# Wizper (Whisper v3) API

> Whisper v3 beszédfelismerés és angolra fordítás időbélyeggel ellátott szegmensekkel

URL-címről átiratot készít egy hangfájlból (mp3, mp4, mpeg, mpga, m4a, wav vagy webm), vagy a `task` használatával angolra fordítja. A `language` mező 99 értéket támogat, és az automatikus felismerés is lehetséges. A teljes szöveget és időbélyeggel ellátott szegmenseket ad vissza. A `max_segment_len` (10–29 másodperc) és a `merge_chunks` szabályozza a szegmensek felosztását.

- 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/hu/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 |  |  | URL-ként megadott átírási bemenet, amely mp3, mp4, mpeg, mpga, m4a, wav vagy webm formátumú hangfájlra mutat. |
| `task` |  | enum (string) | no | `transcribe` | `transcribe`, `translate` | Hangfeldolgozási feladat: válaszd a transcribe vagy translate lehetőséget. |
| `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` | A hang nyelvének kiválasztása; a `None` automatikus felismerést kér, hosszabb következtetési idő árán. A translate feladatnál a fordítás célja mindig az angol, ezért ez a nyelvválasztás nem módosítja a kimenet nyelvét. |
| `chunk_level` |  | string | no | `segment` |  | A visszaadott részek részletességi szintje. |
| `max_segment_len` |  | integer | no | `29` | 10 – 29 | A beszédszakasz maximális hossza másodpercben, amely után felosztás történik. |
| `merge_chunks` |  | boolean | no | `true` |  | Az egymást követő részek összevonásának vezérlése; összevonás csak akkor engedélyezett, ha az eredményül kapott szakasz időtartama legfeljebb max_segment_len. |
| `version` |  | string | no | `3` |  | Verzióválasztás a Whisper large családon belül; ezek a modellek nem használnak más Whisper-változatot. |

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 | A hangból átírt szöveg. |
| `chunks` | array of object {timestamp, text} | Időbélyegekkel kiegészített hangrészek. |
| `languages` | array of enum (string) | A hang nyelvfelismerési eredményei, a felismert nyelvek listájaként visszaadva; az alapértelmezett érték null. |

## 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