POST
/
api
/
ai
/
images
/
modify
/
v3
/
remove-background
curl --request POST \
  --url https://api.worqhat.com/api/ai/images/modify/v3/remove-background \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: multipart/form-data' \
  --form existing_image=person.jpg \
  --form output_type=url
{
  "image": "https://storage.googleapis.com/sample-removed-bg-image.png",
  "processing_time": 10238.123456,
  "processing_id": "b2a1d5f0-9c67-4a21-995b-5c543a98f7d3"
}

​
Remove Image Background

This API enables the removal of the background from images in a single API call, delivering a clear and focused foreground subject without the original backdrop.

The Remove Image Background API is a powerful feature within WorqHat AI’s comprehensive suite of image processing technologies, complementing our popular text-to-image and image-to-image APIs. This tool is specifically engineered to seamlessly remove backgrounds from images, isolating the foreground subject with precision. It significantly enhances the versatility of our image generation and editing APIs by offering a solution to focus solely on the subject of an image, making it indispensable for creating striking visuals without the distraction of the original background. This API maintains the original quality and detail of the subject, ensuring that the final image is both clean and visually appealing.

How does it work?

The Remove Image Background API utilizes an advanced AI model trained to accurately distinguish between foreground subjects and their backgrounds in images. The process starts with the AI analyzing the image to identify the main subject and separate it from the background. This involves recognizing the edges and textures that define the subject’s outline and differentiating it from the surrounding environment.

Our AI model is developed using a diverse dataset that includes images with a wide range of subjects, backgrounds, colors, and complexities. This ensures the model’s versatility and accuracy in background removal across various scenarios. The training process equips the AI with the ability to handle complex images where the subject and background may blend together, enabling it to perform effectively even in challenging conditions.

Leveraging state-of-the-art deep learning techniques, such as convolutional neural networks (CNNs), the AI processes the image in layers. This layered approach allows for meticulous separation of the subject from its background, ensuring a precise and clean cutout. The AI’s continuous learning from extensive datasets leads to ongoing improvements, enhancing the quality of the output with each update.

Designed for speed and efficiency, the Remove Image Background API delivers the processed image with the background removed in just seconds. This capability makes it an essential tool for professionals and enthusiasts who need to focus on the subject of an image without the distraction of the background, ensuring high-quality, visually appealing results without compromising the integrity of the foreground subject.

Use Cases

  • Content Creation: Content creators can use the Remove Image Background API to enhance images for blogs, social media posts, or digital marketing materials by focusing on the main subject without the distraction of the background.
  • E-commerce: E-commerce platforms can leverage this API to isolate product images from cluttered backgrounds, creating a more appealing and uniform look across their online catalogs, which can improve customer engagement and potentially increase sales.
  • Digital Archives: Libraries and archives can use this technology to focus on the primary subjects of historical photographs and documents by removing distracting backgrounds, making them more accessible and presentable for digital viewing.
  • Graphic Design: Graphic designers can benefit from the API by easily isolating subjects from their backgrounds for use in composite images, presentations, or any design project that requires a clean cutout of the subject.
  • Photography: Photographers can use the API to quickly remove backgrounds from portraits or any photo, allowing for easy re-composition or to create a more striking visual by placing the subject against a new backdrop.
  • Advertising and Marketing: Marketing professionals can create more impactful campaign visuals by using the API to focus on the product or message without background noise, making advertisements more effective.
  • Event Planning: For event invitations or decorations, the API can be used to create clean visuals of people, objects, or thematic elements without the original background, aligning with the event’s aesthetic.
  • Education: Educators can make educational materials more engaging by using the API to highlight specific objects or subjects without background distractions, making learning visuals clearer and more focused.
  • Video Production: In video production, the API can be used for creating clean plates for visual effects work, allowing for easier integration of subjects into new environments or backgrounds in post-production. These use cases demonstrate the versatility of the Remove Image Background API, making it a valuable tool across various industries and creative projects.

How to Use Remove Image Background API

Incorporating the Remove Image Background API into your applications is a seamless process that can be integrated into any codebase, including those operating on client-side platforms. The essential requirement is the capability to dispatch HTTP requests with the necessary headers and request body to the API endpoint. Follow these steps to get started:

  1. Prepare your API request by including the required headers and the request body, which should contain the image data from which you wish to remove the background.
  2. Send a POST request to the specified Remove Image Background API endpoint with your prepared headers and request body.
  3. Receive the processed image in response, with the background effectively removed, leaving only the desired subject.

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

multipart/form-data

Response

200
application/json

Image processed successfully

The response is of type object.