Email Extractor
Extract emails from text, files (TXT), or URLs.
Input Source
Currently supports .txt files directly. PDF/DOCX require specific libraries (see code comments).
NOTE: Extraction may fail due to CORS restrictions. A server-side proxy is recommended for reliability.
Results
Extracted Emails
Extracted emails will appear here...
User Guide
- Select the input source: Text, File, or URL using the tabs.
-
For Text: Paste your content directly into the text area.
For File: Click 'Choose File', select a.txtfile.
For URL: Enter the full web address (includinghttp://orhttps://). - Click the " Extract Emails" button.
- Processing may take a moment for large inputs or URLs.
- View the extracted unique emails and statistics in the "Results" section.
- Extracted emails are highlighted (like this).
- Use the " Copy List", " Download .TXT", or " Download .CSV" buttons to save your results.
- Click " Reset / Clear" to start over.
| Feature | Details |
|---|---|
| Price | Free |
| Rendering | Client-Side Rendering |
| Language | JavaScript |
| Paywall | No |
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About This Tool
This tool provides a powerful and user-friendly solution for automatically identifying and extracting email addresses embedded within blocks of text, text files, or even directly from web pages via URL. Designed with efficiency and clarity in mind, it caters to users needing to compile contact lists for marketing, research, or data analysis purposes.
Core Functionality:
The extractor utilizes robust pattern matching (regular expressions) to scan the provided input source and accurately identify potential email addresses conforming to standard formats (e.g., user@domain.com). It intelligently filters out duplicates to present a clean list of unique emails.
Key Features:
Multiple Input Sources:
- Direct Text Input: Simply paste any amount of text directly into the provided text area.
- File Upload: Upload
.txtfiles for seamless extraction from documents. (Note: While designed for TXT, placeholders exist for future integration of PDF/DOCX parsing libraries.) - URL Extraction: Enter a website URL, and the tool will attempt to fetch the page's content and extract emails. (Note: Success depends on the target website's CORS policy; results may vary.)
Comprehensive Statistics: Gain insights into the extraction process with clear statistics showing the total number of email addresses found versus the count of unique emails extracted.
Clear Results & Highlighting: Extracted unique emails are displayed in a dedicated results area, with each email clearly highlighted for easy visual scanning. A badge indicates the total count of unique results.
User Guidance & Transparency:
- An integrated User Guide provides step-by-step instructions.
- A brief explanation clarifies how results are calculated, ensuring users understand the process (regex matching, duplicate removal).
Convenient Output Options:
- Copy to Clipboard: Instantly copy the entire list of unique emails with a single click.
- Download: Export the extracted emails as a simple
.txtfile (one email per line) or a structured.csvfile (suitable for spreadsheets or databases).
Modern & Responsive UI:
- Built with a clean, minimalist black and white theme using modern CSS techniques.
- Features intuitive icons (Font Awesome) for enhanced usability.
- The interface is fully responsive, adapting dynamically to different screen sizes (desktops, tablets, mobiles).
Ease of Use: Includes a prominent "Reset / Clear" button to quickly start a new extraction task. Loading and error indicators provide feedback during processing.
In essence, the Advanced Email Extractor by TONTUF Tool is a versatile, efficient, and visually appealing tool designed to streamline the often tedious task of finding and collecting email addresses from various text-based sources.
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