Next, add the files you intend to analyze to Rossum’s interface. Then, select an OCR model from pre-built configurations or your custom-built model. With Rossum’s powerful AI-based image extractor, you can configure the system to extract data from a wide variety of sources regardless of shape, size, or format - no preconfiguration required.įirst, you’ll want to log in to Rossum and create a new project. How to use Rossum’s powerful AI for extracting text from an imageĪnd more. Rossum converts unstructured data into structured information, which makes extracting text from an image file quick and accurate. Extracting that data efficiently requires a comprehensive software solution.Īn application for a smartphone or an online converter tool may work for extracting simple text from individual files but is not practical for large-scale operations.īusinesses seeking maximum efficiency need an AI-powered document processing platform like Rossum. Working with unstructured data is common for many businesses. While there is no method to convert pictures to text in Word alone, businesses can use tutorials and programs in conjunction with Word to achieve this conversion. When it comes to image text in Word online, you can upload the image file to a converter website and download the editable document. This tool is simple and easy to use, but its limited functionality makes it unsuitable for business use.Īnother option for extracting data from image files is converting them to Word documents before copying the data into the business system. A simple image-to-text app uses OCR technology to scan a document for text and convert it into a digital format. This is what OCR (Optical Character Recognition) technology is designed to do.Įxtracting text from image files is one of the many tasks OCR tools can perform with unstructured data. Unstructured data makes up over 80% of all enterprise data, so it is vital to have a process that can effectively manage it. The only other option is to rely on some kind of automation tool. PDF and image files are examples of that kind of format, and therefore, extraction can only occur with a visual method.īusinesses need employees to manually read and retype the data into a digital business system. Yet, data is often stored in unstructured formats such as PDF files or paper documents.Įssentially, these data formats are the opposite of structured data and are not based on predefined models, making them digitally unreadable. Because it is based on rules and models and can be digitally read by programs, this data can be extracted with a simple command or tool. This kind of data could be anything from a quantity, price, or date within a structured format such as an Excel spreadsheet. Structured data is the most detailed information to extract. A business’s process for data extraction must include a method for accurately capturing structured and unstructured data.
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