LangTranslator

LangTranslator is a real-time speech translation application built with Python. It converts spoken words into text, translates them into a target language, and provides an audio output of the translated text. This project leverages Speech Recognition, Machine Translation, and Text-to-Speech (TTS) to enhance communication across different languages.

Features

• 🎙️ Speech Recognition: Captures spoken words using Google Speech Recognition
• 🌍 Translation: Converts recognized speech into multiple target languages
• 🔊 Text-to-Speech: Plays the translated text as audio output
• 🖥️ Streamlit Web Interface: Provides a user-friendly web-based UI for easy interaction
• 📡 Cross-Platform Support: Works on Windows, macOS, and Linux

Supported Languages

LangTranslator currently supports translation and speech output for the following languages:

• 🇫🇷 French (fr)
• 🇪🇸 Spanish (es)
• 🇩🇪 German (de)
• 🇮🇳 Hindi (hi)
• 🇨🇳 Chinese (zh)
• 🇸🇦 Arabic (ar)
• 🇮🇳 Kannada (kn)

Streamlit Web App

The project includes a Streamlit-based web interface where users can:

• Select a target language from a dropdown menu
• Click a button to start speech recognition
• View the recognized and translated text in real time
• Listen to the translated speech output with a single click

Technologies Used

• Python for backend processing
• Google Speech Recognition API for speech-to-text conversion
• mtranslate for text translation
• gTTS (Google Text-to-Speech) for converting text to speech
• Streamlit for building the web interface

Installation & Usage

1. Clone the repository:

   git clone https://github.com/farhaan-arshad/LangTranslator.git

2. Navigate to the project directory:

   cd LangTranslator

3. Install dependencies:

   pip install -r requirements.txt

4. Run the Streamlit app:

   streamlit run app.py

Made By

Farhaan Arshad