Organizations are devoting more resources to deploying intelligent document processing, particularly as they embark on digital transformations. As Deloitte explains, intelligent document processing automates the processing of data contained in documents -- understanding what the document is about, what information it contains, extracting that information, and sending it to the right place. According to Everest Group, the global market for intelligent document processing was worth between $700 million and $750 million in 2020. Leveraging a blend of AI, including computer vision and natural language processing, intelligent document processing can help to automate tasks like invoice processing, insurance claims, patient records, proof of delivery, and order forms. A range of startups offer these types of services, including Mindee, Zuva, Rossum, PandaDoc, and Anvil.

OCR software have been critical to businesses looking to grow quickly by leveraging digital workflows & automated processes. OCR software automate data capture from scanned documents/images and digitize the data in convenient, editable formats that fit into organizational workflows. Scanning & processing documents such as invoices, receipts, and images for valuable data has traditionally been a manual process fraught with errors and delays. OCR software solutions help businesses save time and resources that would otherwise be spent on data entry & manual validation/verification. Modern OCR software are fast, accurate and can handle common document processing constraints such as poorly formatted scans, handwritten documents, low quality images/scans, and blemishes that would have traditionally required extended manual interventions. More and more organizations are automating document processing workflows to go paperless and leverage cloud-based digital solutions that improve bottom lines.

Find out how data entry automation can help your business optimize workflows. Eliminate bottlenecks created by manual data entry processes. Click below to learn more about Nanonets PDF scraper. Data entry is the process of extracting and entering relevant information in a computerized system or ERP software. This is an essential process in businesses that seek to reorganize data into convenient formats for additional downstream processing.

If your images deal with invoices, receipts, passports or driver's licenses, check out Nanonets pre-trained image to text extractors for free. Just select the appropriate extractor, upload the images, extract & export the text. Extracting text from an image can be a cumbersome process. Most people just retype the text or data from the image; but this is both time-consuming and inefficient when you have a lot of images to deal with. Image to text converters, often in-built as a sub-feature in image/document processing programs, offer a neat way to extract text from images.

Do you want to learn about one of the secrets of building a successful business? It's not something that requires a huge amount of investment or work. In fact, it's so simple that it's often overlooked. Okay, let's spill the beans, it's "automation". Read on to know more about how your company can use document parsing to automate your business workflows. Document parsing is a term that involves examining the data present in a document and extracting useful information from it.

PO Matching is the process of connecting a purchase order (PO) issued by a client indicating types, quantities, and agreed prices for products/services to the invoice issued by a vendor for it's delivery. The goal of PO matching is to ensure timely vendor payments, correct accounting of costs and easy detection of fraudulent practices. PO matching involves several steps, including the receipt of invoice, capture of data, verification with purchase order, matching the parameters, and resolution based on various parameters. Invoice processing and PO matching are complex, time-consuming, and resource-intensive processes when performed manually, especially in scaled-up business activities. Even in departments where there is digitization of information in the form of Enterprise Resource Planning (ERP) applications, a significant amount of human labour is required; from the time an invoice is raised or received to its entry into the ERP application, accounts payable personnel perform a seemingly endless list of chores.

Artificial Intelligence is turning out to be a game changer, with countless applications in nearly every domain. It is now making its way into the area of Production and Manufacturing, allowing it to harness the power of deep learning and in doing so, providing automation that is faster, cheaper and more superior. This article aims to give a brief understanding of automated visual assessment and how a deep learning approach can save significant time and effort. It involves the analysis of products on the production line for the purpose of quality control. Visual inspection can also be used for internal and external assessment of the various equipment in a production facility such as storage tanks, pressure vessels, piping, and other equipment.

This article will take you through what digital transformations are, what drives it, how to aid successful digital transformations, how AI and deep learning can help, the challenges you might face in implementation and how to work around them. We will also talk about what the current pace of technological growth means for the future of work and what we can do about the paranoia that goes along with increasing automation. While talking about singularity or Skynet taking over is not the point of this blog, it would be a little apathetic to not acknowledge the risks that come with acceleration in technological advancement. Have a data extraction problem in mind? Head over to Nanonets and start building models for free!

If you have a relative working in the banking industry, ask the person what annoys him/her most about the job. You will surely receive an answer that is related to the task of data entry i.e. the practice of manually entering serial numbers and names from financial documents into the bank's database. It might interest your relative to know that the entire process of data entry can be automated. HOW! he or she might ask. Nanonets supports data extraction from all major financial documents.

This article will take you through how these companies can automate several procedures like menu digitization or invoice processing that are traditionally done manually to save time and operational costs. We have all had moments when we suddenly crave a good dessert. Getting that big tub of ice-cream after a long day at work would've been an inconvenience a few years ago. But food delivery apps can get it to you at a lightning fast speed. With companies like DoorDash, DeliveryHero, GrubHub, FoodPanda, Swiggy, Zomato and Uber Eats competing for a greater market share in the food delivery market, adopting technology that aids companies to scale up their operations has become a necessity to stay relevant.