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Frequently Asked Questions

Credits, billing, sharing and saving reports, how scoring works, privacy, and supported resume formats.

What does SwiftLynx do?

SwiftLynx matches resumes to your job description using multi-layer AI analysis. Upload PDFs, Word docs, or TXT resumes — get ranked candidates with match scores, trust checks, evidence-backed insights, and one-click PDF reports.

Do I need an account?

Yes. Sign in to run analysis, save results, share links, download PDF reports, and purchase credits.

What can I do when signed in?

When signed in, analyses are saved, you can share links, download PDFs, and manage credits and invoices.

How do credits work?

Credits are pay-as-you-go. 1 credit = 1 resume analysis for each uploaded resume against the current job description.

Do credits expire? Is there a subscription?

No subscription. Credits never expire and can be used anytime.

Where can I see invoices or update my card?

Go to Account → Invoices to download PDFs. Use Manage billing to open the Stripe portal and update your payment method.

I paid but credits didn’t show up. What should I do?

Credits usually appear within seconds. If not, refresh the Account page. Still missing? Contact us with your email and the invoice number—we’ll fix it quickly.

Are results saved automatically?

When you’re signed in, each analysis is automatically saved under Saved reports.

How can I share analysis results with my team or clients?

Two ways: 1) Share analysis links for online viewing (recipients see results instantly without logging in), or 2) Download PDF reports to email or attach to messages. Both work great for teams and clients.

Can I download PDF reports to email or print?

Yes. Click "Download PDF" to get a clean, professional report perfect for emailing to clients or printing for meetings.

Does SwiftLynx provide resume–job match visualizations?

Yes. Each candidate gets a requirement checklist (met with strong or weak evidence, not met, or unclear for every must-have and preferred requirement), a score broken down into requirements, responsibility level, domain fit and risks, evidence-backed strengths, concerns and risks, and interview preparation points. Export the report as PDF, Word or CSV.

Can I compare many resumes to one job posting?

Absolutely. Upload multiple resume files, then review side-by-side scores and visuals to shortlist quickly.

How does the scoring system work?

First the requirement check: SwiftLynx reads the must-have and preferred requirements from your job description (you can edit them) and checks every resume against each one, noting whether the evidence is strong or weak. A candidate who misses a must-have is listed under "Does not meet requirements" with the gap named and is not ranked. Everyone else gets a full review of the resume, and the score is computed from it out of 100: must-have evidence strength (30), preferred requirements in your priority order (20), responsibility level and scope versus the role (25), domain fit (15), and risks such as timeline gaps, inflated titles, unverifiable numbers or relocation (10). Every number is shown in the score breakdown. A separate rules-based trust check flags inconsistent resumes; it caps the recommendation but is not part of the score.

Why do some candidates get a shorter analysis than others?

Candidates who miss a must-have requirement get a brief note that names the gap instead of a full review; they are listed separately and not ranked, so there is no reason to spend a full review on them. Everyone who clears the must-haves gets the full review: strengths with quotes, risks, responsibility level, domain fit and interview points.

What does the Evidence button next to strengths and concerns mean?

It means that line is backed by an excerpt from the resume. Click or tap Evidence to see the exact quote and source section so you can verify the analysis against the resume.

What does 'Verify in Interview' mean?

For candidates who advance, SwiftLynx generates 2–3 specific interview talking points based on areas the analysis couldn't fully confirm from the resume. These are ready-made questions to help interviewers dig into the right topics.

What happens when a candidate scores very low?

Candidates who miss a must-have requirement are listed separately under "Does not meet requirements" with the gap named, so the ranked list only contains people who clear the bar you set. Ranked candidates whose score is below 60 are marked "No" with the reasons shown.

Can I adjust the scoring weights or thresholds?

Yes, through the requirement chips under the job description. Move a chip between must-have and preferred to change whether it gates the ranking or only counts towards the score, and order each group by priority: the first one counts most. Reordering and moving chips re-scores instantly with no new analysis; editing a chip's text or adding one re-checks every stored resume against it. If a job has no must-have requirements, everyone is ranked and nobody is filtered out.

Matching looks off—how can I improve results?

Use a clear, detailed job description — the more specific your requirements, the better the match. Fill in the "Must Have" field for non-negotiable skills (candidates missing these are penalized more heavily). Remove watermarks or headers from PDFs if parsing fails. If an issue persists, contact us with the file (sanitized) and we'll take a look.

Is my data secure?

Your data security is a priority. We never sell, share, or use your files for AI model training. Analysis results and supporting evidence excerpts are stored securely so you can revisit and collaborate. Resume files are processed for analysis and are not retained beyond what's needed for your saved reports. See our Privacy Policy for full details.

What formats are supported?

We support PDF, Word documents (DOCX/DOC), and plain-text (.txt).