# Image Eraser - Documentation

> For the complete documentation index, see [llms.txt](/llms.txt). Markdown is available with `Accept: text/markdown` and `.md` URL variants.

Source: /docs/api-reference/model-apis-image-eraser

# Image Eraser

POST

/

v3

/

async

/

image-eraser

Image Eraser

cURL

```
curl --request POST \
--url https://api.novita.ai/v3/async/image-eraser \
--header 'Authorization: <authorization>' \
--header 'Content-Type: <content-type>' \
--data '
{
"mask": "<string>",
"image": "<string>",
"prompt": "<string>",
"output_format": "<string>"
}
'
```

```
import requestsurl = "https://api.novita.ai/v3/async/image-eraser"payload = { "mask": "<string>", "image": "<string>", "prompt": "<string>", "output_format": "<string>"}headers = { "Content-Type": "<content-type>", "Authorization": "<authorization>"}response = requests.post(url, json=payload, headers=headers)print(response.text)
```

```
const options = { method: 'POST', headers: {'Content-Type': '<content-type>', Authorization: '<authorization>'}, body: JSON.stringify({ mask: '<string>', image: '<string>', prompt: '<string>', output_format: '<string>' })};fetch('https://api.novita.ai/v3/async/image-eraser', options) .then(res => res.json()) .then(res => console.log(res)) .catch(err => console.error(err));
```

```
<?php$curl = curl_init();curl_setopt_array($curl, [ CURLOPT_URL => "https://api.novita.ai/v3/async/image-eraser", CURLOPT_RETURNTRANSFER => true, CURLOPT_ENCODING => "", CURLOPT_MAXREDIRS => 10, CURLOPT_TIMEOUT => 30, CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1, CURLOPT_CUSTOMREQUEST => "POST", CURLOPT_POSTFIELDS => json_encode([ 'mask' => '<string>', 'image' => '<string>', 'prompt' => '<string>', 'output_format' => '<string>' ]), CURLOPT_HTTPHEADER => [ "Authorization: <authorization>", "Content-Type: <content-type>" ],]);$response = curl_exec($curl);$err = curl_error($curl);curl_close($curl);if ($err) { echo "cURL Error #:" . $err;} else { echo $response;}
```

```
package mainimport (	"fmt"	"strings"	"net/http"	"io")func main() {	url := "https://api.novita.ai/v3/async/image-eraser"	payload := strings.NewReader("{\n \"mask\": \"<string>\",\n \"image\": \"<string>\",\n \"prompt\": \"<string>\",\n \"output_format\": \"<string>\"\n}")	req, _ := http.NewRequest("POST", url, payload)	req.Header.Add("Content-Type", "<content-type>")	req.Header.Add("Authorization", "<authorization>")	res, _ := http.DefaultClient.Do(req)	defer res.Body.Close()	body, _ := io.ReadAll(res.Body)	fmt.Println(string(body))}
```

```
HttpResponse<String> response = Unirest.post("https://api.novita.ai/v3/async/image-eraser") .header("Content-Type", "<content-type>") .header("Authorization", "<authorization>") .body("{\n \"mask\": \"<string>\",\n \"image\": \"<string>\",\n \"prompt\": \"<string>\",\n \"output_format\": \"<string>\"\n}") .asString();
```

```
require 'uri'require 'net/http'url = URI("https://api.novita.ai/v3/async/image-eraser")http = Net::HTTP.new(url.host, url.port)http.use_ssl = truerequest = Net::HTTP::Post.new(url)request["Content-Type"] = '<content-type>'request["Authorization"] = '<authorization>'request.body = "{\n \"mask\": \"<string>\",\n \"image\": \"<string>\",\n \"prompt\": \"<string>\",\n \"output_format\": \"<string>\"\n}"response = http.request(request)puts response.read_body
```

200

```
{
"task_id": "<string>"
}
```

AI-powered image erasing service. Supports object removal from images via mask and text prompts. Offers high-quality image processing: out-of-the-box REST inference API, top performance, no cold start, affordable pricing.

This is an asynchronous API; only the task_id will be returned. You should use the task_id to request the [Task Result API](/docs/api-reference/model-apis-task-result) to retrieve the video generation results.

##

[​](#request-headers)

Request Headers

[​](#param-content-type)

Content-Type

string

required

Supports: `application/json`

[​](#param-authorization)

Authorization

string

required

Bearer authentication format, for example: Bearer {{API Key}}.

##

[​](#request-body)

Request Body

[​](#param-mask)

mask

string

Mask image indicating the area to be erased. Areas to erase should be white; areas to keep should be black.

[​](#param-image)

image

string

required

The original image to be processed.

[​](#param-prompt)

prompt

string

Text prompt specifying the object or region to remove from the image, e.g., ‘dog’ or ‘hat’.

[​](#param-output-format)

output_format

string

default:"jpeg"

Output image format.Optional values: `jpeg`, `png`, `webp`

##

[​](#response)

Response

[​](#param-task-id)

task_id

string

required

Use the task_id to request the [Task Result API](/docs/api-reference/model-apis-task-result) to retrieve the generated outputs.

Last modified on December 10, 2025