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Emojeez

Emojeez is a Python application that searches for emojis by the meaning of text queries in more than 50 languages. It uses embedding-based semantic search across a documented collection of more than 5,000 emojis, with a Streamlit interface and an optional command-line tool.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Emojeez — OpenViST project profile in Search & Research AI.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Emojeez when you can describe the intended meaning in a keyword, phrase or sentence but do not know which emoji or Unicode name to search for. The project says phrase and full-sentence queries are optimized.

Who it is for

  • People who want emoji suggestions from a phrase or sentence rather than an exact emoji name.
  • Multilingual users searching for emojis in a supported language.
  • Developers exploring a Python-based semantic emoji-search application.

Documented uses

  • Find emojis that express an idea, activity, creature or context described in text.
  • Explore emoji suggestions for a query in one of more than 50 languages.
  • Run the search interface locally using the documented Python and Streamlit setup.
Before you choose

Requirements & limits

The repository links to a Streamlit-hosted web app and provides local setup instructions. The public repository identifies the project as MIT-licensed.

  • The search is semantic and embedding-based, not limited to matching the literal text of an emoji name.
  • The project describes support for more than 50 languages and an index of more than 5,000 emojis.
  • Local setup lists Python 3.11+, Qdrant, Sentence Transformers and Streamlit as prerequisites.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Run the emoji search app locally

Set up and launch Emojeez’s documented local Streamlit application.

Before you start

  • Python 3.11 or later
  • Qdrant
  • Sentence Transformers
  • Streamlit

Steps

  1. Clone the badrex/emojeez repository and change into its directory.

  2. Install the packages with the command below.

    Documented command
    pip install -r requirements.txt

  3. Launch the app with streamlit run search_emojis_app.py.

Expected outcome

The Streamlit application starts with a text input for searching emojis by query meaning.

Guide limitations

  • The project says phrase or full-sentence queries are optimized.
  • The guide reflects repository instructions; it does not establish that the application was run or tested.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
16 October 2026
Original website title
badrex/emojeez · Official homepage title · retained in its source language
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