Full‑Text Resume Search lets you search for keywords or phrases anywhere in the text of a candidate’s uploaded resume. This includes job titles, company names, skills, locations, and more—even if they’re not mapped to a specific profile field.

Profile‑Field Filters allow you to filter candidates based on structured data fields (e.g., “Current Company,” “Location,” “Skills”) that PyjamaHR extracts from resumes using its resume parser.

Use Full‑Text Resume Search when:

You want to find candidates based on any mention of a keyword, regardless of where it appears in the resume.

You’re searching for less common terms, project names, or company names that may not be mapped to profile fields.

You suspect the parser may have missed or misclassified information.

Use Profile‑Field Filters when:

You want precise, structured filtering (e.g., only candidates whose “Current Company” is “LCX”).

You need to combine multiple criteria (e.g., “Location: Singapore” AND “Skill: Python”).

You want to avoid false positives from resumes that mention a keyword in an unrelated context.

Both search methods are available in the Talent Pool and Job Applicant Database.

Boolean search (AND, OR, NOT) is available in full‑text search (currently in beta for some users).

Resume parsing quality directly impacts the effectiveness of profile‑field filters.

Using the right search method ensures you never miss qualified candidates due to formatting or parsing issues.

Efficient search saves recruiter time and improves hiring outcomes.

Access to the Talent Pool or Job Applicant Database in PyjamaHR.

Candidates must have resumes uploaded to the system.

You can use full‑text search and profile‑field filters together for more targeted results.

Example: Search for the keyword “Terraform Labs” and filter by “Location: Singapore.”

Boolean Search: Use AND, OR, NOT for complex queries (e.g., Binance AND Singapore NOT Junior).

Check Resume Formatting: If a candidate isn’t appearing in search, check if their resume is formatted correctly (PDF, readable text).

Cross-Check Results: If a candidate doesn’t appear in profile‑field filters, try a full‑text search to catch parser misses.

Regularly Update Resumes: Encourage candidates to upload well-formatted, text-based resumes for best parsing results.

Review Parsing Results: After uploading, check that key fields (company, skills, location) are correctly extracted.

Use Screenshots for Support: If you encounter issues, provide screenshots to support for faster troubleshooting.

Possible Cause: Resume not parsed correctly; keyword only present in resume text, not in profile fields.

Solution: Try full‑text search. If still missing, check resume formatting and re-upload if needed.

Possible Cause: Parser failed to extract the keyword into the relevant field.

Solution: Use full‑text search to confirm presence. If found, contact support with candidate details and a screenshot.

Possible Cause: Beta feature; syntax error; parser limitations.

Solution: Hover over the info icon for Boolean syntax help. If issues persist, contact support.

Possible Cause: Resume is an image or poorly formatted; parser cannot read content.

Solution: Request a text-based resume from the candidate and re-upload.

Possible Cause: Resume parser improvements are ongoing; some resumes may be parsed better than others.

Solution: Use both methods and report persistent issues to support.

What if a candidate appears in the resume but not in search?

Check resume format; try re-uploading; use both search methods.

What if Boolean search returns no results?

Check operator syntax; try simpler queries; report to support if issue persists.

If you’ve tried both search methods and still can’t find a candidate you know is in the system.

If you notice parsing errors or missing data in profile fields.

Always provide candidate name, job ID, and screenshots for faster resolution.

Resume Upload & Parsing: Ensure all resumes are text-based for optimal searchability.

Boolean Search (Beta): Advanced users can leverage Boolean operators for complex queries.

Talent Pool Management: Organize and tag candidates for easier future searches.

Reporting Issues: Use the in-app support chat with screenshots for the fastest resolution.