# srbhr/Resume-Matcher

The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.

Repository: https://github.com/srbhr/Resume-Matcher
Canonical: https://ross.abutalabs.com/products/resume-matcher
Homepage: https://resumematcher.fyi/
Language: TypeScript
License: Apache-2.0
License Family: permissive
Topics: text-similarity, natural-language-processing, word-embeddings, python, machine-learning, resume, vector-search, resume-builder, resume-parser, ats, applicant-tracking-system, nextjs, typescript, hacktoberfest
Last push: 2026-08-11T19:47:45+00:00

## Health v2 (maintenance only)
Score: 86/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 65, longevity 100
- inputs: {"age_days": 2338, "days_push": 22, "days_rel": 153, "gap_med": 50, "n_releases_24m": 4}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 28254, forks 5001 (observed 2026-08-28T04:11:48.220391+00:00)

## What it is
Resume Matcher is an open-source, self-hosted AI application that tailors resumes and cover letters to specific job descriptions using LLMs (cloud or local via Ollama). It parses a master resume, analyzes job postings for keywords, scores match rates, and exports polished PDFs through a built-in resume builder.

## Use cases
- tailor my resume to a specific job description with AI
- check how well my resume matches a job posting and which keywords are missing
- build an ATS-friendly resume for free without paying for services
- generate cover letters from my resume and a job description
- run resume tailoring locally with Ollama so my data stays private
- parse my existing resume PDF and edit it in a builder
- optimize my resume keywords to get past applicant tracking systems

## When to choose
- you apply to many jobs and want tailored resumes generated quickly from a master resume
- you want a free, open-source alternative to paid resume optimization services
- privacy matters and you want everything running locally with Ollama
- you want keyword gap analysis and match scoring against job descriptions

## When to avoid
- you need a fully automated job-application bot that submits applications for you
- you want a simple static resume template editor without AI features
- you cannot run Python/Node.js or Docker locally and don't want to self-host
- you need guaranteed ATS pass rates - no tool can promise that

## Facets
- artifact type: application
- maturity: active
- function: nlp, llm-inference, rag, pdf, web-framework, ui-components
- domain: machine-learning, web-development, developer-tools, hr
- platform: python, self-hosted, cross-platform
- tags: resume-builder, ats-optimization, job-applications, cover-letter-generator, ollama, local-llm, resume-tailoring, keyword-matching, nextjs, natural-language-processing, nodejs, docker, web-server

## Member repositories
- srbhr/Resume-Matcher (main) score 86

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:48.220391+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T16:54:25.220214+00:00, confidence not recorded.
  - readme: https://github.com/srbhr/Resume-Matcher (fetched 2026-08-28T04:11:48.220391+00:00, sha 9cba988e283a)
  - homepage: https://resumematcher.fyi/ (fetched 2026-08-29T07:51:19.416502+00:00, sha f5eaa973a6f3)
  - site_page: https://resumematcher.fyi/docs (fetched 2026-08-29T07:51:19.426147+00:00, sha 900eca743876)
  - site_page: https://resumematcher.fyi/about (fetched 2026-08-29T07:51:19.428311+00:00, sha 3b102e79035a)
  - site_page: https://resumematcher.fyi/docs/getting-started (fetched 2026-08-29T07:51:19.430448+00:00, sha 6c207eeaaf6b)
- Data as of 2026-08-30T08:39:29.467469+00:00.