Image Enhancement API

Image Enhancement API

The Image Enhancement API utilizes cutting-edge Super Resolution technology to enhance image quality and upscale resolution by up to 4X. With this API, developers can effortlessly improve the visual clarity and detail of images, providing a superior viewing experience for users.

API description

About the API:

The Image Enhancement API is a powerful tool designed to significantly enhance the quality of images and upscale their resolution using state-of-the-art Super Resolution technology. With this API, developers can effortlessly improve the visual clarity, detail, and overall appeal of images, providing a superior viewing experience for users.

One of the key features of the Image Enhancement API is its ability to upscale the resolution of images. By leveraging advanced Super Resolution algorithms, the API can intelligently analyze and reconstruct low-resolution images, increasing their size by up to 4X while preserving important details and sharpness. This capability is particularly useful when dealing with images that need to be displayed in larger formats or on high-resolution devices, such as digital signage displays or high-definition screens.

Additionally, the Image Enhancement API excels in enhancing the overall quality of images. It employs sophisticated image processing techniques to improve factors such as brightness, contrast, sharpness, and color accuracy. By automatically adjusting these parameters, the API can breathe new life into images, making them visually striking and more engaging to viewers.

The API's Super Resolution technology is based on state-of-the-art deep learning models trained on large-scale image datasets. These models have learned to understand and capture intricate details, enabling the API to upscale images with exceptional accuracy and realism. The end result is high-resolution images that exhibit enhanced clarity, texture, and fine details, surpassing the limitations of the original lower-resolution versions.

Integrating the Image Enhancement API into applications is a seamless process. It provides clear documentation, code examples, and supports popular image formats, such as JPEG and PNG. Developers can easily incorporate the API into their existing workflows, regardless of the programming language or platform they are using.

The use cases for the Image Enhancement API are extensive. It finds application in various domains, including photography, e-commerce, digital media, and advertising. For example, photographers can use the API to enhance the quality of their images, making them more visually appealing for clients and portfolios. E-commerce platforms can utilize the API to enhance product images, making them more attractive to potential customers. Media companies can apply the API to improve the quality of images used in their publications, resulting in a more engaging reader experience.

In conclusion, the Image Enhancement API offers developers a robust solution to enhance image quality and upscale resolution using Super Resolution technology. With its advanced algorithms and seamless integration, the API empowers applications in diverse industries to provide visually captivating and high-quality images to their users.


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

Pass any image URL that you want to upscale with this API. Declare the upscaling size and receive a download URL. 


What are the most common uses cases of this API?

  1. Photography and Image Editing: Professional photographers and image editors can utilize the Image Enhancement API to enhance the quality and resolution of their images. It allows them to upscale low-resolution images, improve clarity, and bring out finer details, resulting in visually stunning photographs for portfolios, exhibitions, or print media.

  2. E-commerce Platforms: In e-commerce, high-quality product images significantly impact customer engagement and purchasing decisions. The Image Enhancement API can be integrated into e-commerce platforms to enhance product images, making them more visually appealing, detailed, and enticing to potential customers. This can lead to increased sales and improved customer satisfaction.

  3. Digital Media and Advertising: Media companies and advertising agencies often rely on compelling visuals to attract and retain audience attention. By leveraging the Image Enhancement API, they can enhance the quality and resolution of images used in digital media campaigns, including banner ads, social media posts, and online publications. This ensures that the visuals are captivating, eye-catching, and of superior quality.

  4. Online Image Galleries and Portfolios: Websites or platforms that showcase image galleries, portfolios, or artwork can benefit from the Image Enhancement API. It allows artists, photographers, or designers to present their work in a more impactful manner by enhancing the quality, sharpness, and resolution of their images. This creates a visually pleasing and immersive experience for visitors.

  5. Video Content Creation: The Image Enhancement API can be used in video production workflows to enhance the quality and resolution of individual frames or keyframes extracted from videos. This enables the creation of visually stunning video content with enhanced details and clarity, resulting in higher production value and improved viewer engagement.

  6. Virtual Reality (VR) and Augmented Reality (AR): VR and AR applications often require high-resolution visuals to provide users with an immersive and realistic experience. By integrating the Image Enhancement API, developers can enhance the resolution and quality of images used in VR/AR environments, resulting in sharper and more visually compelling experiences for users.


Are there any limitations to your plans?

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

API Documentation


Enhance quality of image and upscale resolution by up to 4X using state-of-art Super Resolution. 



Upscale by image file - Endpoint Features
Object Description
scale_factor [Required] Resolution Upscale. 2 or 4.
Request Body [Required] File Binary
Test Endpoint


                                                                                                                                                                                                                            {"job_id":"1e06eb5d-8c09-4a35-a8b8-e81faf57a3cc","output_url":"","parameters":{"upscale":2},"properties":{"original_height":834,"original_width":1024,"upscale_height":1668,"upscale_width":2048},"url_expiry":"2023/05/29 18:02:28"}

Upscale by image file - CODE SNIPPETS

    curl --location '' \
    --header 'Content-Type: multipart/form-data' \ 
    --form 'image=@"FILE_PATH"'

Enhance quality of image and upscale resolution by up to 4X using state-of-art Super Resolution. 


Upscale by image URL - Endpoint Features
Object Description
image_url [Required] Image url to upscale.
scale_factor [Required] Resolution Upscale. 2 or 4.
Test Endpoint


                                                                                                                                                                                                                            {"Example Response":"No response example available for now."}

Upscale by image URL - CODE SNIPPETS

curl --location --request POST '' --header 'Authorization: Bearer YOUR_API_KEY' 


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 Image Enhancement API REST API, simply include your bearer token in the Authorization header.


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

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Super Resolution technology is a sophisticated image processing technique used in the Image Enhancement API. It leverages deep learning algorithms to upscale the resolution of images while preserving important details. The technology analyzes low-resolution images, learns patterns from high-resolution counterparts, and applies this knowledge to generate enhanced, higher-resolution versions.

Yes, the Image Enhancement API supports images of various sizes and formats, including popular formats like JPEG and PNG. Whether you have small thumbnails or large high-resolution images, the API can process and enhance them effectively.

The Image Enhancement API can upscale the resolution of images by up to 4X. However, it's important to note that the extent of improvement depends on factors such as the original image quality, size, and content. Extremely low-resolution or heavily distorted images may see improvements, but the results might vary.

No, the Image Enhancement API is designed to be user-friendly and accessible for developers with varying levels of image processing expertise. The API documentation provides clear instructions, code examples, and guidelines for easy integration. Developers can seamlessly incorporate the API into their applications without requiring extensive knowledge of image processing algorithms.

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