This n8n workflow automates the process of transcribing YouTube videos and structuring the content for easy review and analysis. It is designed for users who need quick access to video transcripts without watching the entire video, making it ideal for research, content summaries, or study purposes.
The workflow begins with a webhook trigger, where it waits for a user to submit a YouTube video URL through a chat message. The URL is validated using a Python code node that checks the format and extracts the video ID to ensure it’s a valid YouTube link.
If the URL is valid, the workflow proceeds to fetch the transcript of the video using the Supadata API, which extracts the transcription data efficiently. This step requires an API key and the API endpoint configured for YouTube transcript retrieval.
The transcript is then sent to OpenAI’s GPT model to correct grammar and structure the text with proper punctuation in Portuguese. The processed content is organized using markdown formatting for clarity.
The final step involves responding back to the chat with the structured, corrected transcript or an error message if the process fails at any point.
This workflow is particularly useful for educational, research, or content creation scenarios where quick, accurate transcriptions of YouTube videos can enhance productivity and understanding.
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