# Kotoba Speech-to-Text API

> 최대 2분 클립을 위한 음성-투-텍스트로, 일본어에 최적화되고 단어 타임스탬프와 키워드 힌트를 지원

`audio_url`에서 최대 2분의 오디오 클립을 전사합니다. `language`는 ja, en, ko, zh, es, zh-hk, zh-tw 또는 auto로 설정합니다. 선택적 `with_timestamps`는 단어별 시작 및 종료 시간을 반환하고, `diarization`은 화자를 표시하며, `keywords`는 철자 편향을 위해 최대 1000개 용어를 받습니다. `kana`는 일본어 이름을 가타카나로 표기합니다. 출력에는 텍스트, 감지된 언어 및 오디오 길이가 포함됩니다.

- Model id: `kotoba-technologies/kotoba-stt/v1/speech-to-text`
- Made by: Kotoba Technologies
- Category: Speech to Text
- Output: text
- Price per second of your input audio: $0.0000694 / second of input audio (cheapest run $0.001 (1 API credit))
- Run: `POST https://api.doitong.ru/v1/run/kotoba-technologies/kotoba-stt/v1/speech-to-text`
- Quote: `POST https://api.doitong.ru/v1/quote/kotoba-technologies/kotoba-stt/v1/speech-to-text`
- Docs page: https://doitong.com/ko/developers/models/kotoba-technologies/kotoba-stt/v1/speech-to-text

## Pricing

Price: **$0.0000694 / second of input audio**. Price per second of your input audio: the input files are measured before the run (length, resolution, frame rate). The quote measures the same files and is exactly what the run charges.

The full example input below costs $0.001 = 1 API credit (10 s input audio × $0.000069).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.ru/v1/quote/kotoba-technologies/kotoba-stt/v1/speech-to-text` with the same JSON body returns the exact price for that input; the quote is exactly what a run charges. 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 |  |  | 2분으로 제한된 오디오 길이입니다. |
| `language` |  | enum (string) | yes |  | `ja`, `en`, `ko`, `zh`, `es`, `zh-hk`, `zh-tw`, `auto` | 오디오 화자들이 사용하는 언어입니다. |
| `with_timestamps` |  | boolean | no | `false` |  | `words`의 단어별 타이밍 출력으로, 각 단어의 시작과 끝을 포함합니다. |
| `diarization` |  | boolean | no | `false` |  | 단어 수준의 화자 귀속입니다. 화자 토큰을 지원하는 모델에서만 사용할 수 있습니다. 각 단어에 `speaker_id`가 지정되지만 `with_timestamps`도 활성화하지 않으면 시간은 null로 유지됩니다. |
| `keywords` |  | array of string \| null | no |  | ≤ 1000 items | 전사에서 우선할 표기이며 이름이나 제품 용어를 포함합니다. 최대 1000개 용어를 허용하고 각 용어는 64자로 제한됩니다. |
| `kana` |  | boolean | no | `false` |  | 일본어 인명과 지명의 가타카나 표기입니다. |

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",
  "language": "ja"
}
```

A fuller example:

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

## 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.ru/v1/run/kotoba-technologies/kotoba-stt/v1/speech-to-text?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",
    "language": "ja"
  }'

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

### JavaScript

```javascript
const API = "https://api.doitong.ru/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/kotoba-technologies/kotoba-stt/v1/speech-to-text?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "audio_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
    "language": "ja"
  }),
});
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.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}

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

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/kotoba-technologies/kotoba-stt/v1/speech-to-text", 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.ru/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": "kotoba-technologies/kotoba-stt/v1/speech-to-text",
      "input": {
        "audio_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
        "language": "ja"
      },
      "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": "kotoba-technologies/kotoba-stt/v1/speech-to-text",
  "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": 1,
    "usd": "0.001",
    "charged": 1,
    "refunded": 0
  },
  "input": {
    "audio_url": "https://content.doitong.com/audio/showcase/v3/tools/dub_es.mp3",
    "language": "ja"
  },
  "output": {
    "audio_duration_secs": 1.0,
    "language_code": "string",
    "language_probability": 1.0,
    "text": "string",
    "words": [
      {
        "end": 1.0,
        "speaker_id": "string",
        "start": 1.0,
        "text": "string",
        "type": "word"
      }
    ]
  },
  "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.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
    "cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
  }
}
```

### Output fields (`output`)

| Field | Type | Description |
|---|---|---|
| `audio_duration_secs` | number \| null |  |
| `language_code` | string |  |
| `language_probability` | number |  |
| `text` | string |  |
| `words` | array of object {end, speaker_id, start, text, type} |  |

## 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
- [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
- [Silero VAD](https://doitong.com/developers/models/silero-vad.md) (`silero-vad`): $0.00001 / second of input audio

## Links

- HTML page: https://doitong.com/developers/models/kotoba-technologies/kotoba-stt/v1/speech-to-text
- 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=kotoba-technologies/kotoba-stt/v1/speech-to-text
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/kotoba-technologies/kotoba-stt/v1/speech-to-text