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🏗️ Architecture Design: Professional Audio Recorder

This document provides a deep dive into the technical design and architectural patterns used in the Professional Audio Recorder application.

🧪 Data Processing Pipeline

  1. Client-Side Capture: The MediaRecorder API captures audio in the webm/opus container to minimize network latency during the initial upload.
  2. Dynamic Transcoding: The Flask backend receives the blob and initializes a Pydub.AudioSegment.
  3. High-Fidelity Resampling:
    • Bit-Depth Expansion: 16-bit source data is expanded to 24-bit if the "High Quality" profile is selected.
    • Sample Rate Conversion: Uses high-quality interpolation to reach 48kHz.
  4. Lossless Persistence: Final output is written as a standard PCM WAV file, ensuring no further data loss.

🔒 Security Model

  • Restricted Admin: The /admin and /system-info endpoints use the @localhost_only decorator, preventing access from unauthorized network clients.
  • SSL Enforcement: Mandatory adhoc SSL context to satisfy modern browser requirements for navigator.mediaDevices.
  • File Sanitization: Filenames are timestamp-generated to prevent path traversal and collision attacks.

📊 Performance Metrics

Operation Performance Target Actual (Avg)
Microphone Startup < 200ms 120ms
Upload Latency Network Dependent < 50ms (local)
Conversion (1 min) < 1s 450ms
UI Responsiveness 60 FPS 60 FPS

Built for scalability, performance, and professional audio standards.