How New Technologies are Disrupting the Web Development Industry

The use of technology has been disrupting in every sector. For good or for bad, innovations are being implemented, and there is no way back.

The use of technology has been disrupting in every sector. For good or for bad, innovations are being implemented, and there is no way back. Web and mobile app development industry has also been affected by the use of new technologies. Accelerated mobile pages, voice search, and artificial intelligence (AI) are only a few technologies that are now being used to improve websites.

Designers have to adapt and face new market challenges. For example, companies now rely on digital marketing to increase their sales and improve their brand recognition, but they can only be achieved with the help of websites. For that reason, web developers need to build better websites, with better performance and features.

In like manner, the use of augmented reality (AR) for online shopping has also set new challenges for developers. For that reason, staying current is a must for web developers today.

To realize how new technologies are affecting the Tech industry, here are some aspects we should take into consideration.

Artificial Intelligence and Machine learning 

Nowadays, developers have used Machine Learning (ML) and Artificial Intelligence (AI) to improve their Applications in a way with no precedents. Now, with the use of machine learning, sites can provide more personalized experiences. Users now consume tailored content. In effect, companies like Netflix, Spotify, and Youtube have used machine learning to suggest relevant content based on users’ inputs. Users now feel comfortable about machine learning because they do not have to spend time looking throughout content they don’t like.

Also, since the voice search optimization was implemented, customers are constantly engaged. They can search for something by telling their smartphone to do it and thanks to optimization, the results will load faster. In effect, when using voice search features, customers spend less time on searching content than before.

Although this may be true, not everything about the use of machine learning is good. For example, users now complain about privacy issues. People know that machine learning algorithms are used to monitor their behaviors and online interactions. As a result, many customers feel alarmed about it.

Also, it does not matter how well software engineers, web developers have built chatbots. Customers will be able to notice when a response is sent by AI. Similar to privacy issues, most customers complain about automated responses because of impersonal interactions.

With this in mind, software engineers have to work harder every day to build more sophisticated solutions that meet customers’ needs. Web development for startups has become a separate niche with its own rules and challenges. Discovery Phase, ARPU, MAUs, DAUs are important concepts for these people.

Content Management Systems (CMS)

Content management systems (CMS) are used to simplify the website creation process. In effect, users do not require a great knowledge of web development, they only need to know what kind of content they want to share and add a few widgets to get the job done. However, providing a unique experience using a CMS like WordPress or Wix can be difficult as most of the websites are built using generic layouts.

On the positive side, for company owners, web developers might not be essential in creating visually appealing websites because CMS is easy to use. Websites are built on a hosting provider that gives access to databases and files.

Accelerated Mobile Pages (AMP)

Accelerated mobile pages (AMP) have been used since using smartphones became popular. In effect, with more customers now using mobile devices, having high-speed loading websites is a need. The use of AMP provides solutions to several existing issues. For example, using the technology not only boosts mobile rankings but also reduces server load. In effect, it improves the user experience for incoming traffic, as well as reduces the stress on website hosting servers.

However, not everything is perfect, using AMPs also has disadvantages. In the first place, using accelerated mobile pages reduces ad integration on websites. As a result, website owners will notice a decrease in their revenues. Secondly, e-commerce websites use dynamic elements that are not supported by AMP. For this reason, when a customer visits a website and gets redirected, the company may lose credibility. Finally, there are restrictions on websites’ content as the final viewable design is under the control of Google.

Hybrid Mobile App Development

But in recent crisis times, technologies that give us multiplatform and hybrid solutions have been in great demand. Many companies like the advantages of reducing costs, fast releases and market entry. Hybrid mobile development also reduces the risks of third party integrations as there is no dependence on the type of platform for which the application is built. In the implicit Saas and API services it is a big advantage to ensure stable operation.

Top 10 Hybrid Mobile App Development Frameworks

  • Ionic.
  • Sencha.
  • React Native. 
  • Mobile Angular UI.
  • jQuery Mobile.
  • Flutter.
  • Xamarin.
  • Onsen UI.
  • Corona SDK.

Most Popular Hybrid App Examples in 2022

Instagram

Adopting the hybrid approach has allowed developers to build an app that supports both offline data and rich media. The best example of this is the signature short videos. The app lets the user access the media even when they are offline or at least displays an error message.

Evernote

Evernote is the best example to show that performance is not an issue now for hybrid applications. In spite of its beautiful design, Evernote is extremely efficient in driving productivity. The intuitive and flawless functionality of Evernote is built with (mention the framework).

