![]() ![]() Start by signing up for a Docparser free trial. You can do it by yourself in just a few minutes. You don’t have to write code or install anything on your computer. How to Create Your Text Extractor with DocparserĬreating a text extractor tailored to your needs is not difficult at all. So beyond just extracting text, Docparser lets you export it to your database, whether it’s located in a spreadsheet or a cloud software. You can also connect your Docparser account to a third-party app like Zapier, allowing for thousands of integrations with cloud apps. Specifically, Docparser allows you to download parsed data to Excel, CSV, JSON, and XML formats. Last but not least is the freedom to move data from one format to another and even from its source to a cloud app that you use. Export extracted text to different formats and cloud apps Inputting incorrect information creates all sorts of scenarios you are better off without: spending hours to find and fix errors, apologizing to a customer because you miswrote their information, failing to forecast demand accurately… These recurrent mistakes can snowball to greatly affect your bottom line. Eliminate human errorĪn inevitable issue that comes with manual data entry is human error. Try to guess how much money they have been able to save over time since they started using Docparser. In fact, one of our users is able to save 50 hours of work per month. This also relieves you from much of the stress caused by manual data entry. Īutomating the process of capturing data means you have more time for high-value and creative tasks that move the needle for your business. NB: If you receive recurring documents by way of emails, we suggest you try our dedicated email parsing tool: Mailparser. This is a game-changer when you receive large numbers of documents regularly. Perhaps the biggest advantage of using Docparser as your text extractor is that you can extract text from multiple documents simultaneously instead of relying on a tool that can only extract text from one document at a time. You get structured data that is searchable and ready for use.Īdditionally, extracting data from digital documents is even easier for Docparser. Here is what you can do with Docparser: Extract text from scanned images and documentsĭocparser has an OCR engine that can extract text from scanned PDFs and images in JPG, PNG, and TIFF format. But it might have the most impact on your productivity. The good news is that you can leverage technologies like Optical Character Recognition, or to convert documents into machine-readable text.ĭocparser, in particular, combines advanced Zonal OCR, advanced pattern recognition, and anchor keywords to accurately extract text from documents, whether they are digital or scanned.ĭocparser is certainly not the only text extracting tool you can find online. Not only does this lead to lost time, money, and productivity, but on top of that, it damages decision-making, customer satisfaction, and more. ![]() So it’s pretty clear that text which was manually inputted or poorly extracted tends to have errors or omissions. “44% of respondents estimate their company loses over 10% in annual revenue due to poor quality CRM data.” Speaking of data quality, according to the 2022 State of CRM Data Health Report by Validity, study respondents confirmed they were losing money due to inaccurate data: And even then, you might make data entry mistakes, which hurts your data quality. You can use tools like Google’s OCR feature to extract text, however the result may not be entirely accurate, in which case you’ll have to spend extra time editing and proofreading the extracted text. So it’s not enough to be able to extract text you need a tool that lets you quickly send the data wherever you need it to go. You might use an image-to-text extractor and get a decent result, but then you have to spend time copying-pasting text into your database. Copying and pasting takes a lot of time.You can’t copy text from image files, and scanned PDF files. You can’t search for specific content in scanned PDFs and images unless you extract it. Let’s go over common issues you might encounter when trying to extract the content you need: So extracting text becomes a necessary task, though not without its challenges. However, you still need to get important data into your database. While businesses worldwide are going digital en masse, people still write information by hand and sign documents, so scanned documents are not going anywhere in the foreseeable future. Paper documents are still ubiquitous in every organization, from contracts to invoices and tax records to mention a few. ![]()
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