Database scanning software

Data is king, and databases are the hub of data. All business organizations have a database — whether SQL based or NoSQL based — that acts as a repository for all of their key business-related information. But how would you use this database if the data to be used in it is only available in form of paper documents? Getting the data out of scanned documents such as PDF , images, or typed invoices is difficult. Read on and find out! So, what do businesses do if relevant data is trapped in documents?

Manually extracting and re-keying data from documents is however not only time-consuming but also error-prone. One tiny error can lead to bigger miscalculations and wrong results in the database. Manual data entry does however not make any sense at all if you are dealing with the same type of documents every week and if your documents follow a certain layout structure think invoices or forms.

In this case, software like Docparser can automatically extract data from scanned documents and transfer to the database for you at a fraction of the costs. Docparser is a software solution that can extract individual data points or table data line items from documents, post-process the data so that it fits your needs, and provide you easy-to-handle structured data which can be imported into your SQL or NoSQL database.

First off, Docparser is not a traditional desktop scanning software as it does not connect to your scanner. Docparser is a software that comes into play once your document was scanned, either by you or by someone else in your company. What we specialize in is getting data out of documents and make sure that the extracted data is available where you need it.

Docparser helps you in capturing data from PDFs , such as bank statements, invoices, images, and other scanned documents. Docparser was built for the modern cloud stack and comes with various cloud integrations that can help you fetching your documents and moving your parsed data to where it belongs. Below is a step-by-step guide of how Docparser extracts data and converts it into database records or tables. Here is a quick animation that shows our easy-to-use parsing rule editor.

Creating parsing rules usually only takes a couple of minutes and you only need to create them once for each type of document you want to process. Once your parsing rules are created, the following documents are automatically processed accordingly and all data extraction is fully automated.

You have the data extracted from the documents. And you need it to be sent to the database. This is how you do it with Docpraser. There are three ways of doing it. Docparser does currently not provide a direct database integration and you are free to choose any of the three options described above. That being said, there is no limitation regarding the database system you are using.

Docparser is capable of extracting simple data fields, as well as table data from your documents. We strive hard to give you the maximum OCR accuracy. Select single or network to scan for single or multiple systems. Note that only 'class C' network range is supported. It will scan and display the status as well as results in the list box as shown in the screenshot below.

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