Best Apple Apps 2017
Best Apps for iOS 2017 Worth Checking
Apple announced its annual chart
As a digital design & technology agency, we both build our own iOS apps and learn about success stories and best practices from other developers. Obviously, it’s not a once-a-year exercise. Yet, it’s always particularly interesting to strike the balance at the end of the year.
In this article, I decided to take a closer look at the apps that show off:
- The power of Augmented Reality,
- Machine Learning capabilities,
- NLP and chat/voice interfaces,
- Wearables and connectivity trends, and
- Stunning UX/UI.
Augmented Reality in your pocket
Last year it was Pokemon Go that demonstrated the power of AR. This addictive game was in focus for a long period of time. Apple invested in the technology development and introduced
Since then, a set of games and iPhone apps that leverage ARKit capabilities were pushed to the store. The benefit of these games is obvious. It’s a completely new exciting experience for players to see virtual objects projected on the real world. However, I find practical application of the technology more interesting.
Learn about gamification mobile app development in one of our success stories.
It’s pretty easy to use. Scan the empty place in the room with your camera, search the list of available products and select the desired one. Then, point the camera towards the space and drag the product to the point you want to place it. On top of practical benefits, IKEA Place is the best app to play around with.
What’s so special? This is the proper and good fit application of AR technology that can save time and money for end-users. Jokes apart, it’s really a pain to measure your room checking what furniture size you can fit in.
In general, Augmented Reality has big potential in retail. This technology can finally bridge the gap between customer perception and the reality of products.
Human Anatomy Atlas 2018
What’s so special? Healthcare and education are another areas to benefit from the application of AR. By viewing augmented models, students can get a better understanding of the field they are studying.
One of the best Apple apps in the category, Human Anatomy helps not only learn body structure, but also study diagnostic images that allow future doctors to detect diseases.
Artificial intelligence and machine learning market keeps growing. There’s no surprise nowadays almost every business collects and stores plenty of data. Thus, it can find a good case for leveraging machine learning capabilities to enhance its service or product.
The boom of machine learning on the App Store started with photo apps. This year we saw even more apps with advanced photo editing techniques. Apple named the trend “Facial Transformation.”
Today, popular iPhone apps for photo editing are powered by ML. But not only. More and more apps use ML for classification, predictions and recommendations.
Fabby — Photo & Video Editor
What’s so special? Fabby is a proof-of-concept app created by a startup founded in Belarus. AIMatter built both the app and a neural network-based SDK to detect and process images quickly on mobile devices.
Fabby showcases the use of computer vision in everyday life by automating image understanding. Eventually, this type of technology will free people from monotonous tasks and allow them to take on more intellectually complex responsibilities. By the way, this year
Yelp: Discover Local Favorites
What’s so special? Yelp is not a new app. However, it was noticed by Apple in “Machine Learning” trends section.
As many other companies, Yelp manages huge datasets, photos in particular. In the past, Yelp relied on customers’ photo tags to identify places and sites. But as the database was growing, it became more difficult to manage it.
Now, Yelp’s software applies image analysis techniques to identify color, texture, shape, etc. This powerful AI-based engine can recognize the availability of, say, sushi or pizza in a menu, or whether a restaurant has outdoor seating and would be “good for kids.”
Siri adopters & Chatbot
Apart from Machine Learning, Natural Language Processing is another digital trend of the year. Chatbots and
Recently, Apple has launched
PayPal: Mobile Cash
What’s so special? PayPal keeps innovating and enabling new technologies for the benefits of end users.
The company uses deep learning to detect fraud transactions. ML algorithms mine data from customer’s purchasing history and analyze thousands of data points in real-time. If any unusual pattern is revealed, it indicates and helps to detect fraud.
In addition, deep learning system is able to recognize deceptive merchants and get smoothed out on the sales of illegal products. This is what happens on its backend. But on the front-end, PayPal introduced a voice interface for sending and requesting payments.
What’s so special? Uber is one of the first Siri-enablers. The feature to order a ride via simple Siri commands was introduced in 2016 on WWDC event. Yes, it doesn’t make it an achievement of this year. Still, it’s a very good example of successful technology implementation.
The lack of Siri integration use cases can be explained by the novelty of the technology. In fact, it’s always worth to learn how to enhance a product with voice capabilities from the best apps on store, even if these apps stay popular without new perks. On the other hand, voice interface has its own benefits and target audience.
