The Image Trimming Enhancement API is a cutting-edge image processing tool that allows developers to intelligently trim the edges of the main document in a photo while enhancing the image to highlight the text. This powerful API is perfect for businesses and developers looking to improve the quality and usability of their digital images, making them more visually appealing and easier to read.
The Image Trimming Enhancement API uses advanced algorithms to accurately determine the edges of the main document in a photo, automatically removing any unnecessary background and leaving only the essential content. This results in a cleaner, more professional-looking image that is easier to read and understand. The API also enhances the image to highlight the text, making it stand out and improving its readability.
One of the key benefits of the Image Trimming Enhancement API is its accuracy. The tool is trained on a large dataset of images, allowing it to accurately detect the edges of the main document in photos, even in complex images with varying backgrounds and lighting conditions. This can help businesses and developers to produce high-quality digital images that are easier to use and more appealing to their users.
Another benefit of the API is its speed. The tool is designed to process images quickly and efficiently, making it possible to enhance large numbers of images in a short amount of time. This can be especially useful for businesses that need to process large volumes of images, such as those in the e-commerce or publishing industries.
Overall, the Image Trimming Enhancement API is an excellent choice for businesses and developers looking to enhance the quality and usability of their digital images. With its advanced algorithms, accurate edge detection, and text highlighting functionality, this API can help businesses and developers to create high-quality images that are visually appealing and easy to read. This technology has applications in industries such as e-commerce, publishing, and advertising.
Pass any image from where you want to enhance its definition. Receive a new image in base 64.
E-commerce product images: The Image Trimming Enhancement API can be used to remove the background from product images on e-commerce platforms, making them more visually appealing and easier to read.
Scanned documents: The API can be used to enhance the quality of scanned documents, making them easier to read and understand.
Marketing materials: Businesses can use the API to create high-quality marketing materials, such as brochures and flyers, with clean and visually appealing images.
The book covers: The Image Trimming Enhancement API can be used to create professional-looking book covers by removing unnecessary background and enhancing the text.
Digital archives: The API can be used to enhance and clean up digital archives, such as historical documents and photographs, making them easier to read and understand.
Are there any limitations to your plans?
Besides the number of API calls, there are no other limitations.
To use this endpoint you must indicate the URL of an image along with a width and height.
Image Enhancement - Endpoint Features
Object | Description |
---|---|
Request Body |
[Required] Json |
{
"imageUrl": "https://cdn.pixabay.com/photo/2024/01/24/15/10/ai-generated-8529788_1280.jpg",
"width": 1000,
"height": 1000
}
curl --location --request POST 'https://zylalabs.com/api/1971/image+trimming+enhancement+api/4674/image+enhancement' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{
"imageUrl": "https://cdn.pixabay.com/photo/2024/01/24/15/10/ai-generated-8529788_1280.jpg",
"width": 1000,
"height": 1000
}'
Header | Description |
---|---|
Authorization
|
[Required] Should be Bearer access_key . See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
Each endpoint returns an enhanced image in Base64 format. This allows for easy integration and display in web applications without needing to save the image separately.
The key fields in the response data include "imageUrl," which provides the URL of the enhanced image, and dimensions like "width" and "height," indicating the size of the processed image.
The endpoint accepts parameters such as the image URL, width, and height for customization. Users can specify these to tailor the output to their needs.
The response data is structured in JSON format, with clear key-value pairs. This organization allows developers to easily parse and utilize the data in their applications.
Typical use cases include enhancing e-commerce product images, improving scanned documents, creating marketing materials, and refining book covers for better visual appeal.
Data accuracy is maintained through advanced algorithms trained on a large dataset of images, ensuring precise edge detection and background removal even in complex scenarios.
Each endpoint provides information about the enhanced image, including its URL and dimensions, allowing users to assess the quality and suitability for their applications.
Users can utilize the returned data by embedding the Base64 image directly into web pages or applications, ensuring quick loading and seamless integration without additional file handling.
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