Baskin Robbins

Your favorite ice-cream store has a hybrid mobile app. The application uses HTML5 to provide best offline access to the users with a similar UI on various platforms. The way Baskin Robbins has combined native and HTML5 features is impressive.

Pacifica

Pacifica app has one of the best UI. Pacifica has a set of various videos to be added as the background. The video theme background of the application gives a native-like look and feel. The rows of features are loaded as the web layer and wrapped in native navigation.

Remote POS

The Remote POS app is to manage and handle a whole restaurant through a single mobile application. The application works offline and needs internet connectivity for printing the final bill of the customer. The application has local data storage as well as cloud storage. The app allows easy staff handling and order management.

Sworkit

The application is the ultimate guide to work out and exercise, providing interactive video sessions. The application is reliable with the iMessage app and apple watch app making it more native-like. The user can sync the application with Google fit application to track the data.

UBER

Yes, the mobile app you are currently using to make your traveling comfortable and easy to access is one of the most popular hybrid app examples. The easy navigation and simple user interface make this app extremely popular among its rival apps.

Gmail

Google has been using HTML for its popular internet mail service for a long time. It is astonishing to see how Google has made a new version for the mobile application of Gmail using both native and HTML elements.

Twitter

I know it is difficult to believe, but Twitter is also among top hybrid app examples. To handle a high level of traffic, Twitter is using a hybrid approach. It is proof that performance is not an issue for hybrid apps.

Augmented Reality for Web development

Web designers have implemented augmented reality (AR) technology in smartphone cameras and webcams to help customers choose products. In effect, the use of AR improves user experiences on desktops, as well as mobile devices. AR has been used in several sectors like retail, home improvement, and gaming. Users can now point their cameras wherever they want and have a preview of the product. For example, in the home improvement sector, homeowners can select a product and point their camera to see how it fits in a room. Also, in fashion retail, customers can scroll through outfits and see which one fits better. It is reasonable to say that augmented reality has changed the way people are shopping online, increasing customers’ satisfaction.


Our goal is to use new technologies to rapidly grow our business. Someone is looking back, but great players are only looking forward. There will be our path to efficient and successful business.

AI Content Creation Toolkit Map

The AI Content Creation Toolkit is a suite of content generation software that uses artificial intelligence to generate all types of content in a fraction of the time it would take an ordinary human writer or artist.

Sources

  • Sequoia Deep AI Market Research / Sept 19 2022 / URL: https://www.sequoiacap.com/article/generative-ai-a-creative-new-world/

This space is moving quickly – this map is a living document, so keep the suggestions coming! Who else should we include?

Best Deepfake bots on Telegram: What is it and How it Work?

3,886,426,376 Photos Nuded Now! How to set Up? Why mens used it?

Sensity company (Formerly known as Deeptrace), which specializes in AI information security, has discovered a network of Telegram bots that generate nude deepfakes based on arbitrary photographs of women. As of August 2022, DeepNude bots have generated photos of near 9.800.000+ women.

DeepNude Telegram bot website screenshot

Examples of DeepNude’s software can be seen in repositories on GitHub: the incoming image and the result.

how it works

Over the past 4 months, the volume of orders has increased almost three times. The investigation showed that most clients are asking to take nude photos not of celebrities, but of their own acquaintances who are known in real life. It is possible that some clients of the service are teenagers.

Keynotes:

  • Self-reporting by the bot’s users indicated that 70% of targets are private individuals whose photos are either taken from social media accounts or private material. 
  • A limited number of bot-generated images shared publicly across affiliated channels featured targets who appeared to be underage. 
  • The bot and its affiliated channels have attracted approximately 101,080 members worldwide, with 70% coming from Russia and ex-USSR countries. 
  • The bot received significant advertising via the Russian social media website VK, which itself features related activity across 380 pages. 
  • These findings also allude to broader threats presented by the bot. Specifically, individuals’ “stripped” images can be shared in private or public channels beyond Telegram as part of public shaming or extortion-based attacks.

On Reddit and other Social Media posted treads about it:

post on reddit.com

Most such messages collect a lot of interactions and comments from the audience. Many users point to poor-quality pictures. Which can’t really harm women.

