AI Photo Enhancer Apps! Do They Work?!

The Edit Place
26 Feb 202309:23

TLDRIn this video, the creator explores the efficacy of various AI photo enhancement apps, skeptical about their ability to improve blurry or pixelated images. After testing multiple apps, including Vivid AI Photo Enhancer and Pixel Up, the creator is pleasantly surprised by the results, particularly with Vivid and Pixel Up, which effectively add texture and sharpness to out-of-focus photos. The creator advises against the Sharp AI Photo Enhancer from a Tick Tock ad, finding it to be the least effective. The video concludes with a recommendation of the Vivid and Pixel Up apps for those seeking to enhance their photos.


  • 🧪 The video discusses the skepticism around apps claiming to sharpen and enhance blurry or pixelated photos.
  • 📸 The creator tests several AI photo enhancement apps using portrait shots of his wife, Michelle, with varying levels of focus.
  • 📱 The apps tested include Vivid AI Photo Enhancer, Pixel Up, Pixel Max Sharp AI, and Loopsy Enhance, which were found on the App Store through a search for 'AI sharpen'.
  • 💰 The apps are free to download but come with in-app purchases and subscription models, which the creator finds unnecessary.
  • 🤔 The creator is initially skeptical about the effectiveness of these apps but is open to being proven wrong.
  • 🌟 Vivid AI Photo Enhancer impresses by adding texture to a technically sharp photo with all blur and texture filters turned down.
  • 😲 The apps show varying levels of success in enhancing out-of-focus photos, with some results appearing AI-generated rather than true enhancements.
  • 📈 The video compares the enhanced photos with the original sharp photos, noting that while not perfect, the enhancements are impressive for casual use.
  • 👍 The creator recommends the Vivid and Pixel Up apps for their enhancement capabilities, especially for slightly out-of-focus photos.
  • 🚫 The Sharp AI Photo Enhancer, advertised on TikTok, is considered the least effective and not worth the investment.
  • 🔄 The video encourages viewers to subscribe for more content and suggests further exploration of other apps in the comments section.

Q & A

  • What is the main topic of the video?

    -The main topic of the video is a review and test of various AI-powered photo enhancement apps that claim to improve the quality of blurry or pixelated photos.

  • What was the initial skepticism of the reviewer regarding these apps?

    -The reviewer was skeptical that these apps could truly improve the quality of a blurry photo, suspecting that they might just be applying sharpen and clarity filters without actually adding any new details or textures.

  • How did the reviewer select the photos for testing the apps?

    -The reviewer selected a set of photos that included a perfectly sharp and focused portrait, a softened version with clarity and texture filters applied, an out-of-focus shot focusing on the background, and a halfway in-focus photo.

  • Which apps did the reviewer choose to test?

    -The reviewer chose to test Vivid AI Photo Enhancer, Pixel Up, Pixel Max Sharp AI, and Photo Enhance. The selection was based on their visibility in the App Store and advertisements the reviewer had encountered.

  • What was the reviewer's overall impression of the Vivid AI Photo Enhancer?

    -The reviewer was impressed with the Vivid AI Photo Enhancer, noting that it added texture to the skin and seemed to analyze what should be sharp versus what should be soft. The app managed to improve the quality of the photos, making them passable for smaller viewing sizes like on a phone.

  • How did the other apps perform in comparison to Vivid AI Photo Enhancer?

    -The other apps showed varying results. Pixel Up and Photo Enhance had comparable performance to Vivid, with Photo Enhance offering a more painting-like effect. Pixel Max Sharp AI, however, was disappointing as it seemed to only apply a Clarity filter without significant improvement to the photo's focus.

  • What was the reviewer's recommendation for viewers interested in photo enhancement apps?

    -The reviewer recommended the Vivid AI Photo Enhancer and Pixel Up apps for those looking to sharpen their photos, as they showed promising results in the test. They advised against the Pixel Max Sharp AI, which they found to be the least effective.

  • What pricing models did the reviewer encounter within these apps?

    -The reviewer encountered various pricing models, including weekly subscriptions, lifetime memberships, and one-time purchases. They expressed dissatisfaction with the subscription model, suggesting that a yearly subscription would be more reasonable for certain use cases.

  • How did the reviewer handle the in-app purchases and subscription offers?

    -The reviewer signed up for free trials where available and made a point to remember to cancel them to avoid charges. They also considered the value of the features offered against the cost for a one-time purchase.

  • What was the reviewer's final verdict on the effectiveness of AI photo enhancement apps?

    -The reviewer concluded that while not perfect, some AI photo enhancement apps, specifically Vivid and Pixel Up, could significantly improve the quality of out-of-focus photos, making them suitable for casual viewing or sharing on social media platforms.



📸 Testing AI Photo Enhancers for Blurry Images

The paragraph discusses the skepticism towards AI photo enhancement apps that claim to improve the quality of blurry or pixelated photos. The speaker decides to test these apps by using a set of photos of his wife, Michelle, which include a perfectly focused image, a softened version, and completely out-of-focus shots. The speaker downloads several apps from the App Store, including Vivid AI Photo Enhancer and Pixel Up, and evaluates their effectiveness in enhancing the photos. The Vivid app shows promising results, adding texture and detail to the skin and hair, while the other apps have varying levels of success. The speaker concludes that while these apps are not perfect, they can be useful for quick fixes and enhancing slightly blurry photos.


