EVERYTHING BEGINS WITH
DATA

CheckErr can get data from your file system or through API call. Choose what suits you best. We always guard your files with the highest security standards.

VARIOUS FORMATS?
NO PROBLEM

PDFs ready for print are probably the most common types of documents that feed CheckErr. However, with the trend of switching to digital communication, companies use other media and file formats as well to deliver their message to the customers. May it be SMS, XML, HTML or image file formats, CheckErr handles all of them.

HISTORICAL DATA

CheckErr learns on a vast amount of historical data (such as pdfs or other docs) provided by your company. As it stands at the very end of the whole correspondence production cycle and works independently of any internal systems (such as CRM), CheckErr is the most reliable source of statistical data about your client correspondence.

AI DEEP IN THE HEART

Once CheckErr gets enough data for the learning stage,  artificial intelligence comes into play. We use machine learning algorithms to create models of your correspondence templates and variables occurring in your documents. Thus CheckErr gets as smart as a whip and easily identifies possible mistakes in your docs.

NO ERRORS FOUND

Your correspondence team works hard. Thanks to them, the vast majority of outgoing docs that CheckErr scans, is flawless.

ERROR ALERT

CheckErr marks potential faults and anomalies, and sends an alert to the app for a human operator to verify and correct that issue.

FRIENDLY
INTERFACE

We designed CheckErr with your employees in mind. The user interface is intuitive and easy to follow for anybody with basic computer skills. Each error found by CheckErr is highlighted and accompanied by background information so that the human reviewer can make the best decision about the document.

US CLOSER

Ask for a demo, or just ask about anything.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.

US CLOSER

Ask for a demo, or just ask about anything.