Quick overview
Quick overview This workflow exposes a webhook that generates a punchline-first YouTube Shorts script with OpenAI, turns it into an MP3 voiceover using OpenAI Text-to-Speech, then transcribes that audio with Whisper to return word-timed SRT captions plus the audio as base64. How it works Receives a POST webhook request with a topic plus optional word count and OpenAI TTS voice. Calls the OpenAI Chat Completions API (gpt-4o-mini) to generate a short CLAIM → PROOF → ESCALATION script. Extracts the script text from the OpenAI response and validates it is not empty. Sends the script to the OpenAI Text-to-Speech API (tts-1) to generate an MP3 narration. Uploads the MP3 to the OpenAI Whisper transcription API (whisper-1) to get word-level timestamps. Builds an SRT file by chunking timed words into short caption cues and responds to the webhook with {script, srt, audioBase64, durationSeconds}. Setup Create an OpenAI credential in n8n with your OpenAI API key and select it for the three OpenAI HTTP requests (Chat Completions, Text-to-Speech, and Transcriptions). Activate the workflow and copy the webhook URL, then POST JSON containing at least a "topic" (optionally "words" and "voice") from your client or source app. If you want to store the MP3 instead of returning it inline, add a file or cloud storage node after audio generation or after transcription and map the binary audio accordingly. An n8n automation workflow template by Foldworks Studio LLC.
Foldworks Studio LLC
web
free
Others in the same category, ranked by how often they are opened.
