Meta's Muse Voice Transcribe speech-to-text over the Meta developer API - 25 languages with code-switching (Korean included), speaker diarization, endpointing, keyword and language biasing. Billed per second of audio (0.11625 credits/s, about 7 credits per minute), up to 10 minutes per request.
Test this model instantly in the Console Playground โ no code required
Copy usage instructions for Claude, ChatGPT, or other AI
curl -X POST "https://api.core.today/v1/predictions" \
-H "Content-Type: application/json" \
-H "X-API-Key: cdt_your_api_key" \
-d '{
"model": "meta/muse-voice-transcribe-1.0",
"input": {
"audio": "https://replicate.delivery/mgxm/e5159b1b-508a-4be4-b892-e1eb47850bdc/OSR_uk_000_0050_8k.wav",
"mode": "PUSH_TO_TALK",
"language_bias": [
"English"
]
}
}'| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
audio | string | Yes | - | Audio file URL (mp3, m4a, wav, ogg, webm, mp4 audio track). Normalized to mono 16-bit PCM WAV at 24 kHz before upload. Max 10 minutes per request. |
mode | string | No | PUSH_TO_TALK | PUSH_TO_TALK returns one transcript; ENDPOINTING splits into turns at speech boundaries; DIARIZATION additionally labels speakers. PUSH_TO_TALKENDPOINTINGDIARIZATION |
keywords | array | No | - | Names, acronyms or product terms to bias recognition toward. |
language_bias | array | No | - | Language hint (steers recognition, does not force it). Omit for automatic detection across all 25 languages. ArabicBengaliDutchEnglishFrenchGermanHebrewHindiIndonesianItalianJapaneseKannadaKoreanMalayMandarin ChineseMarathiPolishPortugueseSpanishTagalogTamilTeluguThaiTurkishVietnamese |
There are 3 ways to provide files for the audio parameter:
Pass a publicly accessible URL directly. With the Storage API (POST /v1/files/upload-url) the file uploads straight to S3 (50MB per file) and you pass the returned file_url.
{
"model": "meta/muse-voice-transcribe-1.0",
"input": {
"prompt": "your prompt here",
"audio": "https://example.com/image.jpg"
}
}Attach files directly to POST /v1/predictions/upload. No separate upload step, but the bytes pass through the API server so the whole request is capped at 10MB.
curl -X POST "https://api.core.today/v1/predictions/upload" \
-H "X-API-Key: cdt_your_api_key" \
-F "model=meta/muse-voice-transcribe-1.0" \
-F 'input={"prompt":"your prompt here"}' \
-F "file:audio=@your_file.png"Common parameters used when calling POST /v1/predictions.
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
model | string | Yes | - | Model identifier |
input | object | Yes | - | Object containing the model-specific parameters from the table above |
output_folder | string | No | - | Folder path for output files (max 256 chars, '..' not allowed) |
webhook_url | string | No | - | Webhook URL to call on completion |
is_public | boolean | No | false | If true, output files are also available via permanent public URLs |
Returns a single transcript for an English recording.
curl -X POST "https://api.core.today/v1/predictions" \
-H "Content-Type: application/json" \
-H "X-API-Key: cdt_your_api_key" \
-d '{
"model": "meta/muse-voice-transcribe-1.0",
"input": {
"audio": "https://replicate.delivery/mgxm/e5159b1b-508a-4be4-b892-e1eb47850bdc/OSR_uk_000_0050_8k.wav",
"mode": "PUSH_TO_TALK",
"language_bias": [
"English"
]
}
}'DIARIZATION mode returns turns with speaker, startMs and endMs; keywords bias product names.
curl -X POST "https://api.core.today/v1/predictions" \
-H "Content-Type: application/json" \
-H "X-API-Key: cdt_your_api_key" \
-d '{
"model": "meta/muse-voice-transcribe-1.0",
"input": {
"audio": "https://example.com/meeting.m4a",
"mode": "DIARIZATION",
"keywords": [
"Core.Today",
"Seedance"
],
"language_bias": [
"Korean",
"English"
]
}
}'POST /v1/predictions