If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
TL;DR: A lifetime subscription to TextSniper for Mac is on sale for £2.87 as of May 7, saving you 42% on list price. TextSniper is a Mac app that lets you extract text from sources like images, YouTube videos, PDFs, screenshots, or presentations. Thanks to advanced OCR (optical character recognition) technology, TextSniper can scan and recognise the text within any digital image, video, or document. It will then copy it, allowing you to paste the text directly into an editable format, like a note, text, or even Google Doc. It can also turn recognized text into speech, in case there's a word or phrase you need to be pronounced, and scan barcodes and QR codes and turn them into text. SEE ALSO: Want to unblock American Netflix from the UK? Try this speedy VPN.
If you've ever gone through the painstaking process of transcribing text from a video, or begrudgingly typing up the copy from an image, you know the struggle. Not only is this a tedious activity, also it's prone to human error and a total time waster, to boot. Leave the manual work behind and join the thousands of Mac users who simplify their workflows with TextSniper, on sale now for just $4. TextSniper's optical character recognition (OCR) software works fast to detect any text from your screen, whether that's screenshots, images, videos, PDFs or digital documents. Instead of pouring over, say, a video, you'll be able to instantly convert that speech into text. Then, you're a simple copy-and-paste away from dropping the content into your notes, messaging app and anywhere else you please.
Research firm Gartner estimates the market for hyperautomation-enabling technologies will reach $596 billion in 2022, up nearly 24% from the $481.6 billion in 2020. Gartner is expecting significant growth for technology that enables organizations to rapidly identify, vet, and automate as many processes as possible and says it will become a "condition of survival" for enterprises. Hyperautomation-enabling technologies include robotic process automation (RPA), low-code application platforms (LCAP), AI, and virtual assistants. As organizations look for ways to automate the digitization and structuring of data and content, technologies that automate content ingestion, such as signature verification tools, optical character recognition, document ingestion, conversational AI, and natural language technology (NLT), will be in high demand. For example, these tools could be used to automate the process of digitizing and sorting paper records.
Google Cloud's machine learning-powered Document AI platform -- which already has been used to process tens of billions of pages of documents for government agencies and the lending and insurance industries among others -- became generally available last week, along with Lending DocAI and Procurement DocAI. The serverless Document AI platform is a unified console for document processing that allows users to quickly access Google Cloud's form, table and invoice parsers, tools and offerings -- including Procurement DocAI and Lending DocAI -- with a unified API. It uses artificial intelligence/machine learning (AI/ML) to classify, extract and enrich data from scanned and digital documents at scale, including structured data from unstructured documents, making it easier to understand and analyze. Doc AI solutions feature Google technologies including computer vision, optical character recognition and natural language processing, which create pre-trained models for high-value and -volume documents, and Google Knowledge Graph to validate and enhance fields in documents. Research and advisory firm Gartner predicts AI will be the top category that determines IT infrastructure decisions by 2025, driving a tenfold growth in compute requirements. Half of all enterprises will have AI orchestration platforms by 2025 to operationalize AI, according to Gartner, up from less than 10 percent in 2020.
Traditional document processing units required staff members to manually read and key in relevant information from purchase orders, quotes, invoices, remittances and other documents – every day, year after year. This process lowers both staff morale and productivity, and often leads to unwanted errors and increased costs. Intelligent document processing (IDP) is a next-generation approach that uses automation to quickly extract information from business documents. Here are 10 things you need to know about IDP and how it can enable end-to-end process automation for your organization. The first wave of IDP was driven by template-based optical character recognition (OCR) technology.
We live in a world where robots are increasingly common. There are chatbots on the company websites and machines that build cars and other equipment by themselves. More and more are the tasks that these agents can perform, and OCR is one of them. This article tells you what OCR is, its applications, and how your company's chatbots can use it. OCR stands for Optical Character Recognition.
TL;DR: Pull text from videos, images, and more with TextSniper for Mac, on sale for 42% off. As of April 26, get a lifetime subscription for only $3.99. TextSniper is a Mac app that lets you extract text from sources like images, YouTube videos, PDFs, screenshots, or presentations. Thanks to advanced OCR (optical character recognition) technology, TextSniper can scan and recognize the text within any digital image, video, or document. It will then copy it, allowing you to paste the text directly into an editable format, like a note, text, or even Google Doc.
Google's Area 120 – an in-house incubator, where Google engineers pursue their pet projects that sometimes turn into actual products – has launched a document scanner called Stack, and it may just be one of the best such apps out there. Like most document scanners, Stack uses your phone's camera to create a scan of a document, such as a receipt, bill, or a banking statement. However, the app also reads some of the key data from your document – such as the total amount on a bill, for example – and then organizes your scanned documents into folders. These folders, called "Stacks," are labeled as various categories, such as receipts, bills, vehicle, house, IDs, etc. You can also mark a document as starred, which will put it into a separate Stack.
Note: For those of you who prefer watching videos, please feel free to play the above video on the same content. While speech synthesis has come a long way since Kratzenstein's vowel organ that could produce the five vowel sounds, it is a whole'nother level of challenge to transform text to natural-sounding speech. Recent developments in deep learning have provided us a new approach to the challenge and in this article, we shall briefly introduce a mainstream text-to-speech method before the deep learning era, then explore models like WaveNet that Google's text-to-speech API service is now using for lifelike speech synthesis. If you pause and think for a moment about how you can perform text-to-speech, you would probably formulate a method that is very similar to the concatenative approach. In concatenative text-to-speech, texts are broken down into smaller units such as phonemes, and the corresponding recordings of the units are then combined to form a complete speech.
The approach of tax time for the majority of Americans brings with it one of the more excruciating aspects of this special season: the need to organize your records. And for now, this ritual continues to involve lots and lots of....paper. Over the years, I've found that using a scanner is an essential element to managing my small professional business. Having my records online (and, in particular, in the cloud) has been valuable. Be sure you have the right tool to navigate this annual chore. We pick the very best software.