Inpainting

Inpainting API

To remove unwanted objects or defects from your pictures, you can use the API available at https://clipdrop-api.co/cleanup/v1.

The request must be an http POST and its body must be a multipart/form-data that has two images files:

image_file is the original image to process.
- The original image should be a JPG or a PNG, with a maximum resolution of 16 megapixels and a max file size of 30 Mb.
mask_file is the mask image, defining the areas that need to be removed.
- The mask image should be a PNG, and should have the same resolution as the original image and a max file size of 30 Mb.
- The mask should be black and white with no grey pixels (e.g. values of only 0 or 255), the value of 0 indicating a pixel to keep as is and 255 a pixel to 'clean up'

In case of success:

the response mime-type is image/png and the response image is a PNG image with the same dimensions as the image_file.
the response headers will include a x-remaining-credits property to tell you how many credits you have left.

In case of an error:

the response mime-type is application/json, error type is indicated by the response status code and details are in the json body, ie

{ "error": "No api key provided" }

Authentication

Requests are authenticated with an API key. If you need one, please contact us at contact@clipdrop.co.

If your key has leaked, you can revoke it and request a new one in your account page.

Credits

1 successful inpainting API call = 1 credit.

Once logged in, you can claim 100 free Clipdrop APIs credits that you can use for development and debugging purposes. Once the 100 images have been consumed, further calls will be rejected.

If you need more credits, you can purchase more credits via the following link.

Quota / Rate limiting

By default, each API key has a limit of 60 requests per minute for the inpainting API. Please let us know if you'd like higher values.

Examples

CURL
JavaScript
Python
Swift
Kotlin

curl -X POST https://clipdrop-api.co/cleanup/v1 \
     -H 'x-api-key: YOUR_API_KEY' \
     -F 'image_file=@image.jpg' \
     -F 'mask_file=@mask.png' \
     -o result.png

const form = new FormData()
form.append('image_file', photo)
form.append('mask_file', mask)

fetch('https://clipdrop-api.co/cleanup/v1', {
  method: 'POST',
  headers: {
    'x-api-key': YOUR_API_KEY,
  },
  body: form,
})
  .then(response => response.arrayBuffer())
  .then(buffer => {
    // buffer here is a binary representation of the returned image
  })

import requests

r = requests.post('https://clipdrop-api.co/cleanup/v1',
  files = {
    'image_file': ('image.jpg', image_file_object, 'image/jpeg'),
    'mask_file': ('mask.png', mask_file_object, 'image/png')
    },
  headers = { 'x-api-key': 'YOUR_API_KEY'}
)
if (r.ok):
  # r.content contains the bytes of the returned image
else:
  r.raise_for_status()

import Alamofire;

let imageData = try Data(contentsOf: inputPath)

let headers: HTTPHeaders = [
    "x-api-key": "YOUR_API_KEY"
]

AF.upload(
    multipartFormData: { multipartFormData in
      multipartFormData.append(
        imageData,
        withName: "image_file",
        fileName: "image.jpg",
        mimeType: "image/jpeg"
      )
      multipartFormData.append(
        maskData,
        withName: "mask_file",
        fileName: "mask.png",
        mimeType: "image/png"
      )
    },
    to: "https://clipdrop-api.co/cleanup/v1",
    headers: headers
  )
  .responseData(queue: .global()) { response in
    switch response.result {
        case .success: do {
          // response.data here is an in memory byte buffer of the returned image
        }
        case let .failure(error): print(error)
    }

// this example uses the OkHttp library
// https://square.github.io/okhttp/
val client = OkHttpClient()

val requestBody =
    MultipartBody.Builder()
        .setType(MultipartBody.FORM)
        .addFormDataPart(
            "image_file",
            "image.jpg",
            File("docs/images/image.jpg").asRequestBody("image/jpeg".toMediaType())
        )
        .addFormDataPart(
            "mask_file",
            "mask.png",
            File("docs/images/mask.png").asRequestBody("image/png".toMediaType())
        )
        .build()

val request =
    Request.Builder()
        .header("x-api-key", "YOUR_API_KEY")
        .url("https://clipdrop-api.co/cleanup/v1")
        .post(requestBody)
        .build()

client.newCall(request).execute().use { response ->
    if (!response.isSuccessful) throw IOException("Unexpected code $response")
    // response.body().bytes() here is a byte array of the returned image
}

Responses

The result image, e.g.

  Request is malformed or incomplete, non exhaustive causes can be:
    - Missing image_file in request
    - Input image format is not valid
    - Image resolution is too big

Missing api key.

Your account has no remaining credits, you can buy more in your account page.

Invalid or revocated api key.

Too many requests, blocked by the rate limiter.
You should space out your requests in time or contact us to increase your quota.

This may be a bug on our side.
Please contact us at contact@clipdrop.co so that we can investigate.

Tips and Tricks

The algorithm performs better if your mask is a bit larger than the object you want to remove. If your mask generation is automatic, expand the detected object mask a bit (15% has proven quite successful) to achieve the best results.