This n8n workflow automates the process of transcribing YouTube videos and delivering the text content directly through chat messages. Designed for users seeking quick access to video transcriptions, it streamlines extracting and structuring video content for easier review and analysis.

The workflow begins with a webhook trigger that listens for chat messages containing a YouTube video URL. Upon receiving a URL, a Python script node validates the URL to ensure it’s a proper YouTube link by checking its format and extracting the video ID. If the URL is valid, the workflow proceeds; otherwise, it responds with an error message.

Next, the workflow makes an HTTP request to the Supadata API, passing the validated YouTube URL to obtain a transcription of the video’s content. This API call requires an API key and is configured to wait for the response.

Once the transcription data is retrieved, it is processed by an OpenAI GPT model (GPT-4) to improve the grammar, punctuation, and organization of the text, ensuring it is clear and easy to read. The processed content is then formatted and sent back as a chat response, making the transcription instantly accessible.

This workflow is particularly useful for students, researchers, or content creators who need quick summaries or transcripts of YouTube videos without watching the entire video. It simplifies content extraction, saves time, and enhances productivity in content review and analysis.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.chatTrigger, @n8n/n8n-nodes-langchain.openAi, code, httpRequest, if, respondToWebhook, set, stickyNote