Read this article to know about AI Alternatives to Nanonets.
Artificial Intelligence consists of a combination of algorithms designed with the purpose of creating machines that mimic the functions of human beings (such as learning, reasoning, and decision making). Artificial Intelligence is the consequence of this process. It consists of a set of software that takes advantage of the output generated by these results to create a series of algorithms that make programs and mechanisms capable of showing intelligent behavior and reasoning as humans do, giving rise to multiple advantages for companies.
Its applications to the world of logistics have begun to be carried out with great success and, for the future, it is presumed to be a factor of exponential improvement. It will become increasingly accessible and suitable for managing supply chains and logistics processes. Access to data should benefit all departments and areas of the organization, which should also benefit from it. Having more functional, agile and useful integrated information systems is a differentiating factor for companies.
The supply chains that each company has, at a general and specific level, generate objective information about what is happening. If they are compiled and related with agility, it is possible to establish patterns and implement corrective measures or take advantage of opportunities. One of the keys is to have the ability to extract from this data, in real-time.
Optical Character Recognition (OCR) technology allows data to be extracted from images, which is key to these processes. This technology replaces data entry with automatic processes that allow data to be extracted quickly from all types of documents such as invoices, receipts, bills, delivery notes, identification cards, purchase orders, tax documents, bank statements, and real estate documents.
Why Is Optical Character Recognition Technology Changing Work Processes?
OCR technology is an AI-driven technology. From the analysis of images or visual documents, this API retrieves text that can be automatically entered into systems. It even has the alternative of transforming that data into Excel documents or programming language commands. They work integrated into platforms or websites and can process information with 95% accuracy. With their advanced engines, you can process large amounts of data without a problem.
OCR APIs automate processes, saving time and costs while facilitating processes and making the most of human intervention. Companies that have incorporated this technology have noticed a difference in a short period of time. There is a wide variety of APIs with this technology to choose from.
The Best Alternatives To Nanonets
Nanonets is a highly developed AI technology that provides multiple OCR solutions. This API has high performance, but the drawback is that different functions are divided into different APIs. Today we introduce to you 3 OCR API solutions that are popular in the market.
Optical Character Recognition API
This API works with machine learning engines that constantly improve its performance. Thanks to its unique categorization feature, this API fits information into millions of preset categories and allows you to customize your own. It can detect text and handwritten characters, which is particularly good for processing invoices and signed documents. This API is easy to use and integrate into any platform, works with most formats and programming languages, and only needs one URL to work.
Docsumo
This API can convert unstructured documents or data into accurate information. It works with all types of formats, something that companies value highly. A special feature is fraud detection from document analysis. For example, this can be important in the legal system, as it can verify the authenticity from validation checks.
Abby Flexcapture
This OCR API is capable of processing almost any type of document. It is particularly good for processing and sorting large files, and folders that have a large number of individual files. This API has a complex sorting system that distinguishes itself from other APIs.