ElevenLabs Speech to Text Speech to Text

fal-ai/elevenlabs/speech-to-text
Generate text from speech using ElevenLabs advanced speech-to-text model.
Inference
Commercial use
Partner

About

ElevenLabs Speech to Text: Transcribe audio with high accuracy.

Transforms spoken audio into text with word-level timestamps and optional speaker identification. Supports 99 languages with state-of-the-art accuracy.

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.

import { fal } from "@fal-ai/client";

const result = await fal.subscribe("fal-ai/elevenlabs/speech-to-text", {
  input: {
    audio_url: "https://v3.fal.media/files/zebra/zJL_oRY8h5RWwjoK1w7tx_output.mp3"
  },
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In case your app is running in an environment where you cannot set environment variables, you can set the API Key manually as a client configuration.
import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_KEY"
});

3. Queue#

Submit a request#

The client API provides a convenient way to submit requests to the model.

import { fal } from "@fal-ai/client";

const { request_id } = await fal.queue.submit("fal-ai/elevenlabs/speech-to-text", {
  input: {
    audio_url: "https://v3.fal.media/files/zebra/zJL_oRY8h5RWwjoK1w7tx_output.mp3"
  },
  webhookUrl: "https://optional.webhook.url/for/results",
});

Fetch request status#

You can fetch the status of a request to check if it is completed or still in progress.

import { fal } from "@fal-ai/client";

const status = await fal.queue.status("fal-ai/elevenlabs/speech-to-text", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
  logs: true,
});

Get the result#

Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.

import { fal } from "@fal-ai/client";

const result = await fal.queue.result("fal-ai/elevenlabs/speech-to-text", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);

4. Files#

Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.

Data URI (base64)#

You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.

Hosted files (URL)#

You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.

Uploading files#

We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.

import { fal } from "@fal-ai/client";

const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);

Read more about file handling in our file upload guide.

5. Schema#

Input#

audio_url string* required

URL of the audio file to transcribe

language_code string

Language code of the audio

tag_audio_events boolean

Tag audio events like laughter, applause, etc. Default value: true

diarize boolean

Whether to annotate who is speaking Default value: true

{
  "audio_url": "https://v3.fal.media/files/zebra/zJL_oRY8h5RWwjoK1w7tx_output.mp3",
  "language_code": "eng",
  "tag_audio_events": true,
  "diarize": true
}

Output#

text string* required

The full transcribed text

language_code string* required

Detected or specified language code

language_probability float* required

Confidence in language detection

words list<TranscriptionWord>* required

Word-level transcription details

{
  "text": "",
  "language_code": "",
  "words": [
    {
      "text": "",
      "type": ""
    }
  ]
}

Other types#

VoiceCloningRequest#

audio_urls list<AudioInput>* required

List of audio files to use for voice cloning

remove_background_noise boolean

Whether to remove background noise from the audio files Default value: true

File#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

TextToSpeechRequest#

text string* required

The text to convert to speech

voice string

The voice to use for speech generation Default value: "Rachel"

stability float

Voice stability (0-1) Default value: 0.5

similarity_boost float

Similarity boost (0-1) Default value: 0.75

style float

Style exaggeration (0-1)

AudioIsolationRequest#

audio_url string* required

URL of the audio file to isolate voice from

SoundEffectRequest#

text string* required

The text describing the sound effect to generate

duration_seconds float

Duration in seconds (0.5-22). If None, optimal duration will be determined from prompt.

prompt_influence float

How closely to follow the prompt (0-1). Higher values mean less variation. Default value: 0.3

TranscriptionWord#

text string* required

The transcribed word or audio event

start float* required

Start time in seconds

end float* required

End time in seconds

type string* required

Type of element (word, spacing, or audio_event)

speaker_id string

Speaker identifier if diarization was enabled

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