The Audio Transcribe AI project is a seamless, user-friendly application that transforms audio files into accurate transcriptions using OpenAI’s Whisper model. Designed with accessibility and performance in mind, it features a modern React-Vite frontend paired with a powerful Spring Boot backend. The application allows users to upload audio files, which are processed through Whisper’s robust speech recognition capabilities to generate clean, readable transcripts. This project highlights the potential of integrating advanced AI models into real-world solutions that simplify tasks like documentation, accessibility support, and content creation.
Frontend (React + Vite):
Users interact with an intuitive interface that allows them to upload audio files and view transcriptions. The UI updates dynamically to reflect file selection and transcription progress.
Backend (Spring Boot):
The backend handles API requests from the frontend. When a user uploads an audio file, the backend sends this to OpenAI’s Whisper API and retrieves the transcription result.
Transcription Engine (OpenAI Whisper):
Whisper processes the audio using its deep learning-based speech recognition engine. It supports multiple languages and provides highly accurate results even in noisy environments.
Integration Flow:
Audio file is uploaded via the frontend.
File is sent to the backend using a multipart/form-data POST request.
Backend calls the Whisper API and returns the transcribed text to the frontend.
The transcription result is displayed in a styled output box for the user.
The application was tested with a range of audio files, including clear speech, moderate background noise, and varied accents. In all cases, the Whisper model produced reliable transcriptions with minimal errors. The user experience is smooth and has a responsive interface, with transcription results delivered in under a minute for typical audio lengths. The modular architecture allows for easy scalability, future enhancements like translation, and deployment in accessibility-focused tools, customer service automation, and educational platforms.
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