💡 Evaluating the Practicality of AI Photo Enhancers

In this paragraph, the speaker continues his evaluation of AI photo enhancement apps, focusing on their practicality and potential use cases. He considers the possibility of using these apps for digitizing old, out-of-focus photos and finds value in the Vivid and Pixel Up apps for such tasks. The speaker also discusses the pricing models of the apps, expressing dissatisfaction with the subscription-based model. He then compares the results from the different apps, finding that Vivid and Pixel Up outperform the others. The speaker warns against one app in particular, which he found to be the least effective. He concludes by recommending Vivid and Pixel Up for those looking to sharpen their photos and encourages viewers to share their recommendations and thoughts in the comments section.




ADS in the context of the video refers to advertising, specifically digital ads that the speaker encounters on various social media platforms like Tick Tock (likely a misspelling of TikTok) and Instagram. These ads often showcase apps that claim to enhance or 'sharpen' images. The speaker expresses skepticism about the effectiveness of these apps and decides to test them out, making ADS a central theme of the video.

💡Tick Tock

Tick Tock is mentioned as a platform where the speaker frequently encounters advertisements. It is likely a misspelling or alternative name for TikTok, a popular social media app known for its short-form videos. In the context of the video, Tick Tock serves as a channel through which the speaker discovers the apps they intend to test for photo enhancement.

💡AI sharpen

AI sharpen refers to the use of artificial intelligence algorithms to enhance the clarity and sharpness of images. In the video, the speaker tests various apps that utilize AI to 'sharpen' photos, aiming to improve their quality from blurry or out-of-focus originals. This term is key to understanding the video's focus on evaluating the effectiveness of AI-based photo enhancement tools.

💡Vivid AI photo enhancer

Vivid AI photo enhancer is one of the apps the speaker chooses to test for photo enhancement. It represents the category of AI-powered photo editing tools that the video is exploring. The app's performance and the speaker's satisfaction with its results contribute to the overall assessment of the effectiveness of AI in improving image quality.

💡Pixel up

Pixel up is another app mentioned in the video that focuses on enhancing the quality of images. It represents an alternative option to Vivid AI, and the speaker's evaluation of its performance contributes to the broader comparison of different AI photo enhancement tools. The term is significant as it reflects the video's exploration of various solutions for improving digital images.


Sharpness in the context of the video refers to the clarity and definition of an image. The speaker is interested in whether the AI apps can improve the sharpness of photos that are blurry or out of focus. Sharpness is a critical aspect of the video's theme, as the speaker evaluates the effectiveness of different apps in enhancing image quality.

💡In-app purchases

In-app purchases refer to additional features or services that can be bought within a mobile app. In the video, the speaker mentions in-app purchases as a common feature of the AI photo enhancement apps they test. This concept is relevant because it indicates the business model of these apps, which often offer a basic version for free with the option to pay for more advanced features.

💡Out of focus

Out of focus describes a photographic term where the subject of a photo is not sharply defined or clear due to incorrect focus settings. In the video, the speaker uses out-of-focus photos as a test case for the AI enhancement apps, aiming to see if these apps can correct or improve the quality of such images. This term is central to the video's theme as it highlights the challenge that the apps are meant to address.

💡Enhancer app

The term 'enhancer app' refers to applications designed to improve the visual quality of images or videos. In the video, the speaker tests multiple enhancer apps to see if they can add sharpness and clarity to photos that are blurry or have low resolution. The performance of these enhancer apps is the primary focus of the video, making it a key concept.

💡Subscription model

A subscription model is a type of business model in which customers pay a recurring fee to use a product or service. In the video, the speaker expresses frustration with the subscription model used by the AI photo enhancer apps, as they often require a monthly or yearly payment for full access to features. This concept is relevant as it discusses the pricing and accessibility of the apps being tested.

💡Photo enhancement

Photo enhancement refers to the process of improving the visual quality or appearance of a photo through digital editing techniques. In the video, the speaker is exploring different apps for photo enhancement, aiming to see if they can rescue out-of-focus or blurry images. This concept is central to the video's theme, as it encapsulates the goal of the speaker's experiment with the AI apps.


The video discusses the skepticism around apps that claim to sharpen and enhance blurry or pixelated photos.

The creator decides to test several of these apps to see if they live up to their claims.

A set of photos with varying levels of focus is used to test the apps, including one that is perfectly sharp, one softened with filters, and two out of focus shots.

The first app tested is Vivid AI Photo Enhancer, which the creator was skeptical about but impressed with the results.

Vivid AI Photo Enhancer was able to add texture to skin and enhance details in a technically still sharp photo.

The app brought back hair details and improved the overall quality of a blurry photo, making it passable for a small-sized view like on a phone.

The creator was surprised by the capabilities of the apps and found them more useful than expected, especially for quick photo fixes.

The second app tested was Pixel Up AI, which also showed impressive results in enhancing out of focus photos.

The third app, Max AI, was advertised on TikTok and tested for its ability to enhance a photo with a blurred background.

Max AI tried to apply a Clarity filter to enhance the photo, but the results were not as good as the other apps.

The last app tested was Photo Enhance, which had a painting-like effect and was not as effective as the Vivid or Pixel Up apps.

The creator recommends the Vivid and Pixel Up apps for their effectiveness in enhancing photos, while advising against the Max AI app.

The video concludes with the creator's satisfaction in finding useful tools for photo enhancement, especially for quick fixes and smaller-sized views.