# CV Mirror

> Free, fully client-side ATS scanner. Drop a CV. See how Workday, Greenhouse, Lever, Taleo, and iCIMS parse it — side by side. No fake score, no signup, nothing uploads.

CV Mirror is built for job seekers who want the parser truth, not an invented score. Every other ATS scanner on the web makes up a 0–100 number using its own heuristics. We instead simulate the documented quirks of five real ATS systems and show you, field by field, what each one extracts vs. drops.

## What it does

- [Multi-vendor parse view](https://cv-mirror-web.vercel.app/) — same CV, 5 simulated parsers (Workday, Greenhouse, Lever, Taleo, iCIMS), side by side.
- Reading-order overlay — numbered red arrows on the actual PDF showing the literal text-extraction order.
- Vendor-specific lint — date-format failures, section-header risks, Unicode tripwires, all per-ATS.
- Generic ATS-readiness lint — multi-column, image-PDF, fancy fonts, etc.
- Keyword extraction + JD match.

## Privacy

The bytes of your CV never leave your browser. There is no upload endpoint. Everything (PDF parsing, vendor simulation, lint, keyword extraction) runs client-side as JavaScript. No account, no payment, no usage limit.

## Pages

- [Homepage](https://cv-mirror-web.vercel.app/): landing + the tool.
- [How it works](https://cv-mirror-web.vercel.app/how-it-works): per-vendor methodology with cited sources for every quirk simulated. Markdown: /how-it-works.md
- [Privacy Notice](https://cv-mirror-web.vercel.app/privacy): explains why the architecture makes uploads impossible.
- [Terms of Use](https://cv-mirror-web.vercel.app/terms)
- [Disclaimer](https://cv-mirror-web.vercel.app/disclaimer): plain-English limits of the heuristic.
- [Fair Use Policy](https://cv-mirror-web.vercel.app/fair-use): permitted use vs. mirroring/rebrand prohibitions.

## Sister product

- [Vantage AI](https://vantage-livid.vercel.app/) — same team, different problem. CV Mirror gets your CV past the parser; Vantage gets you ready for the interview (company intel, tailored cover letter, mock interview, fit score, 5-minute pitch outline). One upload, one job link, ~90 seconds.

## Optional

- [Full product context](https://cv-mirror-web.vercel.app/llms-full.txt): extended description, methodology, vendor sources, FAQ, for LLM crawlers and AI assistants.