# Ideogram · v3 · Layerize Text API

> Splits a flat graphic into a text-free background plus editable text containers and HTML

Takes a flat graphic (`image_url`, JPEG, PNG or WebP, up to 10MB) and returns the background with text removed, extracted image layers, structured text containers and overlay HTML for recompositing. Fonts can be set for h1, h2, body and small text by name or by file URL. An optional `prompt` and `seed` are accepted.

- Model id: `ideogram/v3/layerize-text`
- Made by: Ideogram
- Category: Image Editing
- Output: image
- Price: $0.09 / image (cheapest run $0.09 (90 API credits))
- Run: `POST https://api.doitong.ru/v1/run/ideogram/v3/layerize-text`
- Quote: `POST https://api.doitong.ru/v1/quote/ideogram/v3/layerize-text`
- Docs page: https://doitong.com/en-US/developers/models/ideogram/v3/layerize-text

## Pricing

Price: **$0.09 / image**. Billed per generated image.

The full example input below costs $0.09 = 90 API credits (1 image × 90 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.ru/v1/quote/ideogram/v3/layerize-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 |
|---|---|---|---|---|---|---|
| `image_url` | `image` | string (image URL) | yes |  |  | Flat graphic image URL for conversion into layers. Accepted formats are JPEG, PNG, and WebP; maximum file size is 10 MB. |
| `prompt` |  | string \| null | no |  |  | Optional prompt that guides conversion into layers. |
| `seed` |  | integer \| null | no |  |  | Seed used by the random-number generator. |
| `font_file_h1_url` |  | string \| null | no |  |  | Font file URL for h1 text; mutually exclusive with font_name_h1. |
| `font_name_h1` |  | string \| null | no |  |  | Font name for h1 text; mutually exclusive with font_file_h1_url. |
| `font_file_h2_url` |  | string \| null | no |  |  | Font file URL for h2 text; mutually exclusive with font_name_h2. |
| `font_name_h2` |  | string \| null | no |  |  | Font name for h2 text; mutually exclusive with font_file_h2_url. |
| `font_file_body_url` |  | string \| null | no |  |  | Font file URL for body text; mutually exclusive with font_name_body. |
| `font_name_body` |  | string \| null | no |  |  | Font name for body text; mutually exclusive with font_file_body_url. |
| `font_file_small_url` |  | string \| null | no |  |  | Font file URL for small text; mutually exclusive with font_name_small. |
| `font_name_small` |  | string \| null | no |  |  | Font name for small text; mutually exclusive with font_file_small_url. |

File parameters (`image`) 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
{
  "image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

A fuller example:

```json
{
  "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
```

## 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/ideogram/v3/layerize-text?wait=20" \
  -H "Authorization: Bearer $DOITONG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }'

# 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/ideogram/v3/layerize-text?wait=20", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  }),
});
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 = {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}

# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/ideogram/v3/layerize-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": "ideogram/v3/layerize-text",
      "input": {
        "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
      },
      "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": "ideogram/v3/layerize-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": 90,
    "usd": "0.09",
    "charged": 90,
    "refunded": 0
  },
  "input": {
    "image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
  },
  "output": {
    "image": {
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_name": "0-output.jpeg",
      "file_size": 1843200
    },
    "prompt": "string",
    "text_containers": [
      {}
    ],
    "text_html": "string",
    "image_layers": [
      {}
    ],
    "seed": 42
  },
  "outputs": [
    {
      "type": "image",
      "url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
      "content_type": "image/jpeg",
      "file_size": 1843200,
      "width": 1024,
      "height": 768,
      "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 |
|---|---|---|
| `image` | object {url, content_type, file_name, file_size} | Background image after removal of its text. |
| `prompt` | string | Contains the layerization prompt after any MagicPrompt expansion, so it may not match the original input. |
| `text_containers` | array of object \| null | Text containers organized as a hierarchy of containers, items, and spans. |
| `text_html` | string \| null | Rendered HTML overlay used to composite text onto the background image. |
| `image_layers` | array of object | Image layers separated out of the design. |
| `seed` | integer | Seed value used for random number generation. |

## Related models

- [Ideogram Text to Image](https://doitong.com/developers/models/ideogram/v3.md) (`ideogram/v3`): from $0.03 / image
- [Ideogram Transparent](https://doitong.com/developers/models/ideogram/v3/generate-transparent.md) (`ideogram/v3/generate-transparent`): from $0.03 / image
- [Ideogram Object Removal](https://doitong.com/developers/models/ideogram/object-removal.md) (`ideogram/object-removal`): $0.03 / image
- [Ideogram Replace Background](https://doitong.com/developers/models/ideogram/v3/replace-background.md) (`ideogram/v3/replace-background`): from $0.03 / image
- [Ideogram V3 Edit](https://doitong.com/developers/models/ideogram/v3/edit.md) (`ideogram/v3/edit`): from $0.03 / image
- [Ideogram · v3 · Reframe](https://doitong.com/developers/models/ideogram/v3/reframe.md) (`ideogram/v3/reframe`): from $0.03 / image
- [Ideogram · v3 · Remix](https://doitong.com/developers/models/ideogram/v3/remix.md) (`ideogram/v3/remix`): from $0.03 / image
- [Ideogram Remove Background](https://doitong.com/developers/models/ideogram/remove-background.md) (`ideogram/remove-background`): $0.01 / image

## Links

- HTML page: https://doitong.com/developers/models/ideogram/v3/layerize-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=ideogram/v3/layerize-text
- Errors: https://doitong.com/developers/docs/errors
- Model details as JSON: https://api.doitong.ru/v1/models/ideogram/v3/layerize-text