Resume Matcher is an open-source project, licensed Apache-2.0, that solves a very specific problem: one resume cannot fit every job posting. Instead of manually reshuffling the same bullet points or pasting your work history into a chatbot, you maintain a single master resume and let the tool tailor a version for each role you apply to. It has built a large following on GitHub and is used by a substantial community of job seekers.
The workflow is transparent by design. You upload or edit your master resume in the builder, paste a job description, and the tool extracts the keywords that matter. Each keyword is checked against your resume with a match rate and an ATS score, then bullets are reworded to lead with what the posting asks for. Notably, nothing is invented: every change is shown as a before-and-after diff and nothing is saved until you confirm it.
Beyond tailoring, Resume Matcher includes an ATS check that reads your exported PDF back the way an applicant tracking system would and flags what it cannot parse, a Kanban application tracker, optional cover letters and interview prep, seven resume templates, and seven interface languages. Because it stores resumes, job descriptions and tracker data in a local SQLite file with encrypted API keys, it takes a privacy-first posture. You can connect OpenAI, Anthropic, Gemini, DeepSeek, OpenRouter, Groq or Azure, or run entirely offline with Ollama. The project is donation-supported and free of ads and paywalls.
