AI Audio Translator with Text-to-Speech: Effortless Multilingual Audio Conversion
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Automate the transcription, translation, and speech generation of your audio content. This powerful workflow leverages AI to convert spoken words into accurate text, translate them into your desired languages, and then synthesize them into natural-sounding speech, all while structuring the content for clarity.
About This Workflow
This n8n workflow revolutionizes how you handle multilingual audio. It's designed to ingest audio files, transcribe them accurately using OpenAI's advanced Whisper model, and then process the text with GPT-4 for intelligent structuring, de-duplication, and translation. Finally, it converts the translated text back into speech using text-to-speech technology and stores the resulting audio in an S3 bucket, providing a shareable URL. Ideal for content creators, global businesses, and educational platforms seeking to break language barriers and expand their reach.
Key Features
- Automated Transcription: Converts spoken audio into text with high accuracy.
- Intelligent Translation & Structuring: Uses GPT-4 to refine text, remove redundancies, and translate to your target language.
- Text-to-Speech Synthesis: Generates natural-sounding audio from the translated text.
- Cloud Storage Integration: Seamlessly uploads generated audio to AWS S3 for easy access and sharing.
- API-Driven Workflow: Trigger the entire process via a simple webhook.
How To Use
- Configure Webhook: Set up the 'Receive Audio File' node with your desired webhook path (e.g.,
/audio-translator). Ensure it accepts POST requests. - Set Up AI Credentials: Provide your OpenAI API key in the 'OpenAi account' credentials section for both the transcription and translation nodes.
- Configure AWS S3: In the 'Upload Audio to S3' node, replace
YOUR-BUCKET-NAMEandYOUR-REGIONwith your actual AWS S3 bucket details. Ensure your bucket has public read permissions enabled. - Define Languages: When sending an audio file to the webhook, include a
languagesparameter in the request body (e.g.,"languages": "English, Spanish"). - Send Audio: Make a POST request to your webhook URL with the audio file as binary data and the languages parameter.
- Receive Output: The workflow will respond with a JSON object containing the structured original text, the translated text, and a URL to the generated translated audio file stored in your S3 bucket.
Apps Used
Workflow JSON
{
"id": "7d48167b-c25f-4152-9957-e61b5ef411a4",
"name": "AI Audio Translator with Text-to-Speech: Effortless Multilingual Audio Conversion",
"nodes": 16,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 7d48167b-c25f...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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