Keep in mind that Docparser has no requirements on database vendors and the presented method is also applicable for databases such as Postgres and NoSQL databases such as MongoDB. Each different type of document processed requires its own parsing rule. If you have 2 vendors using the same template for invoices, you can use the same parser for both. Clients often use a separate parser for each vendor for clarity. For this option, you use Docparser to convert the PDF data to a CSV file which you can import via the admin interface of your database.
For example, most admin interfaces for MySQL come with an upload function that you can use. All you need to do is to build a document parser for each document type you want to extract data from.
As soon as Docparser processes the incoming file, data posts to the integration platform you have identified for that parser. The information loads to your MySQL database through the integration partner of your choice which can be Zapier , Microsoft Flow , or Workato at the moment of writing. Each of the data integration platforms mentioned above comes with its own specialty. Zapier for example is a great fit for small and medium-sized companies, while Workato is more targeted to enterprise customers.
You can find more information on each platform on the pages linked above or in our support area once you created your free account. Our API comes with a variety of functionalities including:. Instead of polling our data for parsed data, you can also leverage our Advanced Webhook feature.
The advantage of using webhooks is that parsed data gets sent in real-time to your custom script. Once a new document is parsed, it then sets off a trigger, eliminating polling activity and providing data to the database. This is usually complete within 1 to 3 minutes of document submission.
From there, your MySQL database table populates immediately, by a timer or based on data volume levels. If you wish to manipulate your data further after processing, you could send the parsed data to an advanced integration platform like Paragon which could run custom code you write, then place the data in your database.
Some clients start with one method and build their next iteration to a different method. This is a good way to expedite your data capture while leveraging available tools and testing your process. These are the different ways to convert a PDF to database records and Docparser can help simplify this process. The Docparser team is always here to help you get up and running as quickly as possible.
Quit re-entering your data! Sign up for a free account today and see how much easier your workday can be with Docparser. Hello, I have been testing doc parser. When defining the area for a table, will the area automatically adjust from pdf to pdf when the number of rows in the table varies?
Hi Edwin, great question! When using our area selection tool, you need to draw a rectangle big enough, so that the longest possible table would fit in. Hope that helps! Your email address will not be published. Save my name, email, and website in this browser for the next time I comment. Manufacturing Menu.
Get Started. Set up parsing rules and import your files for each type of document you want to bring in. This step is required no matter where data goes after capture. You will need Docparser to get the data out of the PDF and ready for your database. Determine which method you will use to move PDF data to the database of your choice: Download parsed data in CSV file format and manually import to your database admin interface Use one of our partner integration platforms to move the data from Docparser to your database.
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