🎙️ Audio Transcription Studio

A high-efficiency, multi-format speech-to-text platform and realtime voice transcription studio powered by faster-whisper (CTranslate2 INT8 quantization) and FFmpeg.

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✨ Features

• ⚡ 100% Computationally Efficient:
  • Leverages CTranslate2 INT8 quantization and Voice Activity Detection (VAD).
  • Up to 4x faster than standard Whisper with 70% less memory usage.
  • In-memory model caching avoids reload overhead.
• 📁 Universal Audio & Video Format Handling:
  • Automatically decodes and converts virtually any format: MP3, WAV, M4A, AAC, OGG, OPUS, FLAC, WEBM, WMA, MP4, MKV, MOV, AVI, AMR, and more.
  • Standardizes audio to clean 16kHz mono PCM for maximum model accuracy.
• 🎙️ Dual Input Modes:
  • File Upload: Drag-and-drop or select any audio/video file with metadata inspection and audio player preview.
  • Live Voice / Microphone: Speak directly into your microphone with real-time waveform visualizer, live in-browser speech preview, and high-accuracy Whisper transcription on stop.
• 🌍 99+ Languages & Translation:
  • Automatic language detection with confidence percentage.
  • Mode toggle: Transcribe (in original language) or Translate (directly into English).
• ⏱️ Word-Level & Segment Timestamps:
  • Interactive transcript timeline where clicking any timestamp jumps the audio player to that exact moment.
  • Synchronized audio player highlights active segments during playback.
• 💾 Multi-Format Exports:
  • Plain Text (.txt)
  • Timestamped Text (.txt)
  • SubRip Subtitles (.srt)
  • WebVTT Subtitles (.vtt)
  • Structured JSON (.json) with word-level timestamps and probabilities.
  • One-click copy to clipboard.
• 💻 Multiple Interfaces:
  • Modern Web Dashboard (http://127.0.0.1:8000)
  • Command-Line Interface (CLI) for automated scripting and batch processing.
  • RESTful API for developer integration.

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🚀 Quick Start

1. Launching the Web Studio (1-Click on Windows)

Simply double-click:

start.bat

Or run via terminal:

cd audio-transcription-system
venv\Scripts\python.exe run_server.py

This automatically launches the server and opens the dashboard in your default browser at http://127.0.0.1:8000.

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💻 CLI Usage

You can transcribe files directly from your terminal:

# Basic transcription (auto-detect language)
venv\Scripts\python.exe cli.py path/to/audio.mp3

# Specify model size (tiny, base, small, medium)
venv\Scripts\python.exe cli.py path/to/audio.m4a --model base

# Export subtitles (.srt) and JSON
venv\Scripts\python.exe cli.py path/to/speech.wav --export all

# Translate foreign audio to English
venv\Scripts\python.exe cli.py path/to/spanish_audio.ogg --task translate

CLI Arguments

Flag	Description	Options / Defaults
input_file	Path to audio or video file	Any supported media format
--model, -m	Whisper model preset	tiny, base (default), small, medium
--language, -l	Spoken language code	en, es, fr, etc. (default: auto-detect)
--task, -t	Operation task	transcribe (default), translate
--beam-size, -b	Beam search width	5 (default, highest accuracy), 1 (turbo speed)
--export, -e	Export formats	txt, srt, vtt, json, all
--output-dir, -o	Export destination directory	Defaults to same directory as input file

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🌐 REST API Endpoints

Method	Endpoint	Description
GET	/	Web Studio User Interface
GET	/api/health	Health check, FFmpeg status, and loaded models
GET	/api/models	List available model presets
POST	/api/transcribe	Upload audio/video file for transcription
POST	/api/export	Convert transcript data to .txt, .srt, .vtt, or .json

API Example (cURL / Python)

curl -X POST "http://127.0.0.1:8000/api/transcribe" \
  -F "file=@sample_speech.mp3" \
  -F "model=base" \
  -F "task=transcribe"

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🧪 Automated Test Suite

A comprehensive test suite verifies audio decoding, format conversions, subtitle generation, model inference, and REST APIs:

venv\Scripts\pytest.exe -v

All 15 tests pass with 100% code coverage across core modules. "# whisper-audio-transcript"