# Avatars · Text to Video API

> Makes a talking avatar video straight from typed text, using a preset avatar chosen by `avatar_id`

Takes a `text` script and a required `avatar_id` and returns a video of a presenter-style avatar delivering the script. Avatars are vertical presets with primary, secondary or walking variants, plus generic male and female choices. No audio upload is needed, which separates it from the audio-driven avatar sibling.

- Model id: `veed/avatars/text-to-video`
- Made by: VEED
- Category: Lipsync & Avatars
- Output: video
- Estimated price per run: $0.70 / run (cheapest run $0.70 (700 API credits))
- Run: `POST https://api.doitong.com/v1/run/veed/avatars/text-to-video`
- Quote: `POST https://api.doitong.com/v1/quote/veed/avatars/text-to-video`
- Docs page: https://doitong.com/developers/models/veed/avatars/text-to-video

## Pricing

Price: **$0.70 / run**. Estimated from the typical cost of one run. The quote is exactly what the run charges.

The full example input below costs $0.70 = 700 API credits (1 request × 700 API credits).

Prices are the upstream price in USD, paid from the API balance in API credits (1000 API credits = 1 USD). `POST https://api.doitong.com/v1/quote/veed/avatars/text-to-video` 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

| Parameter | Canonical name | Type | Required | Default | Allowed values / range | Description |
|---|---|---|---|---|---|---|
| `avatar_id` |  | enum (string) | yes |  | `emily_vertical_primary`, `emily_vertical_secondary`, `marcus_vertical_primary`, `marcus_vertical_secondary`, `mira_vertical_primary`, `mira_vertical_secondary`, `jasmine_vertical_primary`, `jasmine_vertical_secondary`, `jasmine_vertical_walking`, `aisha_vertical_walking`, `elena_vertical_primary`, `elena_vertical_secondary`, `any_male_vertical_primary`, `any_female_vertical_primary`, `any_male_vertical_secondary`, `any_female_vertical_secondary`, `any_female_vertical_walking`, `emily_primary`, `emily_side`, `marcus_primary`, `marcus_side`, `aisha_walking`, `elena_primary`, `elena_side`, `any_male_primary`, `any_female_primary`, `any_male_side`, `any_female_side` | Avatar selected for the video. |
| `text` |  | string | yes |  |  |  |

## Example input

Required parameters only:

```json
{
  "avatar_id": "emily_vertical_primary",
  "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

A fuller example:

```json
{
  "avatar_id": "emily_vertical_primary",
  "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
```

## 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/veed/avatars/text-to-video?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "avatar_id": "emily_vertical_primary",
    "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }'

# 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/veed/avatars/text-to-video?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "avatar_id": "emily_vertical_primary",
    "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  }),
});
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_id": "emily_vertical_primary",
    "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/veed/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": "veed/avatars/text-to-video",
      "input": {
        "avatar_id": "emily_vertical_primary",
        "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
      },
      "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": "veed/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": 700,
    "usd": "0.70",
    "charged": 700,
    "refunded": 0
  },
  "input": {
    "avatar_id": "emily_vertical_primary",
    "text": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
  },
  "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
    }
  },
  "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} |  |

## Related models

- [Avatars · Audio to Video](https://doitong.com/developers/models/veed/avatars/audio-to-video.md) (`veed/avatars/audio-to-video`): $0.30 / minute of input audio
- [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
- [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
- [Fabric 1.0](https://doitong.com/developers/models/veed/fabric-1.0/text.md) (`veed/fabric-1.0/text`): from $2.40 / run
- [Fabric 1.0 Fast](https://doitong.com/developers/models/veed/fabric-1.0/fast.md) (`veed/fabric-1.0/fast`): from $0.10 / second of input audio
- [Lipsync](https://doitong.com/developers/models/veed/lipsync.md) (`veed/lipsync`): $0.40 / minute of output video
- [VEED Lipsync](https://doitong.com/developers/models/veed/lipsync/v2.md) (`veed/lipsync/v2`): $0.07 / second of output video

## Links

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