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What is LangShazam?

LangShazam is a real-time language detection service that identifies spoken languages instantly using your microphone. Powered by OpenAI’s Whisper API, it provides accurate language identification through a simple, intuitive web interface.

Quick Start

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Supported Languages

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API Reference

Explore the WebSocket API

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Key Features

Detect spoken languages in real-time using your microphone with WebSocket-based streaming for instant results.
Leverages OpenAI’s state-of-the-art Whisper model for highly accurate speech recognition and language identification.
Deploy anywhere with support for Docker, Kubernetes, EC2, and Render. Scale from development to production seamlessly.
Built-in server metrics and performance monitoring to track system health and optimize resource usage.

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How It Works

1

User speaks into microphone

The React frontend captures audio from the user’s microphone and streams it in real-time.
2

Audio is processed via WebSocket

Audio data is sent to the FastAPI backend over a WebSocket connection for low-latency processing.
3

Whisper analyzes the audio

The backend sends audio to OpenAI’s Whisper API, which transcribes and identifies the language.
4

Results displayed instantly

The detected language is returned to the frontend and displayed to the user with visual feedback.

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Architecture Overview

LangShazam consists of two main components:
  • Backend: FastAPI server with WebSocket support, audio processing, and OpenAI Whisper integration
  • Frontend: React-based web application with real-time audio capture and visual feedback

Learn More

Explore the complete architecture documentation

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Ready to Get Started?

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View on GitHub

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