This workflow automates the process of transcribing audio files, translating the content between languages, and generating speech from the translated text. It is ideal for content creators, businesses, and educational platforms that require multilingual audio content. The process begins with receiving an audio file via webhook, then transcribes the speech into text using OpenAI Whisper. Next, GPT-4 structures and translates the text into a target language. The translated text is converted into speech using OpenAI’s text-to-speech capabilities. Finally, the audio file is uploaded to AWS S3 for storage and shared through a generated URL, alongside the translated text. This workflow streamlines multilingual audio content creation, making it faster and more efficient.
AI Audio Translator with Text-to-Speech
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.openAi, awsS3, respondToWebhook, set, stickyNote, webhook |
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