Ekibo is a character that turns your journey around Japan into a real adventure. This app was awarded as an “App of the Year on iPhone” in Japan.
Ekibo pet grows when you ride trains around Japan. According to the App Store description, “with time, your Ekibo will head out on journeys of self-discovery throughout Japan, bringing you back souvenirs, obscure local recommendations and selfies from far-flung locals. Ekibo will chat to you about his various quests, introduce you to fascinating places in your neighborhood and head out on the town with you.”
What’s so special? The Apple app uses chat interface to engage users. It’s an innovative and creative game with addictive mechanics and a serious technology inside.
First of all, it has a powerful NLP engine that improves dialogs over time. Conversations with people make Ekibo’s AI vocabulary grow. There’s more. The app supports ARKit. It allows to take and collect AR photos & video of the Ekibo from all around Japan. In short, it’s a Tamagotchi 2.0.
Wearable is a recent disruptive development in consumer electronics making its way to the mainstream. Apple Watch plays a major part in this process.
Nowadays, top apps enable various integrations with Apple Watch and other wearables as well as solutions that offer many health app features such as Health by Apple.
In general, wearables are the part of Internet Of Things trends. And recent numbers published by
YAZIO Calorie Counter App
You can manage your daily food diary, track your activities and lose weight using
What’s so special? The idea behind the app is significant, as it covers different aspects of your physical health (diet, activity, sports) and can easily be used as one of the patient engagement applications. Obviously, the implementation should be not less significant.
YAZIO app is designed for both iPhone and iPad and can be controlled with Apple Watch app. Moreover, it syncs with Health App and other popular fitness apps such as Fitbit, Garmin, Polar.
Cost: Basic is free on App Store, Premium goes for $19.99/3 months.
Fitbit position their app as a personal trainer. This popular Apple app provides personalized workout recommendations, sets fitness goals with bodyweight, run and walk workouts. Dynamic workouts are adjusted according to feedback, goals, exercises and daily activity tracked with a Fitbit device and user capabilities.
What’s so special? There are many fitness apps on the market. Most of them are paired with wearables.
Fitbit has a serious competitor – Apple Watch. However, the device is not the only thing that matters.
Many app users go for Fitbit on iPhone and iPad because of mature and advanced workouts that virtual coach provides. “With one of the world’s largest health databases, Fitbit is able to provide deeper, more meaningful insights to help you stay on track, get encouragement when you need it most and celebrate your successes to keep you motivated. This type of personalized coaching will enable people to build healthier habits and have better success in achieving and maintaining their health goals,”
Cost: Basic is free on App Store, Premium goes for $7.99/month.
User Experience and Visual Design
Apart from the new technology trends, efficient UX and pixel-perfect design are always a must. It doesn’t matter what technology stands behind, it’s hard to win users’ hearts without clear UX and clean UI.
What’s so special? Tastemade is a multimedia experience for users with video, text, images sharing options available across different iOS devices such as iPhone, iPad and Apple TV. The content is a king in the app. User experience is focused on engaging videos and amazing photos. Tastemade creators took care of every tiny detail, such as small animations for navigation and friendly gestures. These design elements encourage customer engagement and contribute to the Best Apple App 2017 name.
What’s so special? Complicated tasks don’t have to look or feel complicated. That’s what Lightricks did. They’ve created a video editing app for iPhone that is easy and intuitive in terms of design and UX. In other words, they’ve built a mobile video production studio for end users that allows to make Hollywood-level edits in a few minutes. By the way, this is the second app built by Lightricks that attracted Apple and user’s attention and was honored Best App 2017. The startup has already won the Apple Design Award for a photo editing app.
Cost: Free, but has a subscription-based model for advanced features.
There are many apps that deserve attention because of powerful technology, quality design or interesting business idea standing behind them. As usual, the apps highlighted by Apple within annual awards are worth studying.
The sum up takeaway for 2017 Best Apple Apps awards, therefore, comes up with an interesting trend. We see how the backend behind successful apps evolves. More complex technologies, such as big data, streaming analytics, Machine Learning, AI, NLP power the top iOS apps. It proves we live in remarkable time when a phone actually transforms into the whole world in your pocket.