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Library / Translation & Language

Translation & Language

Translate Audio and Speak It Back with OpenAI

When a webhook receives an audio file, the workflow transcribes it, translates and structures the text with OpenAI, creates speech audio in AWS S3 and returns the results.

What it does

## AI Audio Translator with Text-to-Speech This workflow automatically transcribes audio files, translates the content between languages, and generates speech from the translated text. ### Who's it for - Content creators working with multilingual content - Businesses needing audio translation services - Educational platforms with international audiences - Anyone needing quick audio-to-audio translation ### How it works 1. Receive audio file via webhook with language parameters 2. Transcribe audio to text using OpenAI Whisper 3. Translate and structure the text using GPT-4 4. Generate speech from translated text 5. Upload to S3 for storage and delivery 6. Return results with both text versions and audio URL ### How to set up 1. Create OpenAI API credentials 2. Set up AWS S3 bucket with public read permissions 3. Configure webhook path 4. Test with POST request containing: - Audio file (binary) - Languages parameter (e.g., "English, Spanish") ### Requirements - OpenAI API key (for Whisper and GPT-4) - AWS account with S3 access - S3 bucket for audio storage ### How to customize - Change GPT model for different translation quality - Adjust voice settings in text-to-speech - Add language detection if source unknown - Implement file size limits - Add webhook authentication

The steps

  1. Receive Audio File
  2. Transcribe Audio to Text
  3. Translate and Structure Text
  4. Send Translation Results
  5. Prepare Response Data
  6. Generate Translated Audio
  7. Upload Audio to S3

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