Skip to main content

Voice-driven AI assistant with OpenAI GPT-4o integration and enhanced dark theme UI for improved readability.

Project description

VoxAI

PyPI version
License MIT

VoxAI Logo

🚀 Features

  • 🎧 System Audio Capture
    Captures clean audio from your computer (meetings, browser, apps) - no external microphone noise or room interference.
  • 🎮 Manual Control
    Start/Stop buttons let you define exactly the boundaries of your prompt—perfect for long, multi-sentence queries.
  • 🔄 Optimized Transcription
    Fast Whisper tiny model with GPU acceleration for near real-time speech-to-text processing.
  • ⚡ Live AI Streaming
    ChatGPT-like streaming responses with structured formatting, headings, and bullet points.
  • 🎯 Concise Technical Responses
    Structured responses with bullet points optimized for quick technical understanding.
  • 🔧 Configurable Model
    Swap between Gemini variants via environment (no code changes).
  • 🚀 Zero-Install UI Bootstrapping
    On first run voxai auto-installs Electron dependencies—included in the PyPI package—so you only ever need pip install voxai and voxai.
  • 🎨 Modern UI
    Beautiful gradient interface with real-time status indicators, typing animations, and professional styling.

🎯 Quickstart

⚙️ Prerequisites

  • Python ≥3.7
  • Node.js ≥14 (for Electron UI)

That's it! VoxAI automatically installs Electron dependencies on first run.

Important: VoxAI captures system audio only (meetings, browser, apps) - no external microphone.

Install & Run

1) Install from PyPI

pip install voxai

2) Configure environment

cp .env.example .env

Edit .env:

GENAI_API_KEY=sk-…

GENAI_MODEL=gemini-1.5-flash

3) Launch the app

voxai

On first launch, VoxAI will automatically run npm install inside its bundled electron/ folder, then open a desktop window.


📖 Usage

Once the UI opens:

Start: Click Start to begin recording.

Speak: Listen to question`s from zoom, teams or any other tool aloud—no length limit.

Stop: Click Stop. Whisper transcribes your entire clip to the Transcript pane.

Ask AI: Click Ask AI. Gemini’s answer streams live into the Answer pane.

Copy & Share: Everything is plain text—copy it, paste it, or feed it into your own RAG/finetuning pipeline.


🎧 How It Works

  • 🎤 Audio Source Detection
    VoxAI automatically detects your system audio setup and displays it in the beautiful UI with real-time status.

  • 🎬 Start Recording
    Click Start Recording to capture clean audio from your computer (meetings, browser, apps).

  • ✋ Stop & Transcribe
    Click Stop Recording. Whisper transcribes the entire audio clip and shows it under Transcript.

  • 🤖 Ask AI
    Click Ask AI to send the transcript to Gemini. Get ChatGPT-like streaming responses with structured formatting.

  • 📋 Copy & Share
    Professional responses with headings, bullet points, and technical depth—perfect for documentation or sharing.

🎨 Modern UI Features

  • 🌈 Beautiful Design: Gradient backgrounds with glassmorphism effects
  • 💫 Real-time Animations: Typing indicators, loading states, and smooth transitions
  • 📊 Status Indicators: Color-coded status dots (🟢 ready, 🔴 recording, 🟡 thinking)
  • 📱 Responsive Layout: Works perfectly on different screen sizes
  • 🎯 Professional Formatting: AI responses with headings, bullets, and technical structure

🛠 Configuration

Set in .env:

Variable Description Example
GENAI_API_KEY Google Generative AI (Gemini) API key sk-…
GENAI_MODEL Gemini model to use gemini-1.5-flash

See .env.example for reference.


🛠️ Developer Guide

Install from source

git clone https://github.com/rtiwariops/voxai.git

cd voxai

pip install -e .

npm install -g electron

voxai

🔧 System Audio Setup

VoxAI captures computer audio only (no microphone) - perfect for meeting recordings, browser audio, and app sounds without room noise.

macOS Setup

# 1. Install BlackHole
brew install blackhole-2ch

# 2. Install Ladiocast
# Download from: https://existential.audio/ladiocast/

Configure Ladiocast:

  1. Input 1: Set to your audio source (Built-in Input or system audio)
  2. Main: Route Input 1 to Main (for speakers)
  3. Aux 1: Set to BlackHole 2ch
  4. Enable: Route Input 1 to Aux 1

System Settings:

  • Input: BlackHole 2ch (VoxAI reads from here)
  • Output: Built-in Output (you hear from here)

Windows (Built-in)

WASAPI loopback support is built into Windows 10+ - VoxAI will auto-detect.

Linux (Built-in)

PulseAudio monitor devices are auto-detected - no setup needed.

Result: You hear audio through speakers + VoxAI captures clean computer audio.


⚙️ Features

  • Smart Cross-Platform Audio Detection
  • Manual Control for long-form Q&A
  • One-Shot, Full-Clip Transcription
  • Live Token-by-Token AI Streaming
  • Configurable Gemini Model (.env)
  • Electron-Based Desktop UI

📜 License

MIT License © 2025 Ravi (Robbie) Tiwari

Released under the MIT License.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

voxai-0.4.1.tar.gz (890.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

voxai-0.4.1-py3-none-any.whl (888.2 kB view details)

Uploaded Python 3

File details

Details for the file voxai-0.4.1.tar.gz.

File metadata

  • Download URL: voxai-0.4.1.tar.gz
  • Upload date:
  • Size: 890.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for voxai-0.4.1.tar.gz
Algorithm Hash digest
SHA256 e4dab313f4aa53a94548ab9e6bc01be16bf7c43058026d4c4454cce6583d6cc4
MD5 6ec66f6ab3881cd064abee0ded89c548
BLAKE2b-256 8b9530775b72b69e1cae064cf5c0ee796a2f64888f52afec78717ac669a5127c

See more details on using hashes here.

File details

Details for the file voxai-0.4.1-py3-none-any.whl.

File metadata

  • Download URL: voxai-0.4.1-py3-none-any.whl
  • Upload date:
  • Size: 888.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.7

File hashes

Hashes for voxai-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 9f2028202adc87abf55575adee9a0b6f335ed99182c545ac0d917fc447706b61
MD5 8f70b9431ea268fa7402a54e81e64100
BLAKE2b-256 e420c66b16a78ca27b81d933191934a34149f272d1bf6a93c692a2cc98d898b3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page