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Emoji to Shortcode Converter

Convert emoji characters to their platform shortcode equivalents like :smile: or :fire: for use in Markdown.

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About this tool

The Emoji to Shortcode Converter transforms Unicode emoji characters in text into their human-readable shortcode equivalents, such as 🔥 → :fire: or 👍 → :thumbsup:. Shortcodes are the text representation used by platforms like Slack, GitHub, Discord, and Jekyll-based Markdown sites to insert emoji. This tool is useful when migrating content between platforms, generating emoji-friendly Markdown, or when working in environments where Unicode emoji are not rendered correctly but shortcodes are supported. It processes the entire block of text, replacing each recognized emoji inline while leaving all non-emoji content unchanged.

Why use it

  • Converts emoji to universally recognized shortcode format in one step.

  • Output works directly in Slack, GitHub Markdown, Discord, and Jekyll.

  • Handles thousands of emoji including skin tones and compound sequences.

  • Runs entirely in the browser with no data sent to a server.

  • Lets you store emoji-rich text safely in code repositories without binary-character risk.

  • Makes diff-friendly version control of emoji content possible — shortcodes are plain text.

How to use

  1. Paste text containing emoji into the input box.
  2. The output shows the same text with each emoji replaced by its shortcode.
  3. Copy the output and use it in Markdown, Slack, GitHub, or any shortcode-supporting platform.
  4. Verify that the platform you are pasting into supports shortcodes — Slack, Discord, GitHub, and most Jekyll sites do.
  5. If a shortcode does not render in your target system, double-check the platform's emoji set or fall back to the emoji.
  6. For batch documentation work, paste an entire markdown article and convert all emoji at once.

When it helps

  • Preparing Markdown documents that use shortcode-style emoji notation.
  • Migrating chat exports from one platform to another with different emoji formats.
  • Converting emoji in blog post content to Slack or GitHub Markdown shortcodes.
  • Creating emoji-annotated code comments that render on GitHub.
  • Authoring GitHub issues or pull request descriptions where shortcodes render as emoji.
  • Migrating WhatsApp or Telegram chat logs to a Jekyll-based static site.

Examples

Markdown post

Input

Loving this feature 🔥 and 100% recommend 👍

Expected result

Loving this feature :fire: and 100% recommend :thumbsup:

GitHub release notes

Input

🚀 Major release — see the changelog 📝

Expected result

:rocket: Major release — see the changelog :memo:

Skin-tone variant

Input

Great job 👏🏽 keep it up 💪🏼

Expected result

Great job :clap::skin-tone-4: keep it up :muscle::skin-tone-3:

Tips

  • Test pasted shortcodes in your target platform first — Slack and GitHub use slightly different aliases for some less common emoji.
  • When documenting in Markdown, shortcodes are easier to type from a keyboard than copy-pasting actual emoji characters.
  • Use this with the Emoji Extractor to first identify all emoji in a corpus, then convert them in one pass.
  • If you collaborate with people on different OSes, shortcodes render consistently while raw emoji can look different per system.
  • For older email systems that mangle Unicode, shortcodes preserve the intent even if the emoji do not render.

Frequently Asked Questions

Which platforms are the shortcodes compatible with?
Shortcodes follow the common conventions used by Slack, GitHub, Discord, and the Gemoji / Twemoji libraries.
What happens if an emoji has no known shortcode?
Emoji without a recognized shortcode mapping are left as-is in the output.
Does it convert in both directions?
This tool converts emoji to shortcodes. To go the other direction (shortcode → emoji) you would need a dedicated shortcode expander.
Are skin-tone emoji converted correctly?
Yes. Skin-tone variants produce a shortcode that includes the modifier, e.g. :thumbsup::skin-tone-3:.
Does it convert the entire text or just selected emoji?
It converts all emoji in the entire text block, replacing each inline while preserving all surrounding content.
Does it support custom or platform-only emoji?
No. Custom Slack or Discord emoji are not Unicode characters and have no standard mapping. The tool covers the standard Unicode emoji set.
Will it convert symbols like ™ or © to shortcodes?
No. Standard text symbols are not emoji; they are left as-is.
What dictionary is used for the mapping?
The mapping aligns with the widely-used Gemoji and Twemoji shortcode conventions, which Slack, GitHub, and Discord all share.

Explore the category

Emoji Extractor Extract all unique emoji from text and list them with their Unicode code points and shortcode names. Emoji Remover Strip all emoji characters from text, producing clean plain text output without any Unicode pictographs. Hidden Character Detector Detect invisible characters like NBSP, zero-width spaces, bidi controls, BOM, tabs, CR/LF, and control chars, then clean safely. Diacritic & Accent Remover Strip accents, umlauts, and diacritical marks from text, converting characters like é, ü, ñ to plain ASCII. Pluralizer & Singularizer Convert English nouns between their singular and plural forms using proper grammar rules including irregular words. Markdown to PDF Converter Convert Markdown to a styled PDF with live preview. Choose GitHub, Minimal, or Dark theme.

Glossary

Shortcode
A text alias starting and ending with colons (e.g. :smile:) that platforms convert to emoji when rendering.
Gemoji
GitHub's open-source emoji shortcode reference, widely adopted as the de facto standard.
Twemoji
Twitter's open-source emoji set and naming conventions, compatible with most shortcode parsers.
Markdown
A lightweight markup language for formatting text using simple symbols; many flavors support emoji shortcodes.
Skin-tone modifier
A suffix like :skin-tone-3: appended to a base emoji shortcode to set the skin tone.
Codepoint mapping
The lookup table connecting Unicode code points (e.g. U+1F600) to their shortcode names (e.g. :grinning:).