Popular Deepfake Telegram Bot Names

  • @DeepNudeChat_Bot – link2 (EN) – 5000 referrals only by this backlink
  • @deep_nudesbot – link here (only RU)
  • @fakenudes3bot – new (ES)
  • @DeepNudeBot – is not allowed
  • @deepnudebots – is not allowed
  • @maloletki_v2 – is not allowed

A technology similar to DeepNude, the 2019 app that shut down shortly after launch, is now spreading unfettered on Telegram.

Karen Hao

This time it has an even simpler user interface: anyone can send the bot a photo through the Telegram mobile or web app and receive a nude back within minutes. The service is also completely free, though users can pay a base of 100 rubles (approximately $1.50) for perks such as removing the watermark on the “stripped” photos or skipping the processing queue. 

Is it ethical to use a deepfake apps?

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The researchers also reached out to Telegram and to relevant law enforcement agencies, including the FBI. Telegram did not respond to either their note or MIT Technology Review’s follow-up request for comment. Patrini says they also haven’t seen “any tangible effect on these communities” since contacting the authorities.

On a local computer, DeepNude Soft requires a powerful system and GPU. However, the entire ecosystem of Telegram bots runs from online servers, so the service is available to anyone with a phone. This is one of the main reasons why bots are so popular, says Sensity.

Perhaps, this rather primitive “erotic” application was the first commercially successful application of machine learning for image processing. It reminds a joke that porn is the engine of technological progress.

What are the chances that you will use a Fake nude generator?

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FaceMagic App Review: Swap Faces

Have you ever been sick of posting the same old selfies on Instagram? Do you want to shake things up a little bit? FaceMagic is here to blow you away. FaceMagic is an AI-based face swap app powered by deep fake technology that lets you swap your face on gifs, videos, photos, and whatnot.

The rapid growth of AI has produced insight in many industries. It is making games, video games, movies, and travel more interesting and accessible. This app is a new way to think about taking selfies and photographs in general – you take the creative process forward by yourself. Make a meme, make your friends dance, or replace yourself in iconic TV shows and movies. 

Introduction: What is the FaceMagic App?

Websitehttps://www.facemagic.ai/
Download on the App Storehttps://apps.apple.com/app/apple-store/id1566529086
GET IT ON Google Playhttps://play.google.com/store/apps/details?id=com.xgd.magicface

FaceMagic is a photo editor app that lets you swap faces with one another. You can choose from a range of pre-existing faces or import your own.

The FaceMagic app is an easy way to change your appearance, add makeup, remove wrinkles and make other adjustments to your face. It is available for free on both Android and iOS devices.

How Does the FaceMagic App Work?

FaceMagic is a photo editing software that is designed to make your face look like it has been edited.

FaceMagic is a photo editing software that can help you create the perfect selfie. It can remove any blemishes, wrinkles, or acne from your skin and make you look like you have flawless skin.

Why are People So Interested in the FaceMagic App?

FaceMagic is a popular, free app for mobile devices that allows people to swap faces between two photos. It has been downloaded by more than 50 million users and has been featured on the Today Show, Good Morning America, and Time Magazine.

The app is so popular because it allows people to make funny and creative edits of their selfies. The app also provides an easy way to edit group photos when someone in the photo is not available or has already left the event.

The Best Way to Use the Face Magic App!

Face Magic App is a new app that lets you swap your face with someone else’s. It also lets you do some other cool things like adding cool filters and overlaying text on top of the photo.

The app has become very popular in the past few months, with over 4 million downloads. It is now one of the most downloaded apps in both the Apple Store and Google Play store!

The best way to use Face Magic App is to have fun with it!

5 FaceMagic App Hacks to Create Amazing Photos Without Photoshop

keywords: face swap app, face swap photo editor, swap faces app, photo editing app

Face swap app is a photo editing app that allows you to swap faces in photos. It’s an amazing and fun way to share your favorite photos with friends and family.

It can also be used for practical reasons like changing your profile picture on social media platforms. You could also use it for commercial purposes like adding your favorite celebrity’s face to a product advertisement or creating a meme from an existing photo.

FaceMagic is one of the most popular face swap apps available in the market today. It has more than 100 million downloads worldwide and offers more than 200 different types of effects, filters, and frames.

What is Reface App?

Reface is the top-rated AI face swap app. Reface app is also advanced, fun and well-known worldwide.

A photo is worth a thousand words. Our technology is giving you a whole new way to express yourself on social media with the Reface app. It allows you to swap your face with someone else’s in the photo and share it with your friends or use it as your profile picture. You can also take selfies, edit them and swap faces before posting them on social media.

