /workflows/v1/models/execute with the model id and its input in the body. The outer params is the envelope every workflow takes; the inner one is this model's input, with the same names generateText() / generate_text() takes.

import { createClient } from '@picsart/ai-sdk';

const ai = createClient({
  apiKey: process.env.PICSART_API_KEY,
  apiUrl: 'https://api.picsart.com',
});

const { text } = await ai.generateText('eleven-speech-to-text', {
  audioUrl: "https://cdn.example.com/input.mp3"
});

console.log(text);

python

import asyncio
import os

from picsart_ai_sdk import create_client


async def main() -> None:
    async with create_client(
        api_key=os.environ["PICSART_API_KEY"],
        api_url="https://api.picsart.com",
    ) as ai:
        res = await ai.generate_text("eleven-speech-to-text", {
            "audioUrl": "https://cdn.example.com/input.mp3",
        })

        print(res.text)


asyncio.run(main())

bash

curl -X POST 'https://api.picsart.com/workflows/v1/models/execute' \
  -H 'Authorization: Bearer $PICSART_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "params": {
    "model": "eleven-speech-to-text",
    "params": {
      "audioUrl": "https://cdn.example.com/input.mp3"
    }
  }
}'

Parameters

7 parameters, the same for the SDK and for the inner params over REST. Required ones must be supplied; the rest fall back to their defaults.

Parameter	Type	Required	Default	Details
`audioUrl` The audio to work on, as a URL.	`file (audio)`	yes	`—`	—
`language` Language of the speech or text, as an ISO code such as en.	`text`	no	`—`	e.g. "e.g. en, rus — omit to auto-detect"
`diarize` Label who is speaking.	`boolean`	no	`false`	—
`numSpeakers` How many speakers to expect.	`range`	no	`1`	1–32 (step 1)
`timestampsGranularity` Whether timings are per word or per character.	`enum`	no	`word`	word, character
`tagAudioEvents` Mark non-speech sounds such as laughter or music.	`boolean`	no	`false`	—
`seed` Seed for the random generator. The same seed and inputs repeat a result; leave it out for a random one.	`range`	no	`—`	0–2147483647 (step 1)

Response

generateText() resolves to the generated text. Over REST the output is at response.result, inside the gateway's status envelope with the task id, its status and the amount charged.

json

{
  "text": "…generated text…",
  "model": "eleven-speech-to-text"
}

json

{
  "status": "success",
  "response": {
    "id": "task_abc123",
    "status": "COMPLETED",
    "result": {
      "text": "…generated text…",
      "model": "eleven-speech-to-text"
    }
  }
}

Overview

Alongside the unified model APIs, we expose compatibility APIs that take each vendor's original parameters exactly as the vendor defines them — nothing renamed, nothing reshaped on the way through.

That makes them the shortest path onto Picsart if you already work with the vendor directly: the request bodies you've already written keep working as they are. You keep their parameter names and defaults, and you get the vendor's full parameter set rather than the subset that is shared across every model.

The cost is that a request is written for one vendor — switching models later means rewriting it, and results come back in the vendor's own shape. When you'd rather write once and change models freely, use the unified API.

Make a request

Call the workflow with ai.apis.run() in TypeScript or Python, or hit /workflows/{workflow}/execute directly — params is passed through untouched either way.

These endpoints are addressed by workflow name rather than model id: the one in this model's header, since one model runs as one workflow. Authentication is unchanged — your Picsart API key as a bearer token (see Authentication).

import { createClient, ApiRunMode } from '@picsart/ai-sdk';

const ai = createClient({
  apiKey: process.env.PICSART_API_KEY,
  apiUrl: 'https://api.picsart.com',
});

// Calls the 'elevenlabs/v1/speech-to-text' workflow directly — params are sent as-is.
const { result, usage } = await ai.apis.run('elevenlabs/v1/speech-to-text', {
  audio_url: "https://cdn.example.com/audio/input.mp3"
}, {
  mode: ApiRunMode.SYNC,
});

console.log(result); // workflow-specific output
console.log(usage?.credits); // amount charged, in $

python

import asyncio
import os

from picsart_ai_sdk import ApiRunMode, create_client


async def main() -> None:
    async with create_client(
        api_key=os.environ["PICSART_API_KEY"],
        api_url="https://api.picsart.com",
    ) as ai:
        # Calls the 'elevenlabs/v1/speech-to-text' workflow directly — params are sent as-is.
        response = await ai.apis.run("elevenlabs/v1/speech-to-text", {
            "audio_url": "https://cdn.example.com/audio/input.mp3",
        }, mode=ApiRunMode.SYNC)

        print(response["result"])  # workflow-specific output
        print((response.get("usage") or {}).get("credits"))  # amount charged, in $


asyncio.run(main())

bash

curl -X POST 'https://api.picsart.com/workflows/elevenlabs/v1/speech-to-text/execute' \
  -H 'Authorization: Bearer $PICSART_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
  "params": {
    "audio_url": "https://cdn.example.com/audio/input.mp3"
  }
}'

Parameters

9 parameters, sent inside params. These are the vendor's own names, so they line up one-for-one with the vendor's documentation. Required ones must be supplied; the rest fall back to their defaults.

Parameter	Type	Required	Default	Details
`audio_url` URL of the audio or video file to transcribe	`string`	yes	`—`	e.g. `https://cdn.example.com/audio/input.mp3`
`model_id` The transcription model to use	`string`	no	`scribe_v2`	`scribe_v2`
`language_code` ISO 639-1 or 639-3 language code. Omit to let the model detect the language	`string`	no	`—`	e.g. `en`
`diarize` Annotate which speaker is talking in each word	`boolean`	no	`—`	—
`num_speakers` How many speakers are in the audio. Omit to let the model decide	`number`	no	`—`	1–32
`timestamps_granularity` Granularity of the returned timestamps	`string`	no	`—`	`wordcharacter`
`tag_audio_events` Tag non-speech events such as (laughter) in the transcript	`boolean`	no	`—`	—
`temperature` Sampling temperature. Higher values transcribe more freely	`number`	no	`—`	0–2
`seed` Seed for deterministic transcription	`number`	no	`—`	0–2147483647

Response

Over HTTP the output arrives inside a status envelope, at response.result. ai.apis.run() unwraps that envelope for you and resolves to { result, usage } instead. Either way the result itself is the vendor's own shape.

json

{
  "result": {
    "text": "…",
    "language_code": "…",
    "language_probability": 0,
    "words": [
      {
        "text": "…",
        "type": "…",
        "start": 0,
        "end": 0,
        "speaker_id": "wf_abc123",
        "characters": [
          {}
        ]
      }
    ],
    "audio_duration_secs": 0,
    "transcription_id": "wf_abc123"
  }
}

json

{
  "status": "success",
  "response": {
    "id": "wf_abc123",
    "status": "COMPLETED",
    "result": {
      "text": "…",
      "language_code": "…",
      "language_probability": 0,
      "words": [
        {
          "text": "…",
          "type": "…",
          "start": 0,
          "end": 0,
          "speaker_id": "wf_abc123",
          "characters": []
        }
      ],
      "audio_duration_secs": 0,
      "transcription_id": "wf_abc123"
    }
  }
}

ElevenLabsEleven Scribe v2 API

Params

Result

Other models from ElevenLabs

Install the SDK

Authenticate

Make a request

Parameters

Response

Overview

Make a request

Parameters

Response

Rates