# Wizper (Whisper v3) API

> Tale-til-tekst med Whisper v3 og oversettelse til engelsk med tidsmerkede segmenter

Transkriberer en lydfil fra en URL (mp3, mp4, mpeg, mpga, m4a, wav eller webm), eller oversetter den til engelsk med `task`. Feltet `language` støtter 99 verdier, og automatisk deteksjon er mulig. Returnerer full tekst samt tidsmerkede segmenter. `max_segment_len` (10-29 sekunder) og `merge_chunks` styrer hvordan segmenter deles opp.

- Model id: `wizper`
- Made by: OpenAI
- Category: Speech to Text
- Output: text
- Charged by usage (up to $1.998 per run, typical $0.009; the rest of the hold is refunded): $0.00111 / second of processing time (cheapest run $0.009 (9 API credits))
- Run: `POST https://api.doitong.com/v1/run/wizper`
- Quote: `POST https://api.doitong.com/v1/quote/wizper`
- Docs page: https://doitong.com/no/developers/models/wizper

## Pricing

Price: **$0.00111 / second of processing time**. Charged by actual usage at $0.00111 / second of processing time: up to $1.998 per run (the quote gives the maximum for your input), the rest is refunded automatically after the run. A typical run costs $0.009.

The full example input below holds up to $1.998 = 1998 API credits (up to 1800 s of processing time × $0.00111) when it starts; a typical run costs $0.009 (9 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). This model is charged by usage: `POST https://api.doitong.com/v1/quote/wizper` with the same JSON body returns the most the run can cost for that input (`credits`, debited when the run starts); after the run you pay the usage the model reports and the rest is refunded automatically. An input whose maximum would exceed the per-run limit is refused with 422. Invalid input is never charged and failed or canceled requests are refunded automatically.

## Input parameters

Send either the canonical name or the native field name (not both). Canonical names are the same across models.

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `audio_url` | `audio` | string (audio URL) | yes |  |  | Inndata for transkripsjon, oppgitt som en URL til en lydfil i formatet mp3, mp4, mpeg, mpga, m4a, wav eller webm. |
| `task` |  | enum (string) | no | `transcribe` | `transcribe`, `translate` | Lydbehandlingsoppgave: velg transcribe eller translate. |
| `language` |  | enum (string) \| null | no | `en` | `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` | Valg av lydspråk, der `None` ber om automatisk gjenkjenning på bekostning av lengre inferenstid. For oppgaven translate er engelsk alltid målspråket, så dette språkvalget endrer ikke utdataenes språk. |
| `chunk_level` |  | string | no | `segment` |  | Detaljnivå for de returnerte delene. |
| `max_segment_len` |  | integer | no | `29` | 10 – 29 | Grense for lengden på talesegmenter, målt i sekund, etter hvilken splitting utføres. |
| `merge_chunks` |  | boolean | no | `true` |  | Kontroll for sammenslåing av etterfølgende deler, som bare tillater sammenslåing hvis den resulterende segmentvarigheten ikke er større enn max_segment_len. |
| `version` |  | string | no | `3` |  | Versjonsvalg innen Whisper large-familien; ingen annen Whisper-variant brukes av disse modellene. |

File parameters (`audio`) take a public `https://` URL, a `data:` URI up to 10 MB, or the `file_url` of an upload from `POST /files`.

## Example input

Required parameters only:

```json
{
  "audio": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}
```

A fuller example:

```json
{
  "audio_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
}
```

## Run it

Set `DOITONG_API_KEY` to a key from https://doitong.com/developers/dashboard#keys. `?wait=20` returns the finished request in the same call when it is ready within 20 seconds; otherwise poll `GET /requests/{id}` (it also accepts `?wait=`), or pass `webhook_url`.

