Emoji Remover
Strip all emojis and expressive symbols from your content for a clean look
Get plain text out of emoji-heavy content
Emojis are handy in chats and captions, but they cause problems in other places: database fields that reject four-byte characters, print layouts, CSV exports, subtitle files, or systems that show boxes instead of icons. Emoji Remover takes a block of text and deletes emoji characters, leaving the words and numbers as they were typed.
How to use it
- Paste your content into the Original Content box, or press the paste icon to pull it from the clipboard. The counter above the box updates with words and characters.
- Click Remove All Emojis. There are no extra settings to choose.
- The Clean Result panel shows your text without emojis, and Emojis Stripped shows the number of items removed.
- Use the copy icon or the download icon, which saves no-emojis.txt.
What gets removed
The tool deletes the copyright and registered signs, plus everything in the Unicode range from U+2000 to U+3300, and the surrogate-pair blocks where most modern emojis live, such as faces, animals, food, transport and flags. That covers a wide sweep, but it is a broad range rather than an exact emoji list, and this has side effects worth knowing about.
Side effects and limits
- Because the removed range starts at U+2000, general punctuation such as curly quotation marks, en and em dashes, ellipsis characters and bullets can be removed together with the emojis.
- Currency and symbol characters in that range, for example the euro sign, the trademark sign and arrows, are also stripped.
- Japanese hiragana and katakana, along with CJK punctuation, sit inside the same range, so do not use this tool on Japanese text.
- Invisible variation selectors that follow some emojis may remain and appear as empty spots.
- The Emojis Stripped count reflects every removed character, so it may include punctuation, not just emojis.
When it makes sense
- Preparing survey or review exports for software that cannot store emojis.
- Cleaning a caption before printing it on a label or a flyer.
- Making notes readable for a text-to-speech or screen-reader workflow.
- Sanitizing usernames or names copied from social profiles.
Run it on a sample first if your text includes typographic quotes or dashes, and compare the result to the original. Processing happens as JavaScript in your browser page.
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