Transcribe & Translate Audio Between Languages with OpenAI & S3 Storage

This n8n workflow receives audio files via webhook, transcribes them accurately using OpenAI's Whisper model, translates the transcribed text between specified languages with GPT-4 for natural fluency, and synthesizes new speech audio using text-to-speech. The translated audio is uploaded to AWS S3 for persistent storage and public access, returning both text outputs and a direct URL to the new audio file. The process is seamless, handling everything from input to delivery in seconds.

Ideal for content creators, educators, businesses, and global teams needing multilingual audio accessibility. Use cases include translating podcasts, voice notes, lectures, meetings, or customer service calls to reach wider audiences without manual effort. It preserves the spoken format while breaking language barriers, saving hours of work and enhancing communication.

Benefits include high accuracy from state-of-the-art AI, scalability for high volumes, cost-efficiency via API integrations, and easy integration into apps or services via webhook. No coding required beyond credential setup.

Setup involves adding OpenAI API key, configuring S3 bucket with public read access, updating bucket name, and deploying the webhook. Customize by adding language detection, voice tweaks, file validations, or security features.