Case Study

Real-Time Audio Recording &
Live Transcription Platform

Browser-based real-time speech-to-text with WebSocket/WebRTC streaming, multi-provider integration, and enterprise-grade accuracy

<500ms
Low Latency
3 Engines
Multi-Provider
95%+
Accuracy

Business Context

Organizations increasingly need to capture live conversations and convert speech into accurate, readable text in real time

Industry
Communication & Productivity
Use Cases
Meetings, Interviews, Voice Notes
Challenge
Real-Time Transcription at Scale
Growth
100K+ Hours Transcribed

The Problem

Traditional batch transcription solutions fail to meet real-time, interactive, and scalable requirements. Organizations needed a platform that could:

  • Capture live conversations (meetings, interviews, voice notes, customer calls)
  • Convert speech into accurate, readable text in real time
  • Store audio recordings and transcripts securely
  • Support multiple transcription engines for accuracy, cost, and redundancy
  • Deliver low-latency transcription in web applications

Technical Challenges

Six critical challenges in building an enterprise-grade real-time transcription platform

Low-Latency Requirements

Achieving sub-500ms latency for live transcription while maintaining accuracy across different audio qualities and accents.

Real-Time Streaming

Implementing efficient WebSocket and WebRTC protocols for continuous audio streaming from browser to backend.

Multi-Provider Integration

Seamlessly integrating Azure Speech SDK, AssemblyAI, and ElevenLabs with fallback mechanisms for reliability.

Browser Audio Capture

Capturing high-quality audio at 16kHz mono from various devices and browsers with consistent quality.

Session Management

Managing long-running transcription sessions with graceful recovery from network interruptions and reconnections.

Audio Storage Optimization

Converting and storing audio efficiently as MP3 while maintaining quality and linking with transcript sessions.

The Solution

A browser-based, real-time audio capture and transcription system with enterprise-grade capabilities

Audio Recording & Capture

  • •Direct browser microphone access with Web Audio API
  • •Configured at 16 kHz, mono for optimal transcription
  • •Continuous audio chunk streaming during recording
  • •Final audio converted and saved as MP3

Live Transcription

  • •Near real-time text output displayed as user speaks
  • •Automatic punctuation and formatting
  • •Support for long-running sessions
  • •Speaker-friendly readable transcript generation

Multi-Provider Integration

  • •Azure Speech SDK: Enterprise-grade accuracy and low latency
  • •AssemblyAI: Advanced noise handling and filler-word removal
  • •ElevenLabs: High-quality speech processing
  • •Provider switching and fallback for reliability

Real-Time Streaming

  • •WebSocket: Bi-directional audio and transcript streaming
  • •WebRTC: Efficient real-time audio transport
  • •Low-latency updates to UI
  • •Reduced network overhead for long sessions

Audio Storage & Playback

  • •Recorded audio converted to MP3 format
  • •Audio files linked with transcript sessions
  • •Playback, review, and export capabilities
  • •Optimized storage footprint

Session Management

  • •Session-based authentication
  • •Graceful handling of network interruptions
  • •Accurate transcript recovery after reconnects
  • •Provider-level failover mechanisms

Results & Impact

Measurable outcomes demonstrating platform performance and reliability

<500ms
Transcription Latency

Real-time transcription with sub-500ms latency for live speech

95%+
Transcription Accuracy

High accuracy using multiple speech-to-text engines

100K+
Hours Transcribed

Successfully processed over 100,000 hours of audio

Multi-Language
Language Support

Support for multiple languages with Azure and AssemblyAI

<5s
Session Start Time

Fast session initialization and audio capture startup

99.9%
Uptime

Reliable service with provider failover mechanisms

System Architecture

Four-layer architecture for real-time audio capture, streaming, and transcription

Frontend

  • →Browser Microphone Access
  • →Web Audio API for Capture
  • →Live Transcript Rendering
  • →WebSocket/WebRTC Streaming

Backend

  • →Real-Time Streaming Services
  • →Audio Stream Router
  • →Transcript Aggregation
  • →MP3 Conversion & Storage

Speech Providers

  • →Azure Speech SDK
  • →AssemblyAI
  • →ElevenLabs
  • →Provider Failover Logic

Storage

  • →Audio Files (MP3)
  • →Transcripts & Metadata
  • →Session Indexing
  • →User Data

Technology Stack

Frontend

  • Web Audio API
  • WebSocket
  • WebRTC
  • React

Backend

  • Real-Time Streaming
  • Node.js/FastAPI
  • WebSocket Server

Speech-to-Text

  • Azure Speech SDK
  • AssemblyAI
  • ElevenLabs

Infrastructure

  • Azure/AWS
  • MP3 Encoding
  • Secure Channels

Business Impact

Real value delivered through modern, scalable, and flexible transcription infrastructure

Real-Time Performance

Low-latency transcription enabling live interactive applications and instant feedback

High Accuracy

Multiple speech engines ensure enterprise-grade accuracy with provider-level redundancy

Multi-Language Ready

Support for global use cases with strong multilingual capabilities across all providers

Scalable & Reliable

Handles high-volume sessions with graceful failover and optimized storage footprint

Use Cases

Meeting Transcription
Voice Notes & Dictation
Interviews & Podcasts
Customer Support Analysis
Voice-Driven Applications
Real-Time Subtitling

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