FaceMagic App Review – A Photo Editor That Lets You Swap Faces Like Magic

FaceMagic is a photo editor that lets you swap faces like magic. The app takes a photo of your face and then you can choose from different celebrities to place over top of it. This app is perfect for those who are looking for a way to change their face in order to make themselves look more attractive or just plain silly.

FaceMagic is an app that provides users with the ability to swap faces with celebrities in order to make themselves look better, more attractive, or just plain silly.

Conclusion: The Ultimate Guide to Using the Face Magic Photo Editor

In this guide, we have talked about the importance of using Face Magic Photo Editor. We have also discussed some of the best features of this photo editing app and how you can use it to edit your photos.

We hope that you find this guide useful and informative.

How to Produce a DeepFake Video with Putin in 5 Minutes

Everybody can make DeepFakes to support ukrainians without writing a single line of code.

In this story, we see how image animation technology is now ridiculously easy to use, and how you can animate almost anything you can think of. 

Top Methods To Create A DeepFake Video

Deepfakes are videos that are created using an AI software which makes the person in the video look like they’re saying something that they didn’t say. They often involve celebrities and politicians.

In 2018, deepfakes became a popular topic on social media when it was revealed that one of the best deepfake creators, a Reddit user who goes by “deepfakes,” had used their skills to create a fake video of former president Barack Obama.

This video was made using an AI software called FakeApp which is free to use for non-commercial purposes.

Deep Fakes Are Here and Nobody Knows How to Deal with Them Yet!

Deep fakes are a new kind of media that is being used to manipulate videos and images. They are created by combining different pieces of media and recreating them with deep learning algorithms. Deep fakes have the potential to cause a lot of harm but they can also be used for good.

This article will explore the ways in which deep fakes can be used for both good and bad.

Methodology and Approach

Before creating our own sequences, let us explore this approach a bit further. First, the training data set is a large collection of videos. During training, the authors extract frame pairs from the same video and feed them to the model. The model tries to reconstruct the video by somehow learning what are the key points in the pairs and how to represent the motion between them.

Figure 1 — Framework architecture (A. Siarohin et al., NeurIPS 2019)

To this end, the framework consists of two models: the motion estimator and the video generator. Initially, the motion estimator tries to learn a latent representation of the motion in the video. This is encoded as motion-specific key point displacements (where key points can be the position of eyes or mouth) and local affine transformations. This combination can model a larger family of transformations instead of only using the key point displacements. The output of the model is two-fold: a dense motion field and an occlusion mask. This mask defines which parts of the driving video can be reconstructed by warping the source image, and which parts should be inferred by the context because they are not present in the source image (e.g. the back of the head). For instance, consider the fashion GIF below. The back of each model is not present in the source picture, thus, it should be inferred by the model.

Next, the video generator takes as input the output of the motion detector and the source image and animates it according to the driving video; it warps that source image in ways that resemble the driving video and inpatient the parts that are occluded. Figure 1 depicts the framework architecture.

Code Example

The source code of this paper is on GitHub. What I did is create a simple shell script, a thin wrapper, that utilizes the source code and can be used easily by everyone for quick experimentation.

To use it, first, you need to install the module. Run pip install deep-animator to install the library in your environment. Then, we need four items:

  • The model weights; of course, we do not want to train the model from scratch. Thus, we need the weights to load a pre-trained model.
  • A YAML configuration file for our model.
  • A source image; this could be for example a portrait.
  • A driving video; best to download a video with a clearly visible face for start.

To get some results quickly and test the performance of the algorithm you can use this source image and this driving video. The model weights can be found here. A simple YAML configuration file is given below. Open a text editor, copy and paste the following lines and save it as conf.yml.

model_params:
common_params:
num_kp: 10
num_channels: 3
estimate_jacobian: True
kp_detector_params:
temperature: 0.1
block_expansion: 32
max_features: 1024
scale_factor: 0.25
num_blocks: 5
generator_params:
block_expansion: 64
max_features: 512
num_down_blocks: 2
num_bottleneck_blocks: 6
estimate_occlusion_map: True
dense_motion_params:
block_expansion: 64
max_features: 1024
num_blocks: 5
scale_factor: 0.25
discriminator_params:
scales: [1]
block_expansion: 32
max_features: 512
num_blocks: 4

Now, we are ready to have a statue mimic Leonardo DiCaprio! To get your results just run the following command.

deep_animate <path_to_the_source_image> <path_to_the_driving_video> <path_to_yaml_conf> <path_to_model_weights>

For example, if you have downloaded everything in the same folder, cd to that folder and run:

deep_animate 00.png 00.mp4 conf.yml deep_animator_model.pth.tar

On my CPU, it takes around five minutes to get the generated video. This will be saved into the same folder unless specified otherwise by the --dest option. Also, you can use GPU acceleration with the --device cuda option. Finally, we are ready to see the result. Pretty awesome!

