Resume parser is a tool that extracts relevant information from a resume and structures it in an understandable form that can be used to reduce manual resume screening.

Our resume parser uses the latest LLMs and chains them to robustly understand all kinds of information from different formats of resumes with the highest accuracy. Apart from this, our resume parser is the most cost-effective parser in the market.

Our resume parser can extract the profile information (eg. name, email, phone, location, etc.), educational qualifications, work experience, certifications, publications, skills, and many more. If you have requirements for extracting specific information from resumes, please let us know by emailing us at dm@vylabs.ai.

Our resume parser automates the job of manual screening across various different resume formats to a consistently structured human readable format that is quicker for recruiters to glance at. Furthermore, this structured data allows for indexed searches to find resumes relevant for jobs much faster and with higher precision.

Yes, our resume parser API outputs data in a structured JSON format and can be integrated into most mainstream ATS applications in the market. If you have questions about how to integrate the resume parser with your ATS, please let us know by emailing us at dm@vylabs.ai.

Yes, our resume parser can handle most complex and unstructured resumes and in different file types (PDF, DOC, DOCX, JPG).

Yes, our resume parser can handle upto 100 resumes at a time. If you have larger resume requirements, please let us know by emailing us at dm@vylabs.ai.

Our resume parser has been tested to be 96% accurate across different resume formats and file types.

It should take less than a minute to parse 1 to 100 resumes.

Yes, our resume parser can support different file formats (PDF, DOC, DOCX, JPG).