🎙️ transcribe - Convert audio to text with ease

Transcribe turns your audio and video files into written text. This application runs entirely on your computer. Your files stay on your machine, which protects your privacy and keeps your data secure. You do not need an internet connection to process your files.

📋 Features

• Offline processing: No cloud uploads required.
• High accuracy: Uses modern AI models for word-level precision.
• Format support: Works with common audio and video file types.
• Privacy focused: Files never leave your local hard drive.

💾 How to download and install

Follow these steps to set up the software on your Windows computer:

1. Visit the official download page to view the latest versions.
2. Look for the section marked Releases.
3. Find the file ending in .exe or .msi.
4. Click the file name to start the download.
5. Open your Downloads folder once the process finishes.
6. Double-click the installer file to start the setup wizard.
7. Follow the prompts on your screen to complete the installation.
8. Find the Transcribe icon on your desktop or start menu to launch the app.

⚙️ System requirements

Your computer needs to meet these basic standards to run the software:

• Operating System: Windows 10 or Windows 11.
• Memory: At least 8GB of RAM.
• Storage: 500MB of free disk space.
• Processor: A modern multi-core processor ensures faster transcription times.

💡 How to use the app

Once you open the application, the interface displays a simple workspace. Drag your audio or video file into the window to begin. The app identifies the speech in the file and converts it into text. You can watch the progress bar as the AI processes the audio. When the task finishes, you can save the resulting transcript as a plain text file or a document.

🛠️ Support

If you encounter issues during installation or usage, check the help sections on the project page. You can open a new issue if you find a bug or have questions about how the software works. Clear descriptions help the team solve problems faster.

Keywords: ai, ai-tools, audio, audio-processing, desktop-app, speech-to-text, transcription