Why Over 75% of Resumes Are Rejected by Automated ATS Parsers
When you submit an application to companies using Workday, Taleo, Greenhouse, or Lever, human recruiters rarely view the visually designed PDF first. Instead, automated parsing algorithms convert the document into a structured plain text stream to match keyword requirements.
Design elements created in modern graphics platforms (such as two-column resume templates, floating text boxes, progress skill bars, and icon graphics) frequently cause parser crashes. When multi-column tables are extracted, job titles from column one blend with company names from column two, turning work histories into an unintelligible mess that scores zero on algorithmic match systems.
DocSnap extracts the underlying text operators in exact chronological sequence. You can inspect exactly what the hiring algorithms see before submitting your application.
Frequently Asked Questions
How does an Applicant Tracking System (ATS) read my resume PDF?
An ATS strips out all graphical design elements, colors, tables, and multi-column formatting, extracting only the raw sequential plain text stream. If your resume is saved as a flattened image or uses complex design columns, the text stream scrambles, resulting in automated rejection.
Is my resume or contact information uploaded or stored on your servers?
Never. All text extraction and algorithmic parsing execute 100% locally inside your client browser RAM via WebAssembly. Your personal contact info, work history, and salary details never touch an external server.