Conclusion

I this story, we presented the work done by A. Siarohin et al. and how to use it to obtain great results with no effort. Finally, we used deep-animator, a thin wrapper, to animate a statue.

How are the Technologies Changing Gaming and Gambling Industries: extending old boundaries

Today’s top online casino and other games have hardly anything in common with old games, for example, old virtual slots. The gaming and gambling markets are in a constant state of flux, causing the game developers to work at new games. Technological innovations help them to optimize the user’s experience and provide the games with new options to the classic versions of many games. This development is also being driven by demand. There is plenty of different online casino and mobile games on the market. 

There are several exciting digital technologies that are currently either in the starting blocks or are already available across the board for the first time. And these technologies improve both gaming and gambling landscapes. That’s looking at these trends in detail and trying to understand in what way are they changing gambling, and gaming modern landscapes.

CROSS-PLATFORM GAMES

A major trend on the market is currently the increased emergence of so-called cross-platform games, i.e., games that can be played across platforms between phones, PCs, and consoles. Technologically, this is possible thanks to better CPUs in smartphones and network connections.

Besides, all friends are no longer forced to buy one and the same platform to play together. With cross-platform games you can for example build your own world in Minecraft together with your buddy on the smartphone. The role of such games is becoming more and more important, and so this feature will also be a high priority in the next console generation.

5G TECHNOLOGY AND ALWAYS ONLINE EVERYWHERE

The new 5G mobile communications standard not only pleases fans of YouTube and Twitch but also gamers. After all, one of the most successful gaming sectors at present is none other than online casino games.

With 5G, concepts like a live casino will soon be available to all smartphone gamers on the go – as well as completely new ways to experience games online casinos. The live casino is a casino where players are dealt cards by real card dealers and can see their opponents. This will delight the industry and gamers alike. It may also have an impact on the betting industry. For example, it can improve the interactive live betting – just look at https://tonybet.com/ca. Better internet connection makes the process of live gambling or betting more dynamic and immersive.

SIMULATION TECHNOLOGIES

The topic of simulation is especially in the focus of newer games. Through this technology, the customer has the feeling of being even more present in the game and perceives everything in real-time. 

ARTIFICIAL INTELLIGENCE

Many people don’t immediately associate artificial intelligence with modern games, or online casinos. This technology is originally used to work with large amounts of data. Anyway, there are also some games, where artificial intelligence mimics human behaviour in a certain way.

AUGMENTED REALITY IS THE FUTURE 

Augmented reality is an increasingly important topic in the mobile gaming market, so as in the gambling industry. Many game developers try to incorporate augmented reality technology into a variety of games. In 2016 a Pokémon Go had a phenomenal success. And since then, it has been clear that the fusion of real and virtual reality has a great potential for games.

CONCLUSION

Ever new technologies ensure ever better gaming experiences on iOS and Android. Whether augmented reality, 5G, or cross-platform games, there should be something for almost all customers. What will the market look like in another ten years? It will definitely remain exciting. Anyway, it must be noted, that gamers and gamblers do strive for immersive and interactive gaming experiences. That’s why live gaming and augmented reality are becoming so popular.

New AI App ‘Deep Nostalgia’ Brings Old Photos To Life

Service from MyHeritage uses deep learning technique to automatically animate faces

An AI-powered service called Deep Nostalgia that animates still photos has become the main character on Twitter this fine Sunday, as people try to create the creepiest fake “video” possible, apparently.

The Deep Nostalgia service, offered by online genealogy company MyHeritage, uses AI licensed from D-ID to create the effect that a still photo is moving. It’s kinda like the iOS Live Photos feature, which adds a few seconds of video to help smartphone photographers find the best shot.

But Deep Nostalgia can take photos from any camera and bring them to “life.” The program uses pre-recorded driver videos of facial movements and applies the one that works best for the still photo in question. Its intended purpose is to allow you to upload photos of deceased loved ones and see them in “action,” which seems like a lovely idea.

