OpenAI Examples: ChatGPT, DALL-E-2, Whisper – 5-in-1 Demo
Multi-branch n8n workflow showcasing 5 OpenAI API examples: Whisper transcription, ChatGPT completions, edits, prompt chaining, and multi-response generation.
This comprehensive n8n workflow serves as a primer for integrating OpenAI's powerful models including ChatGPT, DALL-E-2, and Whisper-1. It features five distinct examples across multiple branches: (1) Transcribe audio to text using Whisper (disabled by default for custom MP3 input); (2) Legacy text-davinci-003 completions; (3) Simple ChatGPT text completion and editing; (4) Structured system/user/assistant messages; and (5) Advanced prompt chaining via Code node, code generation, and multi-answer outputs for selective responses.
Users execute individual branches via the manual trigger to avoid slow full-run times, making it efficient for testing. Benefits include rapid prototyping of AI features, deep understanding of OpenAI parameters like maxTokens and message roles, and reusable patterns for text generation, summarization (e.g., 'Tl;dr'), and more.
Ideal use cases span content creation (summaries, code gen), voice apps (transcription), conversational AI (chatbots), and creative tools (image gen via DALL-E). Save hours learning OpenAI in n8n; customize for production bots, assistants, or data processing pipelines. Note: Requires OpenAI credentials.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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