POST
/
audio
/
translations

# Download audio file
curl -L -o "audio.flac" "https://tinyurl.com/4997djsh"

# Make request
curl -X POST "https://audio-prod.us-virginia-1.direct.fireworks.ai/v1/audio/translations" \
-H "Authorization: <FIREWORKS_API_KEY>" \
-F "file=@audio.flac"

​
Request

(multi-part form)
​
file
file | string
required

The input audio file to translate or an URL to the public audio file.

Max audio file size is 1 GB, there is no limit for audio duration. Common file formats such as mp3, flac, and wav are supported. Note that the audio will be resampled to 16kHz, downmixed to mono, and reformatted to 16-bit signed little-endian format before transcription. Pre-converting the file before sending it to the API can improve runtime performance.

​
model
string
default:"whisper-v3"

String name of the ASR model to use. Can be one of whisper-v3 or whisper-v3-turbo. Please use the following serverless endpoints:

​
vad_model
string
default:"silero"

String name of the voice activity detection (VAD) model to use. Can be one of silero, or whisperx-pyannet.

​
alignment_model
string
default:"tdnn_ffn"

String name of the alignment model to use. Currently supported:

  • mms_fa optimal accuracy for multilingual speech.
  • tdnn_ffn optimal accuracy for English-only speech.
  • gentle best accuracy for English-only speech (requires a dedicated endpoint, contact us at inquiries@fireworks.ai).
​
language
string | null

The source language for transcription. See the Supported Languages section below for a complete list of available languages.

​
prompt
string | null

The input prompt that the model will use when generating the transcription. Can be used to specify custom words or specify the style of the transcription. E.g. Um, here's, uh, what was recorded. will make the model to include the filler words into the transcription.

​
temperature
float | list[float]
default:"0"

Sampling temperature to use when decoding text tokens during transcription. Alternatively, fallback decoding can be enabled by passing a list of temperatures like 0.0,0.2,0.4,0.6,0.8,1.0. This can help to improve performance.

​
response_format
string
default:"json"

The format in which to return the response. Can be one of json, text, srt, verbose_json, or vtt.

​
timestamp_granularities
string | list[string]

The timestamp granularities to populate for this transcription. response_format must be set verbose_json to use timestamp granularities. Either or both of these options are supported. Can be one of word, segment, or word,segment. If not present, defaults to segment.

​
preprocessing
string

Audio preprocessing mode. Currently supported:

  • none to skip audio preprocessing.
  • dynamic for arbitrary audio content with variable loudness.
  • soft_dynamic for speech intense recording such as podcasts and voice-overs.
  • bass_dynamic for boosting lower frequencies;

​
Response

​
text
string
required

# Download audio file
curl -L -o "audio.flac" "https://tinyurl.com/4997djsh"

# Make request
curl -X POST "https://audio-prod.us-virginia-1.direct.fireworks.ai/v1/audio/translations" \
-H "Authorization: <FIREWORKS_API_KEY>" \
-F "file=@audio.flac"

​
Supported Languages

Translation is from one of the supported languages to English, the following languages are supported for translation: