Email Extractor
Text ToolsExtract all email addresses from a block of text
How to Use This Tool
Paste your text
Paste or type the text you want to analyze or transform into the input area.
See results instantly
The tool processes your text in real time, updating results as you type.
Apply transformations
Use any available options or controls to adjust the output to your needs.
Copy the output
Click "Copy" to copy the result, or download it as a file if the output is large.
About This Tool
Email Extractor is a free, instant, browser-based tool that extract all email addresses from a block of text. Text processing tools are among the most universally useful tools for developers, writers, editors, and data analysts alike. Whether you need to count words in an article, compare two versions of a document, test a regular expression, convert case, or strip unwanted characters, having reliable text tools at your fingertips saves countless hours of tedious manual work.
This tool runs entirely in your browser. Nothing you type or paste is ever sent to a server, so you can safely work with confidential documents, proprietary text, or sensitive data.
Writers and editors use text tools to track word counts against publication limits, check readability scores, and detect unintended repetition. Developers use them to test regex patterns against real inputs, find differences between code or configuration versions, normalize text casing for database fields, and strip or transform text before importing it into other systems. Data analysts use text tools to clean up CSV exports, normalize inconsistent formatting, and prepare text for further processing.
Email Extractor pulls all email addresses from unstructured text, HTML, or documents. It is useful for building contact lists from web content, auditing HTML for exposed email addresses, and preprocessing data before import into CRM systems.
Why Use This Tool?
Email Extractor pulls all email addresses from unstructured text, HTML, or documents. It is useful for building contact lists from web content, auditing HTML for exposed email addresses, and preprocessing data before import into CRM systems.
Common pitfalls and gotchas
The mistakes that come up repeatedly when working with text tools tools — most of them invisible until they cause production failures or silent data corruption.
Counting bytes instead of characters
A simple `string.length` in JavaScript counts UTF-16 code units, not characters. An emoji like 👨👩👧 takes 7-11 code units depending on the variant. For accurate Unicode-aware counting, use `[...string].length` or libraries with proper grapheme cluster support (e.g., `Intl.Segmenter`).
Naive case conversion across scripts
Turkish has dotless and dotted lowercase i (`ı` and `i`); German lowercase ß has no traditional uppercase form. JavaScript's `toUpperCase()` doesn't handle these reliably. For case-insensitive comparisons in localized contexts, use locale-aware functions (`toLocaleUpperCase('tr-TR')`) or normalize first.
Regex mismatches on multi-line input
By default, `^` and `$` match string start/end, not line start/end. Add the `m` flag for multi-line matching, and `s` for `.` to match newlines. Many subtle text-processing bugs trace back to regex flags that were never set.
Frequently asked questions
How accurate is the word count for non-Latin scripts?
Languages without space-separated words (Chinese, Japanese, Thai) require segmentation algorithms more sophisticated than splitting on whitespace. Our counter handles these reasonably for short text but isn't a substitute for a dedicated linguistic tokenizer if accuracy matters in those scripts.
Does case conversion handle Unicode correctly?
Yes, with caveats. Standard cases (ASCII letters, common European scripts) work as expected. Locale-sensitive cases (Turkish dotless i, German ß, Greek final sigma) follow Unicode default rules but may not match locale-specific conventions. For locale-specific cases, use a locale-aware library.
Can I use this tool for OCR or extracting text from images?
No — these are pure text tools that operate on text input. For OCR, use specialized services or libraries like Tesseract that read images and produce text. Once you have the text, paste it here for further processing.
Is there a length limit for text input?
Browser-based processing scales reasonably to a few megabytes of text. Beyond that, the browser may slow down or run out of memory depending on the device. For very large text files, use a desktop tool or a streaming text processor.
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