Document parsers are amazing tools for automating data entry and speeding up business processes. If you are in the market for a document parser that can handle your data extraction needs, you may have heard of or even used Parseur. Granted, it’s a great no-code tool that many businesses use to parse their documents and emails. However, it’s not the perfect fit for every business — then again, no specific tool is.
If you have used Parseur and are considering switching to another data extraction tool, read this article to find out if this Parseur alternative is the right fit for you.
Why you might need to find a Parseur Alternative
Granted, Parseur is a solid tool for extracting data from business documents and sending it to your systems. That being said, there’s a chance you have run into some limitations, specifically:
- Creating reliable parsers: depending on the complexity of your documents, you may have to go through some trial and error or reach out to support to create reliably working parsers.
- A certain lack of documentation for advanced features: according to some users, there aren’t enough guides and tutorials to make the most out of Parseur’s capabilities. This means you might have to spend time learning the advanced features on your own.
- Differences in time zones: The company is based in Singapore, so if you are in North America or Europe, customer support may not be available at any time to address your requests.
If you have encountered any of these challenges, and you don’t want them to impact your overall productivity, consider trying Docparser, a Parseur alternative used by hundreds of businesses every day to extract data from documents reliably.
Why Use Docparser?
Docparser is a powerful no-code document parser with a wide range of features that can help you extract data accurately and streamline your document-based workflows.
Like with Parseur, you don’t need coding skills to build a document parser. Docparser also comes with a library of pre-set templates that make it easy for you to set a parser for a specific type of document. Moreover, you can use Docparser to extract text and tables from both digital and scanned documents through OCR, pattern recognition, and keyword anchoring.
Even if the layout of a document type (e.g. invoices) varies slightly from one file to another, the extraction results will still be accurate. Furthermore, both Docparser and Parseur have an API version and multiple integrations.
So Docparser shares a lot of features with Parseur. But there are also some key differences you should know about. Depending on your specific data extraction needs, you might find Docparser to be a more reliable Pareur alternative. Let’s go over these differences:
You can customize the extraction results thoroughly
Like Parseur, you can upload a sample document and outline each of the data fields you want to extract. But you also have access to some neat rule-based features that allow you to clean up and organize data exactly how you want. Once a data field is defined, you can add text or table filters to further refine the extraction results. For example, you can:
- Search and replace text
- Remove unneeded text or blank space
- Find email addresses, phone numbers, or even specific keywords — no matter where they are located
- Change the structure of a table
- Merge table rows or columns according to specific rules
- Remove line breaks
- Change the format of dates and numbers
- Change capitalization
- And a lot more
Beyond extracting data as it is in a document via a point-and-click system, Docparser gives you options to clean up and structure that data according to specific rules so that you don’t have to spend time editing it after its extraction. This way, you can build document parsers, for both basic and complex scenarios, that give you quick and accurate results.
Features unique to Docparser
In addition to rule-based parsing logic, Docparser has other features that are absent from Parseur, namely:
- Docparser can read barcodes and QR codes to extract information
- You can go back to a previous version of a parser any time
- Upload documents in image format (PNG, JPG, TIFF)
- Download extracted data as a file in XML format
- Etc.
While both tools work well for common use cases (like extracting text or table data from PDFs), Docparser can prove more effective in some particular scenarios. So be sure to review all your data extraction needs to determine the features that will make data extraction easier for you.
Training and support
As mentioned above, there are some Parseur users who could have benefited from a more comprehensive documentation. To be fair, one can always reach out to support for help. In fact, Parseur’s support team is often praised by its customers. However, the company is based in Singapore, so there could be a delay in response depending on your time zone.
Docparser, on the other hand, has a massive knowledge base full of articles on the basics of using Docparser, importing documents, setting up parsing rules, integrations, advanced features, add-ons, and a lot more. You can find answers for many questions on very specific topics.
Naturally, users can always ask a question directly via email, chat, or phone, and get a prompt reply. On top of that, you can request a dedicated assistant to help you get your parser up and running.
There are also webinars you can attend to learn more about how to use Docparser’s capabilities to the fullest. Furthermore, you can explore the blog section and read a lot of useful how-to guides.
What about emails?
Parseur can extract data from documents and emails. But what about Docparser?
Well, while Docparser can extract data from email attachments, it can’t extract data that is present in an email’s subject line and body. If you need to parse the emails contents other than attached documents, you should try Mailparser, the sister app to Docparser that focuses on email parsing.
In Conclusion
If you are looking for a Parseur alternative that is simple to use but allows you to thoroughly customize the data extraction results as needed, Docparser might just be the right fit. You don’t need to code anything; just upload a test document and start setting up your parsing rules. Then, add an integration to receive extracted data directly into your system. and Need a few pointers? Check Docparser’s documentation to learn how to use it on your own, or reach out to support anytime. Use the best document parser for your needs and boost your productivity by leaps and bounds.
