WinSTT – Offline Speech-to-Text App Download for Windows Made Using OpenAI Whisper

File Information

Description

WinSTT AI is a lightweight desktop application designed to bring accurate & efficient speech-to-text (STT) capabilities to Windows users by leveraging OpenAI’s Whisper model. Unlike traditional speech recognition tools that rely on cloud processing, WinSTT runs completely offline, providing users with both privacy & performance.

The app integrates seamlessly with your desktop environment, allowing you to dictate into any active application. From writing emails & articles to capturing notes or holding live conversations, WinSTT is engineered for real-time voice typing with minimal latency. It supports over 99 languages & dialects, making it a highly versatile tool for multilingual users.

One of the core advantages of WinSTT is its customizable hotkey system, which allows quick activation from anywhere on your desktop. Users can toggle voice input without leaving their workflow. The transcription quality is powered by Whisper’s deep learning model, trained on vast multilingual datasets, ensuring robust performance even in noisy environments.

For professionals, content creators, students, or individuals looking to improve productivity without compromising data privacy, WinSTT offers a powerful alternative to cloud-based STT tools. The application is also open-source, giving developers & researchers full control to customize or contribute to its evolution.

Features of WinSTT

• Offline Speech-to-Text: No internet connection required; runs entirely on your machine using OpenAI Whisper.
• Application-Agnostic Input: Transcribes directly into any text field across Windows — from browsers & editors to chat windows.
• Hotkey Activation: Global hotkey setup for quickly starting or stopping voice transcription.
• Multi-language Support: Recognizes speech in over 99 languages, including regional dialects.
• Supports Whisper Model Variants: Use smaller models for faster speed or the large-v2 model for maximum accuracy.
• Open Source: Built under the MIT License. Transparent & customizable.
• No Tracking or Ads: Designed for privacy-conscious users with a minimal interface.

Screenshots

System Requirements

How To Install ??

Precompiled Binary (Recommended for Windows Users)

For most users, the easiest way to get started with WinSTT is to download the precompiled .exe binary. This version is ideal if you want a quick setup without dealing with source code, Python, or external dependencies.

Steps:

1. Download the latest WinSTT.exe file by scrolling to the Download Section at the bottom of this page.
2. Double-click WinSTT.exe to launch the application.
3. Set your preferred hotkey for voice transcription.
4. Hold the hotkey to speak. Release it to insert the transcribed text into any active text field.

Note: On first launch, the application will download Whisper model files (1–3 GB). An internet connection is required for this one-time setup. Once downloaded, no internet is needed unless you change the model.

Developer Setup (For Contributors & Advanced Users)

If you prefer full control or want to contribute to development, you can set up WinSTT from source using uv for dependency management.

Prerequisites

• Python 3.11 or newer
• Git
• uv (a modern alternative to pip + virtualenv)

Install uv:

# Windows PowerShell
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

# Or via pip
pip install uv

Clone the Repository

git clone https://github.com/dahshury/WinSTT
cd WinSTT

Install Dependencies

Choose the setup that fits your system:

• CPU-only (recommended for most users) bashCopyEdituv sync --extra cpu
• GPU acceleration (NVIDIA CUDA support required) bashCopyEdituv sync --extra gpu
• Development (CPU) bashCopyEdituv sync --extra dev --extra cpu
• Development (GPU) bashCopyEdituv sync --extra dev --extra gpu

Linux users may require additional setup for PyAudio.

Start the App

• Recommended method with loading screen: bashCopyEdituv run python src/main_async.py
• Alternate standard version: bashCopyEdituv run python src/main.py
• Activate manually: bashCopyEditsource .venv/bin/activate # Linux/macOS # .venv\Scripts\activate # Windows python src/main_async.py

Use main_async.py for better user experience with a visible loading screen.

Build an Executable (Optional)

uv sync --extra build
uv run pyinstaller --onefile src/main.py

Update Dependencies

uv lock --upgrade
uv sync

Usage Instructions

• Hold the recording hotkey (default: Alt + Ctrl + A) to start dictation.
• Release the key to stop recording & paste transcribed text into the active field.
• You can change the hotkey by clicking “Record Key” in the app and selecting your preferred key combination.
• On first use, model files are downloaded automatically.
• CPU mode runs Whisper-Turbo (quantized) by default. GPU mode uses full Whisper for better accuracy & speed.
• Minimum recording length is 0.5 seconds. Shorter audio will be ignored.

Troubleshooting

White Screen on Startup

• Use async version: bashCopyEdituv run python src/main_async.py
• Or test UI only: bashCopyEdituv run python src/main_minimal.py

Common Issues

Logs & Debugging

• Review logs in the log/ directory.
• Run test scripts and include output when reporting issues.

WinSTT AI – Fast, Offline Speech-to-Text for Windows Using OpenAI Whisper