Vehicle Background Remover API

Vehicle Background Remover API

The Vehicle Background Remover API allows users to submit an image of a vehicle in base64 format and receive the same image with the background removed. This API simplifies the process of isolating vehicles from their backgrounds, making it easier to integrate them into various applications or designs.

API description

About the API:

The Vehicle Background Remover API is a powerful tool designed to simplify the process of removing backgrounds from vehicle images. With this API, users can submit an image of a vehicle in base64 format and receive the same image with the background removed, resulting in a clean and isolated vehicle image.

Removing backgrounds from vehicle images is a common requirement in various industries, including automotive advertising, e-commerce, graphic design, and more. Traditionally, achieving this task would involve manual editing using specialized software or complex image processing techniques. However, the Vehicle Background Remover API streamlines this process by automating the background removal with just a simple API call.

To use the API, users need to submit the vehicle image in base64 format. Base64 encoding allows for the representation of image data as a string, making it easy to transmit and process the image through the API. Once the image is submitted, the API employs advanced algorithms and image processing techniques to accurately detect and remove the background, leaving only the vehicle in the final image.

The resulting image is returned in base64 format, preserving the image data while eliminating the background. This format ensures compatibility with various applications, systems, and programming languages, allowing for seamless integration into existing workflows or software.

The Vehicle Background Remover API offers several advantages. Firstly, it saves significant time and effort by automating the background removal process. This is particularly useful when dealing with a large number of vehicle images or when quick turnaround times are required.

Secondly, the API ensures accurate background removal. The advanced algorithms employed by the API are designed to detect and isolate the vehicle, even in complex or challenging image scenarios. This results in high-quality images with clean, professionally edited backgrounds.

The API's versatility is another noteworthy aspect. It can be integrated into various applications and systems, including e-commerce platforms, automotive websites, graphic design software, and more. The availability of base64 format for input and output allows for easy integration and compatibility across different platforms.

In summary, the Vehicle Background Remover API provides a convenient and efficient solution for removing backgrounds from vehicle images. By automating the background removal process and returning the edited image in base64 format, the API enables users to seamlessly integrate isolated vehicle images into their applications, enhancing visual quality and simplifying the design and editing workflow.

 

What your API receives and what your API provides (input/output)?

Pass the image file and receive the base64 image with the edited image. 

 

What are the most common uses cases of this API?

  1. Automotive Advertising: The Vehicle Background Remover API can be used by automotive advertisers to remove backgrounds from vehicle images, creating clean and professional visuals for online ads, brochures, and promotional materials. This enhances the presentation of vehicles and helps attract potential buyers.

  2. E-commerce Platforms: Online marketplaces and e-commerce platforms can utilize the API to remove backgrounds from vehicle images uploaded by sellers. By providing a consistent and visually appealing product display, the API helps improve the overall shopping experience and increases the likelihood of sales.

  3. Graphic Design and Marketing: Graphic designers and marketers can leverage the API to remove backgrounds from vehicle images for various purposes, such as creating visually compelling graphics, designing marketing materials, or incorporating vehicles into larger compositions. This allows for greater flexibility and creativity in design projects.

  4. Vehicle Inventory Management: Businesses involved in vehicle inventory management, such as car dealerships or rental companies, can use the API to remove backgrounds from vehicle images. This ensures consistent and professional presentation of their inventory on websites, mobile apps, or marketing collateral.

  5. Virtual Reality and Augmented Reality: The API can be integrated into virtual reality (VR) or augmented reality (AR) applications to remove backgrounds from vehicle images. This allows for seamless integration of virtual or augmented vehicles into real-world environments, enhancing the immersive experience for users.

  6. Print and Media Publishing: Print publications, such as magazines or newspapers, can benefit from the API by removing backgrounds from vehicle images for editorial or advertising purposes. This ensures high-quality visuals and improves the overall aesthetics of the published material.

 

Are there any limitations to your plans?

Besides the number of API calls, there are no other limitations.

API Documentation

Endpoints


Performs actual car image analysis and responds with results.

Image must be a regular JPEG or PNG image (with or without transparency). Usually such images have extensions: .jpg.jpeg.png. The service checks input file by MIME type and accepts the following types:

  • image/jpeg
  • image/png

The size of image file must be less than 16Mb.



                                                                            
POST https://zylalabs.com/api/2087/vehicle+background+remover+api/1870/remove+background
                                                                            
                                                                        

Remove Background - Endpoint Features
Object Description
Request Body [Required] File Binary
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"results":[{"status":{"code":"ok","message":"Success"},"name":"https://gopostr.s3.amazonaws.com/binary_file_test_1870/yzuZkZvWIqqY8iwo7zQS2rT2yuHtFEKGR0ZGZHKQ.jpg","md5":"9863f3716fa2ebf5ddbaf09629876683","entities":[{"kind":"image","name":"cars-fg-image","image":"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...
                                                                                                                                                                                                                    
                                                                                                    

Remove Background - CODE SNIPPETS


    curl --location 'https://zylalabs.com/api/2087/vehicle+background+remover+api/1870/remove+background' \
    --header 'Content-Type: application/json' \ 
    --form 'image=@"FILE_PATH"'


API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the Vehicle Background Remover API REST API, simply include your bearer token in the Authorization header.

Headers

Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.


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Zyla API Hub is, in other words, an API MarketPlace. An all-in-one solution for your developing needs. You will be accessing our extended list of APIs with only your user. Also, you won't need to worry about storing API keys, only one API key for all our products is needed.

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