The Voice-to-Text Summarization Tool is an innovative application designed to capture audio inputs, transcribe them into text, and generate concise summaries. Built entirely using open-source tools and models, this project aims to streamline the process of recording and reviewing meetings, lectures, or any spoken content. The tool provides an efficient way to convert lengthy audio files into easily digestible text summaries, making it an invaluable resource for professionals, students, and anyone needing quick insights from verbal content.
- Real-Time Audio Recording: Capture live audio directly from your device's microphone.
- Speech-to-Text Conversion: Utilize cutting-edge speech recognition models like Whisper to accurately transcribe spoken words into text.
- Text Summarization: Automatically generate concise summaries of the transcribed text using powerful language models.
- User-Friendly Interface: The tool includes a simple, intuitive GUI that allows users to start recording, view transcriptions, and see summaries at the click of a button.
- Cross-Platform Compatibility: Available as a standalone Python application with potential future expansion into a web-based or Chrome extension version.