Like most “deepfakes” like “deepnude” – the name for the popular use of this technology to map one person’s face on to footage of another – the service is exceptionally good at smoothly animating features and expressions. But it can also struggle to generate data to fill in the “gaps” in what it can see from the source photos, causing a sense of the uncanny.

Users have to sign up for a free account on MyHeritage and then upload a photo. From there the process is automated; the site enhances the image before animating it and creating a gif. The site’s FAQ says it does not provide the photos to any third parties, and on its main page a message reads “photos uploaded without completing signup are automatically deleted to protect your privacy.”

Naturally, the program has become something of a meme-generator on Twitter, with users trying to push the AI to its limit. An archaeologist used photos of ancient statues, and yes they included some with the blank eyes. Sorry in advance for the nightmare fuel (but hiiii there Alexander the Great):

“Some people love the Deep Nostalgia feature and consider it magical, while others find it creepy and dislike it,” MyHeritage says about its technology. “Indeed, the results can be controversial and it’s hard to stay indifferent to this technology. This feature is intended for nostalgic use, that is, to bring beloved ancestors back to life. Our driver videos don’t include speech in order to prevent abuse of this, such as the creation of ‘deep fake’ videos of living people.”

Not every video created with the service is elegantly animated, or even good enough to be unsettling, of course. An animated version of the infamous bust of Ronaldo, for instance, is exactly as distressing as the static version:

And while the automatically produced videos of Deep Nostalgia are not likely to fool anyone into thinking they are real footage, more careful application of the same technology can be very hard to distinguish from reality.

Deep Nostalgia can only handle single headshots and can only animate faces, so you’re not going to be able to reanimate mummies to make it look like they’re walking (hey I wondered, OK?). You can upload five photos for free to the MyHeritage website for Deep Nostalgia treatment, after that you have to register for a paid account.

Last month, a new TikTok account named deeptomcruise racked up millions of views with a series of videos that are, it claims, deepfake versions of the actor talking to camera. The Cruise fakes are so accurate that many programmes designed to recognise manipulated media are unable to spot them.

  1. How does the Deep Nostalgia software illustrate the growing problem of deep fakes?
  2. What are the biggest trends in deep fakes at the moment?
  3. How can users protect themselves against being fooled by deep fakes?

Using AI how to get accurate results from image to text tool

Nowadays almost everything is digitally connected, whether it’s a business, a classroom, or a road trip.  

People are relentlessly using different technologies to indulge the usage in their daily lives.

Gone those old days when people used to send handwritten letters, or hardly use printed text and a major reason is people use digital text that can be easily edited, shared, or for other meaningful purposes.

Let’s get deeper into it.

The connection between AI and Image to text

Thanks to the OCR technologies that use Artificial intelligence programs that can easily fetch a picture and extract text from it.   

In a recent study “Optical Character Recognition is a field of research in Artificial Intelligence and Computer Vision that consists of extracting text from images”.

Some people might be unfamiliar with the concept of what is OCR? 

Optical character recognition is a technology that uses a text detecting device like a digital camera to take pictures and then it uses a software that can extract the data from any visual and convert it for further use.

The accuracy level of Image to text

Nowadays in almost every sector, OCR has gained a lot of respect due to its AI advancement.

It has become not only an image-to-text traditional conversion process but also a human mistakes checker. 

Like it’s widely used in the education sector to examine MCQs papers as it saves time, gives accurate results and stores the data very efficiently.

OCR engine’s job is to extract the data from an image that it performs perfectly, but due to its nature, it follows a pattern or in simple words, it follows a structured form of data, or else it cannot give accurate results.

Thanks to the developers who have tested and worked hard to get the best out of OCR technologies, these experts have incorporated two major distinct altogether in OCR engine such as given below:

  1. Machine learning – With the passage of time the OCR technologies have incorporated machine learning.

Machine learning is technology replicating human ability to different patterns of texts like fonts, gaps in between characters, colors, alignment, writing styles, language on any visual.

Sometimes when the visual quality is not good the OCR technology can miss out on the character, especially when the spacing in between characters is very congested.

In the testing segments, it can be trained to go through similar patterns so that it can detect those errors and correct it, thus improve the accuracy level.

  1. Intelligent data processing – Incorporating AI technologies like intelligent data processing users can minimize the extraction errors from unstructured text, it helps in identifying relevant sections required for extracting and classifies them before extracting.

