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Pinin is a state-of-the-art image restoration tool that leverages the latest AI models and technologies to bring photos back to life.
It can colorize, deblur, remove dust & scratches, upscale and much more.
The examples page contains multiple real examples of photos that were restored using Pinin.ai. It showcases the use cases of the tool, that go from restoring damaged photos taken in the 60โs, to de-blurring modern photos, improving the look and resolution of small photos, colorizing, restoring the original colors after fading & much more.
The accuracy of Pinin surpasses industry leaders like ChatGPT, and even models that were specifically trained on restoring photos such as Codeformer, ddcolor or GFPGAN.
While other models either do not restore the damage and/or create unwanted artifacts, AI faces and other issues that arise with the use of AI for standard photo generation, Pinin focuses on maintaining the original details and face features.
Most AI models were trained on pristine images, so when they see damage, they hallucinate details instead of intelligently reconstructing them.
With the right prompting, ChatGPT can do wonders. But itโs not ready for image restoration. It was not trained for image restoration. The models used by Pinin were trained on hundreds of photos from all around the world. This allows Pinin to carefully and faithfully restore lost details, faces, words, and even animals.
๐ See what Pinin can do (and how it compares to other tools)
The first photo restoration is completely free. No questions asked. No credit card required. Just head to https://pinin.ai/photo-restoration, login and restore your first photo.
Codealike Pinin.aiNo features have been listed yet.
Pinin.ai's answer:
The purpose of Pinin is not to replace old family photos with AI-generated pictures. Pinin brings photos back to life. With all their quirks and all their history - with a better quality, clarity and resolution.
Pinin.ai's answer:
Baby boomers, but also anyone with an old family album.
Pinin.ai's answer:
The accuracy of Pinin surpasses industry leaders like ChatGPT, and even models that were specifically trained on restoring photos such as Codeformer, ddcolor or GFPGAN.
While other models either do not restore the damage and/or create unwanted artifacts, AI faces and other issues that arise with the use of AI for standard photo generation, Pinin focuses on maintaining the original details and face features.
Most AI models were trained on pristine images, so when they see damage, they hallucinate details instead of intelligently reconstructing them.
Pinin.ai's answer:
I was born in ๐ฎ๐น Bari, Italy, and growing up I was lucky enough to experience the "good side" of the modern world, such as photography.
It wasn't the same for my family. For them, professional photography was often a luxury they couldn't afford. As a result, they were left with hundreds of damaged photos, blurred childhood pictures, wedding pictures that were taken by family members instead of professional photographers - and photo albums full of photos you could barely see.
Decades of memories were barely visible - wedding photos where you couldn't see faces, childhood pictures that looked like watercolor smudges, family gatherings reduced to blurry shadows. However, some of the photos were REALLY good. And all of them were worth saving.
So I decided to do something about it. After spending months with datasets, training, AI models and development - Pinin.ai was born.
Once the tool was ready, showing it to my family was the biggest satisfaction. We literally took a picture of an old family photo with a phone. Within 20 seconds, it was as if the photo was taken yesterday.
Then I let my grandma try it.
When I showed my grandmother the restored photos, she went silent. Then she started crying. She pointed at her mother in a 50's family portrait and said, "She's beautiful. I forgot she was so beautiful."
This was the moment that made it all worth it. Building something that makes people happy.
This technical challenge turned into something unexpectedly emotional. Turns out family memories hit different when you can actually see them clearly.
Pinin.ai's answer:
Typescript, Vue.js, Supabase
Pinin.ai's answer:
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