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Score your PDF or DOCX in seconds, see the highest-impact fixes first, match keywords, and build an ATS-clean resume without uploads, accounts, or LLM calls.
Pick a resume file from your device.
Text extraction and scoring run in this browser.
See score, breakdown, keywords, and exportable notes.
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The code is open source under the MIT license, and the product promise stays narrow: local document parsing, deterministic scoring, no account wall, and no AI model call hidden behind the interface.
PDF and DOCX text is extracted in the browser with client-side libraries.
Scores come from repeatable checks for parseability, sections, format, and content signals.
MIT-licensed. Read the scoring checks, parser, and export flow, open an issue, or send a pull request.
A fast heuristic check for parser-friendly text, contact details, sections, dates, bullets, and measurable impact.
No. PDF and DOCX files are processed locally in your browser and are not sent to a server.
No. The score is deterministic and does not use LLMs, model calls, accounts, or API keys.
Both work. Text-based PDFs give the clearest page-count and parseability signal.