Abstract
Angular Email Editor is an open-source Digital Marketing & SEO project. Drag-n-Drop Email Editor Component for Angular. The excellent drag-n-drop email editor by Unlayer as a Angular _wrapper component_. This is the most powerful and developer friendly visual email builder for your app. It is built using TypeScript, Angular. The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building a Digital Marketing & SEO mini project or final-year project.
1. Introduction
The excellent drag-n-drop email editor by Unlayer as a Angular _wrapper component_. This is the most powerful and developer friendly visual email builder for your app.
2. Objective
Drag-n-Drop Email Editor Component for Angular
This project demonstrates how TypeScript, Angular can be applied to a real-world Digital Marketing & SEO problem.
4. Technology Stack
5. System Requirements
General requirements for this technology stack — check the README for exact versions.
- Node.js (LTS) and npm / yarn / pnpm
- VS Code or any code editor
- Git (to clone the repository)
6. Installation & Setup
git clone https://github.com/unlayer/angular-email-editor.git
cd angular-email-editornpm install angular-email-editor --saveimport { EmailEditorModule } from 'angular-email-editor';
...
@NgModule({
...
imports: [ EmailEditorModule ],
...
});<button (click)="exportHtml()">Export</button>
<email-editor
[options]="options"
(loaded)="editorLoaded()"
(ready)="editorReady()"
></email-editor>{
"compilerOptions": {
"skipLibCheck": true,
}
}Full setup instructions are in the project README.
7. Future Enhancements
Suggested extensions you can add to make this your own project.
- Export reports to Google Sheets or PDF
- Schedule weekly automated reports
- Add competitor comparison
8. Viva / Review Questions
Common questions examiners ask for projects in this domain.
- Which marketing or SEO problem does this tool solve?
- Which data sources or APIs does it use (Search Console, Analytics, social platforms)?
- Which metrics or KPIs does it report and how are they calculated?
- How could the output help a business make decisions?
- How would you schedule it to run automatically?
9. Source Code & License
This project is developed by unlayer and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.
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