### curl

```bash
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/wizper?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "audio_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
  }'

# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY"
```

### JavaScript

```javascript
const API = "https://api.doitong.com/v1";
const headers = {
  "Authorization": "Bearer " + process.env.DOITONG_API_KEY,
  "Content-Type": "application/json",
};

// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/wizper?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "audio_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
  }),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);

// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
  res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
  request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
```

### Python

```python
import os
import requests

API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

payload = {
    "audio_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/wizper", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
    raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])

# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
    request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
    raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
```

### MCP

The MCP server at `https://api.doitong.com/v1/mcp` exposes the tools `search_models`, `get_model`, `quote`, `run`, `get_request`, `cancel_request`, `list_requests`, `create_upload` and `get_account`. A `run` call for this model:

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "run",
    "arguments": {
      "model_id": "wizper",
      "input": {
        "audio_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
      },
      "wait_seconds": 20
    }
  }
}
```

## Response

Every call returns a request object. `status` is one of `queued`, `running`, `succeeded`, `failed`, `canceled`. `outputs` lists the generated files with URLs on our storage (kept forever, or 7 days with `?storage=temporary`; `storage` says which); `output` is the model's own result object with the same URLs.

```json
{
  "id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
  "object": "request",
  "model": "wizper",
  "status": "succeeded",
  "created_at": "2026-10-20T12:00:00Z",
  "started_at": "2026-10-20T12:00:02Z",
  "completed_at": "2026-10-20T12:00:09Z",
  "queue_position": null,
  "cost": {
    "credits": 1998,
    "usd": "1.998",
    "charged": 1998,
    "refunded": 0
  },
  "input": {
    "audio_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3"
  },
  "output": {
    "text": "string",
    "chunks": [
      {
        "timestamp": [],
        "text": "string"
      }
    ],
    "languages": [
      "af"
    ]
  },
  "outputs": [
    {
      "type": "file",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "stored": true
    }
  ],
  "error": null,
  "metrics": {
    "inference_seconds": 6.8
  },
  "urls": {
    "self": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `text` | string | Tekst transkribert fra lyden. |
| `chunks` | array of object {timestamp, text} | Lyddeler med tidsstempler. |
| `languages` | array of enum (string) | Resultater fra lydspråkgjenkjenning, returnert som en liste over utledede språk, med null som standardverdi. |

## Related models

- [Cohere Transcribe](https://doitong.com/developers/models/cohere-transcribe.md) (`cohere-transcribe`): $0.0000694 / second of input audio
- [Elevenlabs - Forced Alignment](https://doitong.com/developers/models/elevenlabs/forced-alignment.md) (`elevenlabs/forced-alignment`): $0.22 / hour of input audio
- [ElevenLabs Speech to Text](https://doitong.com/developers/models/elevenlabs/speech-to-text.md) (`elevenlabs/speech-to-text`): $0.03 / minute of input audio
- [ElevenLabs Speech to Text - Scribe V2](https://doitong.com/developers/models/elevenlabs/speech-to-text/scribe-v2.md) (`elevenlabs/speech-to-text/scribe-v2`): $0.008 / minute of input audio
- [Kotoba Speech-to-Text](https://doitong.com/developers/models/kotoba-technologies/kotoba-stt/v1/speech-to-text.md) (`kotoba-technologies/kotoba-stt/v1/speech-to-text`): $0.0000694 / second of input audio
- [Nemotron 3 Nano Omni · Audio](https://doitong.com/developers/models/nvidia/nemotron-3-nano-omni/audio.md) (`nvidia/nemotron-3-nano-omni/audio`): $0.01 / 1000 tokens
- [Nemotron Asr Multilingual](https://doitong.com/developers/models/nvidia/nemotron-asr-multilingual/asr.md) (`nvidia/nemotron-asr-multilingual/asr`): $0.008 / minute of input audio
- [Pipecat's Smart Turn model](https://doitong.com/developers/models/smart-turn.md) (`smart-turn`): $0.00111 / second of processing time

## Links

- HTML page: https://doitong.com/developers/models/wizper
- All models and guides for AI agents: https://doitong.com/developers/llms.txt
- OpenAPI 3.1 with this model's typed request body: https://doitong.com/developers/openapi.json?model=wizper
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/wizper