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Emoji Detector API & Tool

Scan, detect, and remove emojis from any text string.

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Overview​

This tool allows you to easily extract emojis from customer reviews, tweets, and social media dumps for sentiment analysis, or strip them entirely to clean up your datasets for machine learning or database storage.

What the tool does​

It scans text using Unicode property escapes to accurately identify all modern emojis natively in the browser or via our API endpoint, optionally returning the cleaned string.

What problems it solves​

Cleaning text for databases that don't support utf8mb4, preprocessing text for natural language processing (NLP), or analyzing text metadata.

Who should use it​

Content moderators, data scientists, and developers building robust text ingestion pipelines.

Why it matters​

Emojis can break legacy systems and some ML/AI tokenizers. Efficient text cleaning is critical for accurate data analysis.

How It Works​

Input​

A raw text string containing a mixture of standard text and unicode emojis. Optional standard config boolean replace: true.

Processing​

We apply the [\p{Extended_Pictographic}] Regular Expression directly to the string which dynamically matches anything in the recognized Unicode Emoji tables.

Limitations​

It will not decode or fix corrupted mojibake strings.

Output​

JSON returning a boolean hasEmojis, exact emojiCount, an array of the emojis detected, and optionally the cleanText payload.

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Frequently Asked Questions​

Is this data sent to a server?​

If you use the web form above, no! It runs entirely client-side in your browser using standard JavaScript regex.

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