ElevenLabs Speech-to-Text

Convert audio files and speech to accurate text transcriptions using ElevenLabs' advanced AI speech recognition technology.

Note: Audio files must first be uploaded using the Asset API before transcription. The audioUrl parameter should contain the path returned from the Asset API upload.

Supported Models

• elevenlabs-speech-to-text: ElevenLabs Speech-to-Text transcription service

Parameters

Parameter	Type	Required	Description
type	string	Yes	Feature type, must be "SPEECH_TO_TEXT"
model	string	Yes	Model identifier, use "elevenlabs-speech-to-text"
promptObject.audioUrl	string	Yes	Path to audio file (uploaded via Asset API)

Endpoint

POSThttps://api.1min.ai/api/features

Request Headers

Field	Value
API-KEY	<api-key>
Content-Type	application/json

Supported Audio Formats

• MP3 - MPEG Audio Layer III
• WAV - Waveform Audio File Format
• M4A - MPEG-4 Audio
• FLAC - Free Lossless Audio Codec
• MP4 - MPEG-4 Part 14 (audio only)
• WEBM - WebM Audio
• OGG - Ogg Vorbis

Language Support

The API supports automatic language detection or you can specify:

• en - English
• es - Spanish
• fr - French
• de - German
• it - Italian
• pt - Portuguese
• ru - Russian
• ja - Japanese
• ko - Korean
• zh - Chinese
• ar - Arabic
• hi - Hindi

And many more languages supported by ElevenLabs.

Code Example

cURL

curl --location 'https://api.1min.ai/api/features' \
--header 'API-KEY: <api-key>' \
--header 'Content-Type: application/json' \
--data '{
"type": "SPEECH_TO_TEXT",
"model": "elevenlabs-speech-to-text",
"promptObject": {
  "audioUrl": "audios/2025_10_21_08_22_58_741_short.mp3"
}
}'

JavaScript

fetch('https://api.1min.ai/api/features', {
method: 'POST',
headers: {
  'Content-Type': 'application/json',
  'API-KEY': 'YOUR_API_KEY'
},
body: JSON.stringify({
  type: 'SPEECH_TO_TEXT',
  model: 'elevenlabs-speech-to-text',
  promptObject: {
    audioUrl: 'audios/2025_10_21_08_22_58_741_short.mp3'
  }
})
});

Python

import requests

url = "https://api.1min.ai/api/features"
headers = {
  "Content-Type": "application/json",
  "API-KEY": "YOUR_API_KEY"
}

data = {
  "type": "SPEECH_TO_TEXT",
  "model": "elevenlabs-speech-to-text",
  "promptObject": {
      "audioUrl": "audios/2025_10_21_08_22_58_741_short.mp3"
  }
}

response = requests.post(url, headers=headers, json=data)

Interactive Playground

Try the API directly in your browser:

API Playground

GETPOSTPUTDELETEhttps://api.1min.ai/api/features

AI Model *ElevenLabs Speech-to-Text

Audio URL *

Path to the audio file you want to transcribe (upload via Asset API first)

Generated cURL Command:

curl -X POST "https://api.1min.ai/api/features" \
  -H "API-KEY: <your-api-key>" \
  -H "Content-Type: application/json" \
  -d '{
  "type": "SPEECH_TO_TEXT",
  "model": "elevenlabs-speech-to-text",
  "promptObject": {
    "audioUrl": "audios/2025_10_21_08_22_58_741_short.mp3"
  }
}'

Use Cases

• Meeting Transcription: Convert recorded meetings and calls into searchable text
• Content Creation: Transcribe podcasts, interviews, and videos for accessibility
• Research: Convert research interviews and focus groups into analyzable text
• Legal Documentation: Transcribe depositions, hearings, and legal proceedings
• Education: Create transcripts of lectures, seminars, and educational content
• Media Production: Generate subtitles and captions for videos and broadcasts
• Customer Service: Transcribe customer calls for quality assurance and training

Tips for Best Results

1. Upload First: Use the Asset API to upload your audio file before transcription
2. Audio Quality: Use high-quality audio files with minimal background noise
3. File Size: Keep files under 50MB for optimal processing speed
4. Format: Use common formats like MP3, WAV, or M4A for best compatibility
5. Clear Speech: Ensure speakers speak clearly with minimal mumbling or fast speech
6. File Path: Use the exact audioUrl path returned from the Asset API upload

Error Handling

Common error scenarios and solutions:

• File not found: Ensure the audio file was uploaded via Asset API first
• Invalid audioUrl: Verify the path matches exactly what was returned from Asset API upload