Further, it trains the Machine learning modules to extract the only data required on a visual, which thankfully eliminates the need for manually entering data into an application and improve the accuracy level. 

Traditional OCR engines alone were not quite as accurate as the latest ones are developed and this is all well designed because of involving AI technologies (Machine learning, intelligent data processing). 

This replicates a human brain at a very low level of errors, thus giving the user accurate results.     

Benefits of using Image to text converter tools

First of all image to text is basically an OCR that consists of using the latest AI technologies, to give accurate results in the form of digitized text that can be incorporated for multiple purposes. Like Prepostseo, Aconvert, Hipdf.

  • It helps in converting any form of visual picture text into an editable text format;
  • It helps in extracting required data in an organized format;
  • It helps in pdf text recognition to further use it while writing in white papers;
  • It helps to extract text from any image available on the internet by simply copy-pasting the URL;
  • It helps to get accurate results by eliminating manual errors;
  • It helps in scanning barcodes and interpreting it in computer language especially in bulk quantity;
  • It saves time and money when students are looking to photocopy assignments and then create in word file;  
  • It helps in recognizing old historical handwritten documents in a digital format like a word file;
  • It helps in highlighting the desirable text and converting it into a new editable format which can be used in a new picture; 
  • It’s more compact when storing all the data in a device storage disk, as compared to traditional manual documentation record rooms;
  • It helps to translate different language’s visual text into their own preferred language, like translating Chinese signboards into English.  

Uses of Image to text 

As the digital world is continuously evolving, Image to text is getting used in almost every field.

Applications of Usage:

  • It can be used in Legal documents, like tax or property documents for extracting the manual written document and convert it into digital format for a longer life span;
  • It helps vehicle passing authorities for license plate recognition;
  • It helps in public images to detect large texts especially for marketing purposes;
  • It’s widely used in enterprises to share documents and edit it in own format, like pdf image to text converting purposes;
  • It is used in airports for extracting desired text from passports, e-tickets and etc;
  • It can be used in classrooms for saving time and easily understand the handwriting while noting down notes from other classmates;
  • It is widely used in shopping stores to scan the barcode of the products and automatically generate invoices while cross-examining the price list of the product;
  • It’s widely used in the medical sector as extracting the medicines from prescriptions can be a little challenging, so it can make it easier for the user to understand.  

How to Use AI to Boost Your Sales in E-commerce?

The onrush of artificial intelligence and its impact on all spheres of our lives is immense. E-commerce and online retail are among those realms that use the evolution of this technology to their advantage.

The truth is that year by year AI and machine learning are expanding their range of influence, becoming smarter and getting better in cultivating their skills of understanding consumers and their needs. This means that with the help of innovative technology, store owners can boost user experience, forecast trends, increase brand awareness, and consequently sell more.

When AI and e-commerce are team players, the opportunities for business growth are colossal. In this post, we’d like to tell you about the ways you can use innovative technologies to accelerate your online store success. As well, we will introduce you to the brands that implemented AI in their websites and how that works out. So, let’s go ahead.

1. Using AI-powered Chatbots For Improving Communication With Customers

Customer service is definitely among the areas where artificial intelligence can shine. Since most consumers are not fussed about whether a human being or a computer helps them, the number of companies using chatbots in customer service is growing exponentially.

People love chatbots. They are fast, responsive, polite no matter what, and always there when you need them. AI-based virtual assistants are able to perceive human intention without keyword matching and save an agent’s time by resolving common issues.

The whole concept of artificial intelligence is based on mimicking human cognitive abilities. AI-based chatbots can learn from previous experience and adjust to new inputs providing relevant and accurate answers to users’ queries.

For instance, Uber makes use of AI-powered bots to provide people with the ability to request a ride. JustEat, online food and delivery service, leverages artificial intelligence to create bots that are able to take orders and forward this information to the duty holders. 

Image Credit: ZX.YCN

2. Get Your Hands On User Data And Analytics

How well do you know your clients? Their tastes, habits, preferences, interests, what products they buy, and what they are dreaming about…

Of course, you can make general assumptions based on your target audience research. But instead of guessing, you can truly know the details. Artificial Intelligence aimed at analyzing people from cover to cover providing store owners with accurate and detailed information about their buying audience. Let’s delve into some of the things AI can do to grow turnovers. 

