|Available for||Roles||Super Admin, Admin, Team Member, Limited Team Member|
|Permissions||• Manage profiles and view associated postings|
|Packages||Lever Basic, LeverTRM, LeverTRM for Enterprise|
Resume parsing helps streamline and simplify the collection of candidate information. Lever’s resume parser will add information from the resume to the candidate's profile including their name, organization, and contact details. For full details on managing candidate files, refer to our help article on adding and deleting resumes.
How resume parsing works
When a resume is parsed, readable information from the resume is automatically pulled into corresponding fields on the candidate profile (e.g. name, work history, contact information). In the image below, you can see how fields on the candidate profile are auto-populated based on the content of the uploaded resume.
Accepted file types
Lever is able to parse the following file types:
- Microsoft Word (including .docx)
- Adobe PDF
- Rich Text (RTF)
- Corel WordPerfect
- MS Office HTML
- Open Office (ODF)
Lever cannot parse information from image files (like JPG or PNG). A simple test to gauge if a file's content is parseable is to try highlight text in the document with your cursor. If you cannot highlight text, the document is likely not parseable. For scanned documents, we suggest downloading a program like Adobe Acrobat or using Google Drive to convert them into one of the file types above.
Troubleshooting resume parsing
If an uploaded resume fails to parse correctly, it may be due to one of the following factors:
- The resume was imported via email or the Lever Chrome extension
- The resume was attached to a candidate that was added to Lever via API
If resume parsing is not working, you can manually add information by typing it into the fields on a candidate's profile.