# Avatars Text to Video API

> Erstellt en Avatar-Video mat engem Presentateur aus ageschriwwenem Text, dee mat enger Stëmm aus enger Preset-Lëscht geschwat gëtt

Wielt e Preset-Avatar, schreif den `text`, deen e soll soen, a wielt eng `voice` aus den erlaabte Nimm. Keng Audiodatei ass néideg, well d’Sprooch aus dem Text synthetiséiert gëtt. Mat `remove_background` kann den Hannergrond ewechgeholl ginn. D’Äntwert enthält de Video a Moderatiounsfelder wéi e Flag-Status an eng Transkriptioun.

- Model id: `argil/avatars/text-to-video`
- Made by: Argil
- Category: Lipsync & Avatars
- Output: video
- Charged by usage (up to $1.058 per run; the rest of the hold is refunded): $0.0225 / second of generated video (cheapest run $1.058 (1058 API credits))
- Run: `POST https://api.doitong.com/v1/run/argil/avatars/text-to-video`
- Quote: `POST https://api.doitong.com/v1/quote/argil/avatars/text-to-video`
- Docs page: https://doitong.com/lb/developers/models/argil/avatars/text-to-video

## Pricing

Price: **$0.0225 / second of generated video**. Charged by actual usage at $0.0225 / second of generated video: up to $1.058 per run (the quote gives the maximum for your input), the rest is refunded automatically after the run.

The full example input below holds up to $1.058 = 1058 API credits (up to 47 s of generated video × $0.0225) when it starts.

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/argil/avatars/text-to-video` 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

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `avatar` |  | enum (string) | yes |  | `Mia outdoor (UGC)`, `Lara (Masterclass)`, `Ines (UGC)`, `Maria (Masterclass)`, `Emma (UGC)`, `Sienna (Masterclass)`, `Elena (UGC)`, `Jasmine (Masterclass)`, `Amara (Masterclass)`, `Ryan podcast (UGC)`, `Tyler (Masterclass)`, `Jayse (Masterclass)`, `Paul (Masterclass)`, `Matteo (UGC)`, `Daniel car (UGC)`, `Dario (Masterclass)`, `Viva (Masterclass)`, `Chen (Masterclass)`, `Alex (Masterclass)`, `Vanessa (UGC)`, `Laurent (UGC)`, `Noemie car (UGC)`, `Brandon (UGC)`, `Byron (Masterclass)`, `Calista (Masterclass)`, `Milo (Masterclass)`, `Fabien (Masterclass)`, `Rose (UGC)` |  |
| `text` |  | string | yes |  |  |  |
| `voice` |  | enum (string) | yes |  | `Rachel`, `Clyde`, `Roger`, `Sarah`, `Laura`, `Thomas`, `Charlie`, `George`, `Callum`, `River`, `Harry`, `Liam`, `Alice`, `Matilda`, `Will`, `Jessica`, `Lilly`, `Bill`, `Oxley`, `Luna` |  |
| `remove_background` |  | boolean | no | `false` |  |  |

## Example input

Required parameters only:

```json
{
  "avatar": "Mia outdoor (UGC)",
  "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "voice": "Rachel"
}
```

A fuller example:

```json
{
  "avatar": "Mia outdoor (UGC)",
  "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
  "voice": "Rachel"
}
```

## 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/argil/avatars/text-to-video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "avatar": "Mia outdoor (UGC)",
    "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "voice": "Rachel"
  }'

# 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/argil/avatars/text-to-video?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "avatar": "Mia outdoor (UGC)",
    "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "voice": "Rachel"
  }),
});
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 = {
    "avatar": "Mia outdoor (UGC)",
    "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "voice": "Rachel",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/argil/avatars/text-to-video", 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": "argil/avatars/text-to-video",
      "input": {
        "avatar": "Mia outdoor (UGC)",
        "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
        "voice": "Rachel"
      },
      "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": "argil/avatars/text-to-video",
  "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": 1058,
    "usd": "1.058",
    "charged": 1058,
    "refunded": 0
  },
  "input": {
    "avatar": "Mia outdoor (UGC)",
    "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
    "voice": "Rachel"
  },
  "output": {
    "video": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_name": "0-output.mp4",
      "file_size": 1843200
    },
    "moderation_flagged": false,
    "moderation_transcription": "string",
    "moderation_error": "string"
  },
  "outputs": [
    {
      "type": "video",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.mp4",
      "content_type": "video/mp4",
      "file_size": 1843200,
      "width": 1280,
      "height": 720,
      "duration": 5,
      "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 |
|---|---|---|
| `video` | object {url, content_type, file_name, file_size} \| null |  |
| `moderation_flagged` | boolean |  |
| `moderation_transcription` | string \| null |  |
| `moderation_error` | string \| null |  |

## Related models

- [Avatars Audio to Video](https://doitong.com/developers/models/argil/avatars/audio-to-video.md) (`argil/avatars/audio-to-video`): from $0.02 / second of input audio
- [Kling AI Avatar 2.0 Pro](https://doitong.com/developers/models/kling-video/ai-avatar/v2/pro.md) (`kling-video/ai-avatar/v2/pro`): $0.115 / second of input audio
- [Sync Lipsync 3](https://doitong.com/developers/models/sync-lipsync/v3.md) (`sync-lipsync/v3`): $8.00 / minute of output video
- [VEED Fabric 1.0](https://doitong.com/developers/models/veed/fabric-1.0.md) (`veed/fabric-1.0`): from $0.08 / second of input audio
- [AI Avatar Multi](https://doitong.com/developers/models/ai-avatar/multi.md) (`ai-avatar/multi`): from $0.20 / second of output video
- [AI Avatar Multi Text](https://doitong.com/developers/models/ai-avatar/multi-text.md) (`ai-avatar/multi-text`): from $0.648 / run
- [AI Avatar Single Text](https://doitong.com/developers/models/ai-avatar/single-text.md) (`ai-avatar/single-text`): from $4.688 / run
- [Avatar X](https://doitong.com/developers/models/mirage-api/avatar-x/text-to-video.md) (`mirage-api/avatar-x/text-to-video`): $54.00 / run

## Links

- HTML page: https://doitong.com/developers/models/argil/avatars/text-to-video
- 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=argil/avatars/text-to-video
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.com/v1/models/argil/avatars/text-to-video