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# Whisper Large v3 Turbo

> Controlled self-hosted Whisper Large v3 Turbo transcription with multilingual ASR, translation, VAD, timestamps, subtitles, hotwords, and decoder controls…

![Whisper Large v3 Turbo](https://media.empiriolabs.ai/model-logos/whisper-large-v3-turbo.png)

[OpenAI](/providers/openai) · Transcription

`POST /v1/audio/transcriptions`

Controlled self-hosted Whisper Large v3 Turbo transcription with multilingual ASR, translation, VAD, timestamps, subtitles, hotwords, and decoder controls exposed.

## At a glance

| Field               | Value                                                                          |
| ------------------- | ------------------------------------------------------------------------------ |
| Model id            | `whisper-large-v3-turbo`                                                       |
| Model release date  | 2024-10-01                                                                     |
| Input modalities    | Audio                                                                          |
| Output modalities   | Text                                                                           |
| Context window      | -                                                                              |
| Weight precision    | FP16                                                                           |
| Features            | transcription, translation, multilingual, word\_timestamps, hotwords, srt\_vtt |
| Native inference    | Yes                                                                            |
| New                 | No                                                                             |
| Supported endpoints | `POST /v1/audio/transcriptions`                                                |
| Alternate model ids | `openai/whisper-large-v3-turbo`                                                |

## Pricing

| Charge                   | Spec                | Rate                  |
| ------------------------ | ------------------- | --------------------- |
| Controlled transcription | per minute of audio | \$0.005 (was \$0.006) |

## Example request

```bash
curl https://api.empiriolabs.ai/v1/audio/transcriptions \
  -H 'Authorization: Bearer $EMPIRIOLABS_API_KEY' \
  -F model=whisper-large-v3-turbo \
  -F file=@meeting.mp3
```

## Parameters

| Parameter                         | Type    | Required | Default                 | Description                                                                                          |
| --------------------------------- | ------- | -------- | ----------------------- | ---------------------------------------------------------------------------------------------------- |
| `audio_url`                       | string  | no       | -                       | URL of the audio file to transcribe. Mutually exclusive with audio\_base64.                          |
| `audio_base64`                    | string  | no       | -                       | Base64-encoded audio bytes. Mutually exclusive with audio\_url.                                      |
| `audio_suffix`                    | string  | no       | `".audio"`              | File extension hint (mp3, wav, m4a, etc.) when the audio source has no recognizable extension.       |
| `language`                        | string  | no       | -                       | ISO 639-1 language code (en, es, fr, etc.). Leave blank for auto-detection.                          |
| `task`                            | enum    | no       | `"transcribe"`          | transcribe = same language, translate = translate to English. · Allowed: `transcribe`, `translate`   |
| `beam_size`                       | integer | no       | `5`                     | Beam search width. Higher = more accurate but slower. · Range: 1 – 32                                |
| `best_of`                         | integer | no       | `5`                     | Number of candidates to sample with temperature > 0. · Range: 1 – 32                                 |
| `patience`                        | number  | no       | `1.0`                   | Beam search patience factor. Higher = explore more candidates. · Range: 0.0 – 10.0                   |
| `length_penalty`                  | number  | no       | `1.0`                   | Penalty applied to longer transcripts. Negative encourages shorter output. · Range: -10.0 – 10.0     |
| `repetition_penalty`              | number  | no       | `1.0`                   | Penalty for repeating tokens. >1 reduces repetition. · Range: 0.1 – 5.0                              |
| `no_repeat_ngram_size`            | integer | no       | `0`                     | Block any n-gram of this size from repeating in the output. · Range: 0 – 20                          |
| `temperature`                     | string  | no       | `"0,0.2,0.4,0.6,0.8,1"` | Sampling temperature. 0 = deterministic, higher = more variation.                                    |
| `compression_ratio_threshold`     | number  | no       | `2.4`                   | Treat output with compression ratio above this as failed and retry.                                  |
| `log_prob_threshold`              | number  | no       | `-1.0`                  | Treat segments with average log-prob below this as failed and retry.                                 |
| `no_speech_threshold`             | number  | no       | `0.6`                   | Mark a segment as silent when no-speech probability exceeds this AND log-prob is below threshold.    |
| `condition_on_previous_text`      | boolean | no       | true                    | Use prior transcript as conditioning for the next segment.                                           |
| `prompt_reset_on_temperature`     | number  | no       | `0.5`                   | Reset the conditioning prompt when temperature falls back during retry. · Range: 0.0 – 1.0           |
| `initial_prompt`                  | string  | no       | -                       | Initial text prompt to guide vocabulary and style.                                                   |
| `prefix`                          | string  | no       | -                       | Text to prepend to the first segment's transcript.                                                   |
| `suppress_blank`                  | boolean | no       | true                    | Suppress empty outputs at the start of each segment.                                                 |
| `suppress_tokens`                 | string  | no       | `"-1"`                  | Comma-separated token IDs to suppress during decoding.                                               |
| `without_timestamps`              | boolean | no       | false                   | Strip per-segment timestamps from the response.                                                      |
| `word_timestamps`                 | boolean | no       | false                   | Include per-word timestamps in the response.                                                         |
| `prepend_punctuations`            | string  | no       | -                       | Punctuation characters to merge with the following word.                                             |
| `append_punctuations`             | string  | no       | -                       | Punctuation characters to merge with the preceding word.                                             |
| `max_initial_timestamp`           | number  | no       | `1.0`                   | Cap the first segment's start time to this many seconds. · Range: 0.0 – 30.0                         |
| `multilingual`                    | boolean | no       | false                   | Allow language switching within a single audio file.                                                 |
| `vad_filter`                      | boolean | no       | true                    | Apply Silero VAD to remove silence before decoding.                                                  |
| `vad_parameters`                  | object  | no       | -                       | VAD configuration as JSON (threshold, min\_speech\_duration\_ms, etc.).                              |
| `max_new_tokens`                  | integer | no       | -                       | Cap on decoded tokens per segment.                                                                   |
| `chunk_length`                    | integer | no       | -                       | Length of each audio chunk in seconds before decoding.                                               |
| `clip_timestamps`                 | string  | no       | `"0"`                   | Only decode within these (start, end) second ranges. Format: "0.5,12.3,15.0,30.0".                   |
| `hallucination_silence_threshold` | number  | no       | -                       | Treat long silent sections above this many seconds as hallucinations and skip them.                  |
| `hotwords`                        | string  | no       | -                       | Comma-separated hotwords to bias decoding toward (proper nouns, jargon).                             |
| `language_detection_threshold`    | number  | no       | `0.5`                   | Confidence threshold for auto language detection.                                                    |
| `language_detection_segments`     | integer | no       | `1`                     | Number of leading segments to use for language detection. · Range: 1 – 20                            |
| `include_tokens`                  | boolean | no       | false                   | Include raw token IDs alongside each word/segment.                                                   |
| `response_format`                 | enum    | no       | `"verbose_json"`        | json \| verbose\_json \| text \| srt \| vtt. · Allowed: `verbose_json`, `json`, `text`, `srt`, `vtt` |

## Notes

Supports URL/base64 audio, language/task, beam and temperature fallback controls, VAD/chunking, hotwords, prompts, word timestamps, punctuation controls, token debug output, and JSON/text/SRT/VTT formats.

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*Machine-readable schema:* `GET https://api.empiriolabs.ai/v1/models/whisper-large-v3-turbo`.