API reference · OpenAI

openai/wizper

Integrate this model through SandBase's unified API, with production-ready schemas and examples.

AUDIOAsyncOpen model

Production endpoint

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OpenAI-compatible endpoint with unified authentication and usage tracking.

POSThttps://api.sandbase.ai/v1/run

Model IDopenai/wizper

Input Schema

7 parameters · 0 required · 7 optional

Parameter	Type	Required	Description
`task`	string	Optional	Task to perform on the audio file. Either transcribe or translate. · Options: transcribe, translate · Default: "transcribe" transcribetranslate
`audio`	string	Optional	URL of the audio file to transcribe. Supported formats: mp3, mp4, mpeg, mpga, m4a, wav or webm.
`version`	string	Optional	Version of the model to use. All of the models are the Whisper large variant. · Default: "3"
`language`	string	Optional	Language of the audio file. If translate is selected as the task, the audio will be translated to English, regardless of the language selected. If `None` is passed, the language will be automatically detected. This will also increase the inference time. · Options: af, am, ar, as, az, ba, be, bg, bn, bo, br, bs, ca, cs, cy, da, de, el, en, es, et, eu, fa, fi, fo, fr, gl, gu, ha, haw, he, hi, hr, ht, hu, hy, id, is, it, ja, jw, ka, kk, km, kn, ko, la, lb, ln, lo, lt, lv, mg, mi, mk, ml, mn, mr, ms, mt, my, ne, nl, nn, no, oc, pa, pl, ps, pt, ro, ru, sa, sd, si, sk, sl, sn, so, sq, sr, su, sv, sw, ta, te, tg, th, tk, tl, tr, tt, uk, ur, uz, vi, yi, yo, zh · Default: "en" afamarasazbabebgbnbobrbscacscydadeeleneseteufafifofrglguhahawhehihrhthuhyidisitjajwkakkkmknkolalblnloltlvmgmimkmlmnmrmsmtmynenlnnnoocpaplpsptrorusasdsiskslsnsosqsrsusvswtatetgthtktltrttukuruzviyiyozh
`chunk_level`	string	Optional	Level of the chunks to return. · Default: "segment"
`merge_chunks`	boolean	Optional	Whether to merge consecutive chunks. When enabled, chunks are merged if their combined duration does not exceed max_segment_len. · Default: true
`max_segment_len`	integer	Optional	Maximum speech segment duration in seconds before splitting. · Min: 10 · Max: 29 · Default: 29

Output Schema

Field	Type	Description
`id`	string	Unique identifier for the generation task
`status`	string	Task status: pending, running, completed, failed, timeout
`model`	string	Model used for the generation
`outputs`	array	Array of output items
`outputs[].url`	string	URL of the generated artifact
`outputs[].content_type`	string	MIME type (e.g. image/png, video/mp4)
`error`	object \| null	Error details if failed, null on success
`error.type`	string	Machine-readable error type code
`error.message`	string	Human-readable error description

Async Workflow

This model uses asynchronous execution. Submit a request and poll for the result.

Submit — POST to /v1/run, receive an id
Poll — GET /v1/run/{id} until status is completed, failed, or timeout
Retrieve — Read outputs from the completed response

Code Examples

Ready-to-run snippets

const apiKey = process.env.SANDBASE_API_KEY;
const response = await fetch("https://api.sandbase.ai/v1/run", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    "model": "openai/wizper",
    "task": "transcribe",
    "audio": "https://static.sandbase.ai/examples/elevenlabs/scribe-v2/input_audio_0.mp3",
    "version": "3",
    "language": "en",
    "chunk_level": "segment",
    "merge_chunks": true,
    "max_segment_len": 29
  }),
});

if (!response.ok) throw new Error(await response.text());
let result = await response.json();
for (let attempt = 0; attempt < 120 && !["completed", "failed", "timeout"].includes(result.status); attempt++) {
  await new Promise((resolve) => setTimeout(resolve, 2_000));
  const poll = await fetch(`https://api.sandbase.ai/v1/run/${result.id}`, {
    headers: { Authorization: `Bearer ${apiKey}` },
  });
  if (!poll.ok) throw new Error(await poll.text());
  result = await poll.json();
}
if (result.status !== "completed") throw new Error(`Generation ended: ${result.status}`);
console.log(result);

← Back to Wizper (Whisper v3)