How to Extract Email Addresses from TXT and TSV Files

When TXT and TSV Files Are Useful

Plain text (.txt) files are one of the most common ways to store unstructured data. Server logs, exported chat transcripts, copied web content, meeting notes and contact lists all end up as TXT files. Any email addresses embedded in that text can be extracted.

Tab-separated value (.tsv) files work like CSV files but use tab characters instead of commas between columns. Spreadsheet exports, database dumps and some CRM tools produce TSV files. Email Extractor reads both TXT and TSV files as plain text and scans them for email address patterns.

Extraction Steps

Uploading a file

1. Open Email Extractor.
2. Select Text and files.
3. Click the upload area or drag your .txt or .tsv file into it.
4. Click Extract emails.
5. Review the results. Each address appears once, with duplicates removed using case-insensitive matching.
6. Copy individual addresses or download the full list as TXT, CSV or CSV with sources.

Each file can be up to 25 MB. If you are uploading several files together, the combined batch limit is 100 MB.

Pasting text directly

If you have text copied from another application, you can paste it instead of uploading a file:

1. Open Email Extractor.
2. Select Text and files.
3. Paste your text into the input area.
4. Click Extract emails.

This works well for short snippets, clipboard content or text copied from applications that do not export to a file.

Example

A file called meeting-notes.txt contains the following text:

Project kickoff. 14 March 2026

Attendees:
Yuki Tanaka (yuki@example.com)
dev team lead. priya@example.org
Notes forwarded to archive@example.net

Action items sent to yuki@example.com and priya@example.org

After extraction, Email Extractor returns three unique addresses:

• yuki@example.com
• priya@example.org
• archive@example.net

The duplicate yuki@example.com and priya@example.org entries from the action-items line are removed automatically.

Expected Results

Email Extractor scans the entire text content for strings that match email address patterns. It finds addresses whether they appear on their own line, inside parentheses, after labels, in URLs, or mixed into paragraphs.

Results can be downloaded in three formats:

• TXT. one address per line.
• CSV. one address per row, suitable for spreadsheet import.
• CSV with sources. includes the source file name alongside each address, useful when uploading multiple files in one batch.

Downloaded results reflect any active filters. If you have filtered the results before downloading, only the filtered addresses are included.

Limitations

No structure recognition. TXT and TSV files have no internal metadata. Email Extractor scans them as flat text. It does not associate addresses with names, columns or other fields from the original file. If you need column associations preserved, consider using the source file in its original spreadsheet format (XLSX, CSV or ODS) instead.

Non-email patterns. Strings that resemble email addresses but are not, such as placeholders or code examples, may appear in results. Review the extracted list and remove entries that do not represent real mailboxes.

Encoding. Email Extractor reads UTF-8 encoded text. Files saved with unusual character encodings may not be processed correctly. Most modern text editors save as UTF-8 by default.

Troubleshooting

No addresses found

• Open the file in a text editor and confirm that email addresses are visible in the text. If addresses are described but not written out ("contact the sales team"), there is nothing to extract.
• Check whether the file is actually a renamed binary format. A .txt extension on a file that is actually a Word document or PDF will not produce results. Use the correct format for the actual file type.

Unexpected characters in results

• If addresses include extra characters, the surrounding text may contain formatting marks or encoded characters that the pattern matcher treats as part of the address. Review the original text near those addresses.
• TSV files sometimes include tab characters adjacent to addresses. These are stripped during extraction, but if a cell contains additional punctuation, it may attach to the address string. Review and clean any affected entries.

Source review

When extracting from multiple TXT or TSV files in one batch, download results as CSV with sources to see which file each address came from. This helps trace addresses back to their original context for review.

Related Guides

• Extract emails from JSON, XML and log files. for structured text formats.
• Extract emails from multiple file types at once. for mixed-format batches.
• Remove duplicate emails from an extracted list. for post-extraction deduplication across sessions.