Basically, it is a technology used to read information from a resume or a CV. Current resume parsers use a number of AI neural networks and data science models to extract structured data.
The program delivers details about a candidate’s details (email, phone number and address etc.), work experience, education and skills. The technology is also used to automatically create a detailed candidate profile (Imagine uploading a resume to LinkedIn and automatically creating a profile, or editing a LinkedIn pdf into a great looking CV).
The extracted data can be used to create feature in ATS , HRMS covering aspects like candidate profile in a CRM, job screening, data de-duplication, work automations and to full database search at near real time automation.

High quality resume parsing technology delivers very accurate data and can be used to increase efficiency, automate systems, create resume extractor tool, Parse resume online and overall improve application experience.

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SuperParser API can parse resume of all format :
- Microsoft Word (all versions including DOCX)
- PDF
- Text (.txt)
- Rich Text (RTF)
- OpenOffice 2.+

SuperParser is an enterprise grade resume parsing API deployed in a number of Applicant Tracking Systems (ATS), internal recruitment teams, HR technology platforms and job boards – ranging from tiny start-ups all the way through to large enterprises.

SuperParser API will process documents in a matter of seconds.

SuperParser API is the result of 7 years of advanced research in AI and neural networks, which means We can deliver more accurate results with a fraction of the computational power. This allows us to pass on the benefits to our customers through economical pricing models