DaXtra Parser vs. Rchilli

The high volume of resume intake and a need to reduce parsing manpower. Great for basic information such as contact information and to create records in ATS.

Incentivized

This is a great tool if you need to imbed the functionality (as we have done). Perhaps not a well suited to standalone use.

• Move basic information into Bullhorn
• Integrate with email

Incentivized

• Parsing of Candidate Resumes with good accuracy
• Around 70 to 80 different Candidate Fields
• Supports Individual, Bulk Online and Offline Parsing

• The information the parses
• Ability to carry over and read information to complete fields in Bullhorn

Incentivized

• So far, we have nothing to complain about.

Responsive and able to resolve issues quickly.

Incentivized

We recently evaluated Azure Cognitive AI Services. It was not economical and we were asked to partner with another partner of Microsoft for specific Resume Parsing Services. Looking at the cost benefits, efficiency of parsing and ease of use of RChilli, we decided to continue with our very good partner RChilli

• Helped decrease parse time of resume applications from email
• Ease to create ATS records of candidates from job boards

Incentivized

• Using Rchilli saved us thousands of dollars in development costs and avoided on-going maintenance.
• Using their taxonomy's means we don't have to maintain our own, saving us time and subscription costs.