How PDF Parsing Failures May Be Silently Killing Your Job Applications

Many job seekers receive few responses despite sending dozens of applications, and a key reason may be how Applicant Tracking Systems (ATS) parse resume PDFs before any human reviews them. When a PDF lacks a proper text layer — common with image-based exports from tools like Canva — ATS software receives no readable content at all. Other issues include garbled text from ligature-encoding problems in decorative fonts, and scrambled reading order caused by two-column resume layouts. Developers recommend using the Python library pdfplumber to extract and review the raw text your resume produces, checking for missing contact details, job titles, and skills. Fixing these issues at the template level ensures every application sent from that template benefits from the correction.