Regardless of your business type, if you receive Accounts Payable or Invoices via PDF (or even by fax and snail mail), then you can save hours of time extracting the information on them. Eliminate manual input to your ERP platform, Excel, or whatever software you need that data in. How? Docparser comes with powerful invoice data extraction tools to automate your workflow.
Invoice Processing and Accounts Payable Automation with Docparser
Docparser comes with powerful data extraction filters which allow you to build a custom invoice parser in a couple of minutes. There are essentially two ways to utilize our PDF parsing software for your invoice processing needs:
- Extract header and meta data from PDF invoices with an unknown layout
- Extract detailed data from PDF having a known layout
In both cases, setting up Docparser is easy and you will be able to automate accounts payables in a couple of minutes.
Once your parsing engine is set up, you can import new invoices by uploading them through our app, send them as email attachments, use our API or let Docparser automatically fetch them from your cloud storage provider (Box, Dropbox, Google Drive, One Drive, ..). Thanks to our cloud integrations, sending your invoice data to your ERP system, or any other software, is a snap. Obviously, you can also download your PDF invoice data in good old Excel or CSV format.
Process invoices with unknown layouts
Docparser comes with powerful text extraction filters which can automatically identify and extract the invoice date, the invoice number, tax IDs and the totals (net, tax, shipping, total). If you need more data fields extracted, you can simply add more parsing rules to the mix.
Extract line-items from invoice with known layouts
Next to extracting invoice header data as shown above, Docparser also offer the possibility to extract line-items from invoices with a known layout. This is a popular use-case amongst our wholesale, retail and ecommerce customers which use Docparser to automate procurement processes. All you need to do is to create one document parser for each layout (trading partner / vendor) as shown in the screencast below.