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SuperImage—AI-powered image upscaling on your device.
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SuperImage
Inputs:
Outputs:
AI-powered image upscaling on your device.
Most popular alternative: Image Upscaler (7,104 saves)
By unverified author Claim this AI
SuperImage is an AI-based tool meant for image upscaling. This tool is built on a neural network, utilizing the MNN deep learning framework along with the Real-ESRGAN algorithm.
It is specially designed to enhance low-resolution pictures, restoring their detail and improving their quality significantly. The software utilizes your device's GPU power to carry out the upscaling task, thus it performs all the operations locally without requiring an internet connection or uploading the images to any internet server, keeping your data secure and private.
With a prime focus on enhancing and restoring details of your images, SuperImage functions as an efficient tool for both individual and professional use.
Conveniently, it is also being developed for Linux and macOS for Apple Silicon, increasing its usability across different platforms.
Show more
Releases
Get notified when a new version of SuperImage is released
Notify me
May 15, 2023
Initial release of SuperImage.
Pricing
Pricing model
Paid
Paid options from
$3.49
Billing frequency
One-time
Prompts & Results
Add your own prompts and outputs to help others understand how to use this AI.
SuperImage was manually vetted by our editorial team and was first featured on March 15th 2024.
-
835,322635v1.6 released 15d agoFree + from $12/mo
Reducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs -
28,794395v1.0 released 11mo agoFree + from $35/mo
This team took the time to understand the industry, problem and its users and designed a perfectly engineered solution. Kudos.
Pros and Cons
Pros
Image upscaling
Restores low-resolution images
Improves image quality
Utilizes GPU power
Local operation
No internet required
Doesn't upload images online
Ensures data privacy
Useful for individual use
Useful for professional use
Compatible with Linux
Compatible with macOS for Apple Silicon
Based on MNN Framework
Employs Real-ESRGAN Algorithm
Enhances image details
Keeps data secure
Offline functionality
Available for multiple platforms
No server interaction needed
Secured image processing
Sharpen images
Enhances and restores details
View 17 more pros
Cons
Requires device's GPU power
No internet server support
Not yet available for Linux, macOS
Can't process non-picture files
Limited to upscaling function
Potential compatibility issues with MNN framework
Inefficient on low-quality GPU
No online API
Dependent on Real-ESRGAN algorithm
No batch processing feature
View 5 more cons
7 alternatives to SuperImage for Image upscaling
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Enhance images instantly with AI-powered upscaling.35,6927,1046,363Released 11mo ago100% Free -
AI-powered image enlargement without quality loss32,394117Released 8y ago#46 in Trending -
Enhance photos with advanced editing features.31,347106Released 3y agoFree + from $9/mo5 minutes to create account. 1 minute to discover poor photo enhancing. Waste of time -
Enhance images with free, open-source AI upscaling.17,989292Released 2y agoFree + from $9.99Very good job. File size concerns me, it was 10.2mb from a 1.63mb file. That was only one image, what if I had 50? -
Upscale images by 400% without quality loss17,09264Released 3y agoFree + from $19/mo -
Enhance images with AI: sharper, clearer, better.15,78485Released 7y agoFree + from $9/mo -
Enhancing and Upscaling for images and PDFs14,00381v2.0 released 11mo agoFree + from $10/mo
View 41 more alternatives
Q&A
What is SuperImage?
SuperImage is an AI-based tool specifically designed for image upscaling. It utilizes a neural network and the capabilities of the user's device GPU to enhance low-resolution images by restoring their details and significantly improving their quality, all the while maintaining data privacy by processing locally.
How does SuperImage upscale images?
SuperImage upscales images by leveraging a neural network, the MNN deep learning framework, and the Real-ESRGAN algorithm. It utilises the GPU of the user's device to execute the upscaling task, restoring details and significantly enhancing the quality of low-resolution pictures.
What algorithms does SuperImage use?
SuperImage deploys the MNN deep learning framework and the Real-ESRGAN algorithm as its core algorithms.
How is the MNN deep learning framework applied in SuperImage?
In SuperImage, the MNN deep learning framework helps build the neural network which is crucial to the upscaling process. It trains the AI to accurately restore and enhance the details of low-resolution images.
What role does the Real-ESRGAN algorithm play in SuperImage?
In SuperImage, the Real-ESRGAN algorithm is instrumental in generating high-resolution images from low-resolution inputs. It is applied to improve the quality and restore the details of the images through upscaling.
How does SuperImage ensure data privacy?
SuperImage ensures data privacy by performing all upscaling operations locally on the user's device without any need for an internet connection. It does not upload images to the internet.
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