For those unfamiliar with Parseur, we offer an email parsing and PDF parsing tool to extract data from emails in any format, with or without attachments. Parseur is classified as a robotic automation tool that helps businesses automate their data entry processes.
Parseur has many unique data extraction features that will save you countless hours of manual data entry. One of these is: Unlimited Templates!
What is a Parsing Template?
Compared to other email parsing tools that require you to create individual extraction rules for each data point, data in Parseur is extracted using templates. A parsing template is a visual representation of your document where you highlight the data to be extracted. Because they are visual representations of the data to extract, templates are usually easier to manage in the long run.
Unlimited Template Support with Parseur
After sending your first document to your Parseur mailbox, you will create a template. You visually teach Parseur what specific information needs to be extracted from your emails.
Once you save the template, the data will be extracted from the original document and all similar ones.
But what if you have other documents from which you want to extract similar data, but have a different layout? For example, similar emails but issued by another company. Simply create another template, and you're done! There's no need to create separate mailboxes for each document with a different layout. Nor do you need to create routing rules to teach Parseur which template to apply to which document. When there are multiple templates in a mailbox, Parseur automatically chooses the right one each time a new document arrives. Similar documents will be processed instantly!
This is the magic of Parseur: our "secret ingredient," allowing you to quickly create all the templates you need for your document layouts! This is what makes Parseur a powerful template parseur.
So, how does Parseur effectively choose the right template? Through Machine Learning!
What is Machine Learning?
Machine Learning (or ML) is the process of using computer algorithms to process data and automate business processes without being explicitly programmed. Machine learning models can be used in various fields like, for instance, document parsing and data extraction.
Parseur and Machine Learning
Parseur uses Machine Learning to automatically select the right template, every time. When you create a new template, you teach Parseur how to extract the data, and the machine becomes smarter as you create more templates.
Even if you need to parse data from email attachments like PDFs or MS Word, you only need to highlight the information and create data fields for them. And, the next time you send another document, it will be processed automatically.
You can think of it as a learning model tool that will automate data extraction more effectively over time. It helps achieve accurate parsed email data! Learn more about how Parseur selects the correct parsing template.
Taking it a Step Further: Template-less Parsing
Parseur's unlimited template functionality, powered by Machine Learning, opens up vast possibilities, such as parsing without having to create any templates at all! In fact, Parseur comes with a built-in library of templates to automatically parse documents from different industries such as Real Estate, Food Ordering, Job Search, Google Alert, among others. Parseur automatically selects the correct template that matches each email received in the mailbox and processes each accordingly.
To take advantage of our zero-template feature, select the type of documents you want to parse when creating the mailbox.
All you have to do is send documents to your Parseur mailbox. If Parseur has already seen that document, the data extraction process will happen automatically!
You can also check out our use cases section to see how Parseur performs across different industries to deliver impeccable results!
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