Batch Resume Scoring: Score, Fix, and Rebuild It Against the Job (Free, On-Device)
Score Your Resume Efficiently
Use a lightweight script that reads each PDF or DOCX, extracts plain text, and maps keywords from the job description to your resume sections. Begin by loading the job posting into a dictionary of required skills, years of experience, and certifications. Then, for each resume, parse the contact block, summary, experience, education, and skills. Count occurrences of each required keyword in the experience and skills blocks, weighting technical terms higher than soft skills. Sum the weighted counts to produce a score out of 100. Store scores in a CSV for quick sorting. Run the script on a batch of files using a single command; it works on Windows, macOS, or Linux without external dependencies. Integrate a simple fuzzy matcher such as difflib to catch synonyms, and calculate a weighted sum where technical skills count double and years of experience count 0.5 per year. Save the per‑file breakdown in a JSON array for post‑processing. For scanned PDFs, integrate Tesseract OCR to extract text, then apply the same keyword weighting; this ensures consistency across image‑based documents.Fix and Rebuild Your Resume
Identify the top three gaps between your score and the job’s threshold (e.g., missing key tech stack, insufficient years, absent certification). Edit the corresponding experience entries to insert the missing term, quantify achievements with numbers, and align bullet verbs with the job’s language. If a section lacks depth, add a concise project line that mirrors the required outcome. After edits, rerun the scoring script; iterate until the score meets or exceeds the threshold by at least 5 points. Finally, export the revised document as a clean PDF, preserving original formatting, and keep the source file in a version‑controlled folder for future batch runs. Commit the revised file to a Git repository with a clear commit message referencing the job ID, then schedule the script via a cron job or Windows Task Scheduler to process new applications nightly. Use a batch file that loops through all PDFs in a folder, invoking the scorer and automatically generating a ranked list in an HTML report that highlights score changes. Review HTML report morning to prioritize applications with highest match scores.Skip the DIY. VaultPDF's Screen the Stack room does exactly this — drop a folder, get a ranked sheet back, nothing ever leaves your machine.
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