• Riya
• Sampritha S
• Shilpa
• Shreya Gautam
• Ancy Thomas

This paper introduces an advanced web-based plat- form designed to revolutionize speech translation and transcrip- tion. By leveraging the capabilities of OpenAI Whisper, the platform achieves high-accuracy transcription of spoken content, even in acoustically challenging environments. Whisper’s robust multilingual support ensures reliable speech-to-text conversion across diverse languages and accents. The transcribed text is fur- ther processed using the Google Translate API, enabling seamless translation into multiple target languages, which is invaluable for fostering cross-linguistic communication in educational and professional contexts.To enhance accessibility, the Google Text-to- Speech (gTTS) module converts the translated text into natural- sounding audio, providing users with both visual and auditory outputs. The platform incorporates secure user authentication to safeguard user data and interactions, allowing users to input speech, view transcriptions and translations, and download processed audio files with confidence.The backend infrastructure is powered by MySQL, which efficiently manages the storage of audio files and metadata, ensuring streamlined data retrieval and scalability. This integration of cutting-edge AI technologies, intuitive design, and robust data management establishes a comprehensive solution for speech translation and transcription, making it an essential tool for global communication.

Speech-to-text, Whisper AI, multilingual trans- lation, gTTS, real-time transcription, NLP, user authentication, MySQL.

"REAL TIME SPEECH TRANSCRIPTION AND TRANSLATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.a391-a395, February-2025, Available :http://www.jetir.org/papers/JETIR2502048.pdf

"REAL TIME SPEECH TRANSCRIPTION AND TRANSLATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. ppa391-a395, February-2025, Available at : http://www.jetir.org/papers/JETIR2502048.pdf