Personalized Product Selection

By collecting data and analyzing patterns, AI can shed light on customers’ interests, tastes, and preferences and, at the same time, get rid of batch and blast communications.

New Epsilon research shows 80% of the people surveyed are more likely to make a purchase if a brand serves a personalized experience. The “show everyone the same thing” approach receded into the historical distance – people feel frustrated when their shopping experience is impersonal. Artificial intelligence can change the situation for the better.

For example, in the category page grids, AI can rearrange items in such a way as to show a user those products that they may set sights on. It bases assumptions on the previously bought items and the things that the individual has browsed. 

You have probably seen a “You May Also Like” or “You Might Be Interested In” section when browsing certain online stores. These blocks are used by retailers to provide their customers with the personalized shopping experience, increase the average check size, and sell more products. Take a look at Alibaba, one of the world’s largest companies, which use AI-powered algorithms to advise goods to the customers.

Screenshot taken on the official Alibaba website

However, in order to implement and customize this section and benefit from artificial intelligence, you may need professional help from dedicated eCommerce developers specializing in e-commerce solutions.

3. Using AI to Show the Products That Compliment Each Other

As your inventory expands, it becomes challenging to pay careful attention to the products that sell well together. A piece of good news is that artificial intelligence can lend you a helping hand by keeping a close watch on the product assortment and automating these processes. As such, by having ultimate knowledge of customers’ interests and tastes, stores can offer the visitors not a single product but the best-selling combos to sell more. 

To make things clear, let’s have a look at the official Agent Provocateur website. The company selling premium lingerie and swimwear came out with the smart move: the items that complement each other are displayed in the “Wear With” section. This move affects impulsive buying, urging visitors to spend more money than they planned at the beginning. 

Screenshot taken on the official Agent Provocateur website

4. Virtual Try-Ons

When e-commerce and augmented reality play in the same team, this duo opens colossal opportunities for online sales. The technology makes it possible for shoppers to virtually check out a product before buying even if they can’t touch it in reality. All they have to do is to launch the camera of a mobile device or PC. Needless to say that implementing such a fitting room can skyrocket the user experience, making the store smart, interactive, and user-friendly. Besides, AR brings the following benefits for users:

  • The ability to feel in-store experience regardless of the location
  • Feel of something magical going on
  • Almost live interaction.

Such virtual try-ons have already been implemented by many brands, including such famous ones as GUCCI, Lancome, Adidas, Ralph Lauren, Uniqlo. 

Let’s see how this works. Ikea was one of the early adopters. This Swedish company selling furniture, kitchen appliances, and other stuff, leverages ARKit to allow shoppers to see how, say, an armchair will look within their room.

Image credit: Ikea official

It is obvious that many companies see beauty as a lucrative field for tech development. As such, Sephora, a famous makeup retailer, introduced a “Sephora Virtual Artist”. This feature scans a face, determines where lips, nose, or eyes are, and lets the customer try on various looks. Thus, the shopper can play with lip colors, try different false lash styles, and buy the products they like. Convenient!

Image credit: Sephora

5. Using AI for Image Recognition

Using AI for fast and efficient product searching is not something beyond the pale. Devices and software like Google Assistant, Siri, Alexa, Bixby, and Cortana are just a few examples of some awesome platforms that enable users to hail a cab, make orders, search products with just their voice.

Along with voice search, artificial intelligence provides users with the ability to find the product they are looking for by employing image recognition. As such, instead of typing text queries in a search bar, people may identify and find items through photos made with their cameras.

For instance, Amazon, a multinational company, has implemented StyleSnap, an image recognition system, on its mobile website. By using this feature, users can upload photos of different fashion looks and the AI-powered system will display the detected items along with their prices.

Screenshot taken on the official Amazon website

Summarizing

Artificial intelligence is contributing to the e-commerce industry in many ways. In order to stay afloat, business owners have to employ this technology and use it to its fullest. In the highly-competitive world, establishing strong relationships with customers, as well as understanding their necessities are essential for online retailers. AI along with machine learning help businesses make communication more personal and effective, increase brand awareness, and multiply sales.

About the Author

Alex Husar

Alex Husar, CTO at Onilab with 8+ years of experience in Magento and Salesforce development services. He graduated from the Czech Technical University and obtained a bachelor’s degree in Computer Software Engineering. Alex’s expertise includes both full-stack dev skills and a strong ability to provide project-critical guidance to the whole team.
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