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How to Pass Ashby
ATS Parsers

Avoid formatting errors that trigger auto-rejections. Optimize margins, section tags, and key technical variations for Ashby.

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How Ashby Parsing Works

The Ashby engine parses resumes by converting them to linear plain text. Keep sections standard to prevent parsing errors.

⚠️ Critical Rejection Rules

  • Ensure text in PDFs is fully copyable.
  • Avoid tables, sidebars, or floating elements.

✓ Layout Optimization Tips

  • Keep layouts simple and avoid graphical elements.
  • Use standard section headers.

Common Formatting Rejections

Rejection #1: Layout uses double columns, scrambling experience dates.

Ensure clean single-column spacing without nested objects.

Rejection #2: Resume is saved as an image rather than text.

Ensure clean single-column spacing without nested objects.

ATS-Compliant Resume Template

Use this raw linear text layout pattern to build a highly indexable CV:

[NAME] [Email] EXPERIENCE - Handled [Feature] in [Tool], boosting retention by [X]%.

🚀 ATS Checker

Upload your resume and paste the target job description requirements to verify compatibility scores for Ashby.

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Frequently Asked Questions

Does Ashby filter resumes automatically?

No. Recruiters use database filters to search candidates by target skills.

How do I format my resume to pass Ashby parsing?

Keep formatting strictly linear and text-based. Use standard font families (like Arial or Calibri), utilize standard section headings (such as 'Work Experience' and 'Education'), and avoid headers, footers, tables, or floating text boxes.

Will Ashby reject my resume if it is a PDF?

No. Ashby supports PDF files, provided they are text-based and copyable. However, if your PDF is exported as a flat image, the parser will not read any text, resulting in a blank profile. Word (.docx) format is also highly compatible.

How does keyword matching work inside Ashby?

Recruiters search the candidate database using boolean strings (e.g., 'React AND TypeScript'). The ATS scans the parsed text of your resume for exact keyword matches. Higher frequency and natural contextual placement of these keywords help you rank higher.