JadeAI
AI-Powered Smart Resume Builder — 50+ professional templates, PDF/image parsing, AI optimization, JD match analysis, multi-format export. Open source & free, on
What is JadeAI?
AI-Powered Smart Resume Builder — 50+ professional templates, PDF/image parsing, AI optimization, JD match analysis, multi-format export. Open source & free, one-click Docker deployment.
Overview of JadeAI
What it is
JadeAI is an open-source, AI-powered smart resume builder. It provides a drag-and-drop editor, over 50 professional templates, and AI-driven features like resume generation, parsing, job description match analysis, and mock interviews. Users can export resumes in PDF, DOCX, HTML, TXT, and JSON formats. The project is available under the Apache-2.0 license and can be deployed via Docker or used as a desktop client.
Key features
- Drag-and-drop resume editor with inline editing, undo/redo (up to 50 steps), auto-save, and theme customization.
- AI chat assistant for resume generation, parsing (PDF/image), grammar and writing check, translation (10 languages), and cover letter generation.
- Job description match analysis with keyword matching, ATS score, and improvement suggestions.
- Mock interview simulation with 6 preset interviewer roles (HR, Technical, etc.) and custom interviewers, including follow-up questions and detailed reports.
- Multi-format export (PDF, DOCX, HTML, TXT, JSON) and link sharing with optional password protection and view counter.
- Multi-resume dashboard with grid/list views, search, sort, duplicate, rename, and JSON import.
- Bilingual UI (Chinese and English), dark mode support, flexible authentication (Google OAuth or browser fingerprint), and local SQLite storage.
Use cases
- Building a professional resume quickly from scratch using AI generation and templates.
- Improving an existing resume by parsing a PDF or image, then optimizing with grammar checks and JD matching.
- Practicing interview skills with AI-powered mock interviews tailored to a specific job description.
- Exporting resumes in multiple formats for different application platforms or printing.
Getting started
To deploy using Docker, run the official image as described in the repository documentation. For the desktop client, download the installer from the latest release for your platform (macOS Apple Silicon/Intel, Windows x64).
License and pricing
This project is licensed under the Apache-2.0 license. It is open source and free. Users may need to provide their own AI API key (e.g., OpenAI, Anthropic).
Based on the project's public README and repository metadata.
