Extract Emails from Text Files
Easily extract email addresses from various text files (TXT, LOG, JSON, MD, PY, JS, etc.) - fully private, processed in your browser, zero server uploads.
Drop your file here, or click to select
Supported File Formats: TXT, JSON, LOG, MD, XML, SQL, PY, JS
Total Emails Found
0
Unique Emails
0
How To Extract Email Addresses From Text Files Online For Free
Follow these four simple steps
1. Select File
Choose your text file (TXT, LOG, JSON, MD, PY, JS, etc.). Files are processed directly in your browser for complete privacy.
2. Automatic Extraction
Our intelligent system will scan the document and automatically extract all email addresses.
3. Automatic Deduplication
Duplicate email addresses are automatically removed from your results.
4. Export Results
Download the extracted email list in your preferred format (CSV, XLSX, or TXT) or copy to clipboard.
Pro Tips
- For best results, ensure your documents are text-searchable
- After extraction is complete, you can view domain statistics to see the proportion of emails for each domain
- All processing happens in your browser - your data never leaves your computer
- Works with any text-based file format, including code files and data files
Frequently Asked Questions
Have another question? Contact us on Discord or by email.
What is the Text Files Email Extractor?
Our specialized tool extracts email addresses from various text-based files directly in your browser. It supports multiple formats including TXT, LOG, JSON, MD, PY, JS, and other text-based file types.
What file formats are supported?
We support a wide range of text-based file formats including: TXT (plain text), LOG (log files), JSON (data files), MD (Markdown), PY (Python), JS (JavaScript), TS (TypeScript), HTML, CSS, XML, YAML, and other text-based formats.
How does it work with different file types?
The tool automatically detects the file type and processes it accordingly. For code files, it intelligently handles comments and string literals. For data files like JSON, it processes both keys and values. For log files, it scans through the entire content regardless of format.
Does it work with code files?
Yes, our tool can extract emails from code files while respecting the context. It can distinguish between actual email addresses and example or placeholder emails in comments, strings, or documentation.
How does it handle different encodings?
The tool automatically detects and handles various text encodings including UTF-8, ASCII, ISO-8859, and other common encodings. It ensures proper processing of special characters and international email addresses.
Can it handle large text files?
Free users can process files up to 5MB in size. This typically covers text files with hundreds of thousands of lines. Pro users can process files of any size, perfect for large log files or codebases.
How does it handle email addresses in code comments?
The tool intelligently processes code files and can extract email addresses from comments while respecting the context. It can distinguish between actual email addresses and example or placeholder emails in documentation.
How does the tool handle duplicate emails?
The tool automatically identifies duplicate email addresses across the entire file and will remove duplicates in the export.
Is it safe to use with confidential files?
Absolutely. Since all processing happens in your browser, your file data never leaves your computer. We don't store, transmit, or have any access to your file contents.