Resume-Matcher
The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
GraphCanon updated 4w · GitHub synced 4w · 28 views this month
Decision brief
A versatile TypeScript-based AI tool that supports more than 100 language models for building and parsing resumes, cover letters, and other documents with functionalities like text-similarity analysis and vector search.
Good fit when
- When you require extensive customization of resume-building tools supported by over 100 different language models.
- If your project necessitates local execution to ensure data privacy while utilizing advanced natural language processing techniques for ATS optimization.
Avoid when
- Avoid Resume-Matcher if your team lacks TypeScript knowledge or resources as the tool is based on this programming language.
- Do not choose Resume-Matcher when a web-hosted solution is preferred over local installations due to its emphasis on on-premise execution for enhanced privacy controls.
- Pricing:
- freemium - Available under Apache-2.0 license; possible freemium model based on open-source foundation, with potential premium add-ons or services.
Observed Jul 11, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (27,866) are secondary evidence.
- Docker Hub pulls (30d)
- 6,805·Docker Hub API·4w
Maintenance and security
Full trust report- Maintenance
- Active (16d since push)
- As of 4w
- Provenance
- Not a fork · Personal account
- As of 4w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install Resume-MatcherHow it fits your stack(1)
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Relationship graph
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Similar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A versatile AI tool designed primarily to handle resume building and parsing using machine learning techniques including text-similarity and word-embeddings.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Jul 23, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Jul 23, 2026
- Languages
- typescript
Source: github.language · Jul 23, 2026
Categories
Tags
README
Getting Started
Resume Matcher works by creating a master resume that you can use to tailor for each job application. Installation instructions here: How to Install
How to Install
For detailed setup instructions, see SETUP.md (English) or: Español, 简体中文, 日本語.
Quick Start
Fastest for MacOS, WSL and Ubuntu users:
---
### Docker Deployment
Official Docker images are published for `linux/amd64` and `linux/arm64` on:
- `ghcr.io/srbhr/resume-matcher`
- `srbhr/resume-matcher`
Run on a single public port (`3000`) with API available at `/api`:
```bash
docker run --name resume-matcher \
-p 3000:3000 \
-v resume-data:/app/backend/data \
ghcr.io/srbhr/resume-matcher:latest
Prefer pinning a version in production, for example ghcr.io/srbhr/resume-matcher:1.2.0 or
ghcr.io/srbhr/resume-matcher:1.2.
Endpoints:
- App: http://localhost:3000
- API health check: http://localhost:3000/api/v1/health
- API docs: http://localhost:3000/docs
Using Ollama with Docker? Use
http://host.docker.internal:11434as the Ollama URL instead oflocalhost.
For agents
This page has a .md twin and JSON over the API.