AI Text Detection Software is a great tool for extracting text from images and documents. It combines machine learning with optical character recognition technology to provide a range of features that can help you transform data into searchable text.
Optical character recognition is an early form of AI that allows computer systems to recognize individual letters and numbers in images. Today, it is used to convert pictures and video into structured text that can be read by computers.
This is often used in business applications where it is needed to identify important information or messages from documents, such as a sign in an image or the title of a video. OCR also helps to convert scanned text into machine-readable formats.
It is a key element of many security solutions, and it is a vital part of any document management system. In addition, AI-powered OCR systems can reduce the cost of handling documents by reducing errors and increasing conversion accuracy.
There are several options for AI-powered OCR systems, ranging from open source engines to commercial services. However, the best choice depends on your needs and budget.
Nanonets offers a wide range of AI text extraction and character recognition tools to meet your specific requirements. These include the ability to handle common data constraints that other OCR products cannot, such as handwritten or low-resolution text, images with varying fonts, new or cursive text, textured or uneven surfaces, shadowy text, tilted text and more.
Improved efficiency and speed – Using AI-powered text detection, businesses can easily process their documents to retrieve relevant information. This also cuts down on administrative costs and helps to streamline processes.
Faster analysis of unstructured data – Combined with deep learning, machine learning improves the speed of text detection by allowing it to learn from previous interactions. The system is capable of analyzing large volumes of unstructured data and converting it to structured text in real time.
Reduces errors and increase accuracy – AI-based character recognition eliminates human errors by providing more accurate results. Moreover, it helps to improve the quality of the extracted data.
Ensures seamless data extraction from different document types and surfaces – This ensures that the system handles diverse forms, documents, receipts, business cards, posters and letters with ease. It also helps to convert scanned images of documents into structured data, and translates text into other formats such as a PDF or Microsoft Word file.
Converts text to machine-readable format – AI-based OCR technologies have the capability to convert text into machine-readable format without human intervention, and can be integrated with other AI solutions such as speech recognition. This means that AI-powered OCR can be used to automate a variety of processes, such as converting scanned documents into searchable files or identifying keywords in images and videos.
It can also be used to analyze a document and determine the number of words, digits and sentences it contains. This can be especially useful when you need to send information about a product or service to customers via email.