AI Photo Enhancer Apps! Do They Work?!
TLDRIn this video, the creator explores the effectiveness of AI photo enhancer apps, skeptical about their ability to improve blurry or pixelated images. After testing several apps, including Vivid AI Photo Enhancer and Pixel Up, the creator is pleasantly surprised by the results, particularly with the Vivid app, which adds texture and detail to a technically sharp photo. While not perfect, the apps show promise for enhancing slightly out-of-focus photos, making them more visually appealing for casual use.
Takeaways
- ๐ค The video discusses skepticism about AI photo enhancer apps that claim to improve blurry or pixelated photos.
- ๐ธ The creator tests several apps using a set of photos: a perfectly sharp one, a softened version, and a completely out-of-focus shot.
- ๐ฑ Vivid AI Photo Enhancer and Pixel Up are mentioned as popular choices and are tested for their effectiveness.
- ๐ The apps are downloaded from the App Store, and the reviewer notes the prevalence of in-app purchases.
- ๐ A free trial is used for one of the apps with a reminder to cancel to avoid subscription charges.
- ๐ Vivid AI Photo Enhancer impresses by adding texture to a technically sharp but softened photo.
- ๐ฒ The out-of-focus photo is improved to a surprising extent by the AI, though it doesn't perfectly resemble the original subject.
- ๐คจ The reviewer is initially critical of the subscription model for these apps but acknowledges their utility for certain use cases.
- ๐ The comparison of the AI-enhanced blurry photo to the original sharp photo shows a significant difference, favoring the original.
- ๐ซ The reviewer advises against one particular app advertised on TikTok, which performed poorly in the test.
- ๐ฒ Pricing models of the apps are discussed, with a lifetime purchase option considered for one app if it offers substantial value.
- ๐ The video concludes with recommendations for the Vivid and Pixel Up apps for users seeking to enhance their photos.
Q & A
What is the main topic of the video?
-The main topic of the video is the evaluation of AI photo enhancer apps that claim to improve the quality of blurry or pixelated photos.
What was the initial skepticism of the author towards these apps?
-The author was skeptical that these apps could truly improve the quality of a photo that was originally out of focus or blurry,ๆ็ๅฎไปฌๅชๆฏ็ฎๅๅฐๅบ็จ้ๅๅๆธ ๆฐๅบฆๆปค้ใ
How did the author select the apps for testing?
-The author selected the apps for testing based on their frequent appearance in ads on social media platforms like Tick Tock and Instagram, and by searching 'AI sharpen' in the App Store.
What types of photos did the author use for the test?
-The author used three different types of photos for the test: one in perfect focus, one softened with clarity and texture filters, and one completely out of focus.
Which app showed the most impressive results in the author's test?
-The Vivid AI photo enhancer app showed the most impressive results, as it managed to add skin texture and details to a technically still sharp photo.
What was the author's opinion on the pricing of these apps?
-The author found the pricing of these apps, particularly the subscription-based models, to be unreasonable and too expensive.
Which app did the author recommend at the end of the video?
-The author recommended the Vivid app and the Pixel Up app for their ability to enhance photos, especially those that are slightly out of focus.
What was the author's overall conclusion about AI photo enhancer apps?
-The author concluded that while some AI photo enhancer apps, like Vivid and Pixel Up, can significantly improve the quality of blurry photos, others, like the Sharp AI photo enhancer, did not meet expectations.
How did the author handle the in-app purchases and subscriptions?
-The author proceeded with free trials and intended to cancel them afterwards, expressing dissatisfaction with the subscription model that most of these apps employed.
What was the author's reaction to the results of the out-of-focus photo enhancement?
-The author was surprised and impressed by the results, noting that while the enhanced photo could not compare to a well-focused original, it was good enough for casual viewing on a phone.
What advice does the author give to viewers about using these apps?
-The author advises viewers to consider these apps for enhancing slightly out-of-focus photos and suggests that they might be worth purchasing if one has many old photos to enhance.
Outlines
๐ธ Testing AI Photo Enhancing Apps
The video begins with the creator expressing skepticism about the efficacy of AI photo-enhancing apps advertised on social media platforms. To put these claims to the test, the creator selects several apps and uses them on various photos of his wife, Michelle. The photos range from a perfectly focused portrait to a completely out-of-focus shot. The creator downloads and tests apps like Vivid AI Photo Enhancer, Pixel Up, and Max Sharp AI, noting their features, in-app purchases, and the results on different types of photos. The Vivid AI app impresses the creator with its ability to add texture and detail to a technically still sharp photo, while other apps show varying degrees of success. The creator concludes that while some apps are more effective than others, AI photo enhancement can indeed improve the quality of blurry photos, making them more pleasing to the eye, especially for casual viewing on a phone.
๐ก Evaluating the Practicality of AI Enhancement
In this paragraph, the creator discusses the practical applications of AI photo enhancement, particularly for digitizing old, out-of-focus photos. Despite the impressive results from the Vivid app, the creator questions the subscription model of these apps. The creator then briefly evaluates the other three apps, comparing their features and effectiveness. The Pixel Up app is noted for its affordability and features, including AI Avatar creation. However, the creator is disappointed with the Max Sharp AI app, which fails to meet expectations and is deemed overpriced. The creator recommends the Vivid and Pixel Up apps for users seeking to enhance slightly out-of-focus photos. The video ends with the creator inviting viewers to suggest other apps to test and reminding them to stay subscribed for more content.
Mindmap
Keywords
AI Photo Enhancer Apps
Tick Tock
In-App Purchases
Vivid AI Photo Enhancer
Pixel Up
Sharp AI Photo Enhancer
Photo Enhancing
Out of Focus
App Store
Subscription Model
Digital Photos
Highlights
The video discusses the efficacy of AI photo enhancer apps, aiming to determine if they can truly improve the quality of blurry or pixelated photos.
The creator uses photos of his wife, Michelle, with varying levels of focus to test different apps' capabilities.
The first app tested is Vivid AI Photo Enhancer, which the creator has seen advertised frequently.
The Vivid AI app shows a before-and-after comparison of a blurry photo, demonstrating its enhancement capabilities.
The creator is impressed by Vivid AI's ability to add texture to a technically sharp photo with all blur and texture filters turned down.
The app attempts to enhance a photo where the subject is out of focus, with surprising results.
The creator notes that while the AI-enhanced photo doesn't look exactly like the original, it does resemble an AI-generated face.
The creator expresses hope for the enhancement of a photo that is halfway between in-focus and out-of-focus.
The Vivid app's enhancement of the halfway blurry photo is described as 'shockingly good' by the creator.
The creator suggests that for quick photos or old, out-of-focus photos, using the Vivid app for enhancement could be a satisfactory solution.
The creator rates the Vivid app and moves on to test other apps, including Pixel Up and Max AI.
Pixel Up app is noted for its additional features, such as AI Avatar creation, and a lifetime subscription option.
The Max AI app, advertised on TikTok, delivers disappointing results compared to the other apps tested.
The creator recommends the Vivid and Pixel Up apps for those looking to enhance slightly out-of-focus photos.
The video concludes with the creator encouraging viewers to subscribe for more content and suggesting further apps to explore in the comments section.