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Toolzum

AI Cover Letter Generator

Turn a job description plus your resume into a tailored cover letter that mirrors the employer's keywords. Applicants generate a first draft in a minute — 1 credit per letter, sign in free for 5. Uses cloud-based processing.

Cloud AI Browser Native1 credit per use

How to Use the AI Cover Letter Generator

1. Paste ad plus bullets

Add the real job post and 5–8 resume bullets with numbers — specifics in, specifics out.

2. Generate the draft

Each letter costs 1 credit. Mirrored keywords from the ad land automatically.

3. Rewrite and send

Replace the opening and closing in your own voice, add one quantified win, then send.

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Frequently Asked Questions

How do I get a cover letter that actually gets interviews?

Paste the real job ad plus 5–8 resume bullets, then generate and edit: keep the mirrored keywords (React, reconciliation, TDS), cut generic filler, and add one quantified win like 'cut invoice errors 30%'. Hiring screens reward specific matches, not flattery.

Is my resume data sent anywhere?

Yes — your job description and resume text go to the AI API for generation and are deleted after processing; never stored or shared by us. The provider may log prompts briefly, so redact phone numbers, addresses, and current-employer secrets before generating.

What does each cover letter cost?

Each letter costs 1 text-generation credit. Signed-in free plans include a one-time 5-credit trial (about 5 letters); Pro includes 200 credits monthly. Anonymous requests return 401 — an account is required.

Will recruiters know it is AI-written?

Possibly — unedited AI letters share phrasing patterns recruiters now recognize. Always rewrite the opening and closing in your own voice and insert one true story from your experience; that single paragraph is what passes both ATS keyword scans and human readers.

Can it match applicant tracking keywords?

Yes — it mirrors terminology straight from the posting (tools, certifications, skills) into the draft. After generating, compare the letter against the ad's top 10 nouns and add any missing ones naturally; that mirroring is what ATS parsers score.

Last updated October 2026