The Stretched Image Restoration API utilizes advanced image recognition technology to automatically identify and correct overly stretched images. By analyzing the distorted content, the API restores the image to its normal proportions, ensuring a natural and accurate appearance. This service is essential for photo editing, graphic design, and any application requiring precise image adjustments. Integrate the Stretched Image Restoration API to enhance the quality and visual integrity of your images, providing a seamless solution for correcting distorted visuals.
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curl --location 'https://zylalabs.com/api/4422/stretched+image+restoration+api/5431/stretched+image+restoration' \
--header 'Content-Type: application/json' \
--form 'image=@"FILE_PATH"'
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The Stretched Image Restoration API utilizes advanced image recognition technology to automatically identify and correct overly stretched images. By analyzing the distorted content, the API restores the image to its normal proportions, ensuring a natural and accurate appearance. This service is essential for photo editing, graphic design, and any application requiring precise image adjustments. Integrate the Stretched Image Restoration API to enhance the quality and visual integrity of your images, providing a seamless solution for correcting distorted visuals.
Photo Restoration: Correcting distorted or stretched old photos to restore their original appearance. Graphic Design: Fixing images that have been improperly resized or stretched during the design process. E-commerce: Restoring product images that have been distorted due to incorrect aspect ratios, ensuring accurate product representation. Print Media: Correcting images intended for print that have been distorted, ensuring they appear as intended in printed materials. Website Design: Fixing distorted images on websites to enhance visual appeal and user experience.
Image Correction: Accurately restores stretched or distorted images to their original proportions and appearance. Versatility: Applicable to various fields, including photo restoration, graphic design, e-commerce, social media, print media, archival projects, website design, and video production. Enhanced Image Quality: Improves the visual quality of images by correcting distortions and ensuring accurate representation. Time Efficiency: Streamlines the restoration process, allowing for quick and efficient correction of distorted images. Cost-Effective: Offers a cost-effective solution for fixing image distortions without the need for expensive software or equipment.
The Stretched Image Restoration endpoint returns a JSON object containing the restored image in base64 format, a recovery ratio, and various metadata fields such as request ID, log ID, and error details.
Key fields in the response include `image` (base64 encoded restored image), `ratio` (float indicating the recovery ratio), and error-related fields like `error_code`, `error_msg`, and `error_detail` for troubleshooting.
The primary parameter is `image`, which is required and must be a file in supported formats (PNG, JPG, JPEG, BMP) under 8 MB. The image must also meet resolution and aspect ratio requirements.
The response data is structured as a JSON object with nested fields. It includes public parameters for metadata and business parameters for the restored image and recovery ratio, allowing for easy parsing and utilization.
The endpoint provides information about the restored image, the recovery ratio, and error codes or messages if the restoration fails, enabling users to understand the outcome of their requests.
Users can decode the base64 `image` field to display the restored image in applications. The `ratio` field can help assess the effectiveness of the restoration, while error fields assist in debugging issues.
Typical use cases include restoring stretched images for e-commerce product listings, enhancing visuals for graphic design projects, and correcting distorted images for print media or website content.
The API employs advanced image recognition technology to analyze and restore images, ensuring high accuracy in correcting distortions. Continuous updates and improvements to the algorithm further enhance data quality.
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