OpenAI and Spotify integration

Turn a song into a ready-to-hang poster, by using Musixmatch and AI This n8n workflow turns a song title and artist name into a gallery-ready poster by combining Musixmatch lyric intelligence with a tightly controlled AI art direction pipeline. At its core, Musixmatch is used to identify the correct song and retrieve official lyrics, which then drive a highly curated image-generation prompt and final poster artwork. What this workflow does Trigger via chat The workflow starts when a chat message is received. The user provides a song title and artist name. Identify the correct track with Musixmatch The Musixmatch “Match track by metadata” node is used to: Resolve ambiguities in song titles Confirm the correct track Retrieve a stable commontrack_id This ensures all downstream steps reference the correct song. Retrieve full lyrics from Musixmatch Using the confirmed commontrack_id, the Musixmatch lyrics endpoint fetches the official song lyrics. Lyrics are treated as authoritative source material for creative interpretation. AI Agent selects and interprets a lyric A dedicated AI Agent: Selects one single-line lyric (strictly enforced constraints) Analyzes its emotional and thematic meaning Interprets mood, tension, and implied narrative The lyric becomes the conceptual anchor of the poster. AI Agent constructs a high-fidelity image prompt The agent outputs a fully structured, production-ready image-generation prompt including: Song metadata (reference only) Emotional interpretation Visual style choice Composition and layout rules Typography and legibility constraints Quality and design guardrails No drafts, explanations, or partial output are allowed. Generate the final poster image The completed prompt is passed directly to the image generation node. The result is a high-resolution, A4 portrait poster designed to feel intentional, modern, and gallery-ready. Output A single poster image (1024×1536, A4 portrait ratio) Features: One carefully chosen lyric line Clean, modern typography High-end contemporary poster design Subtle film grain Fully legible text and metadata Requirements Musixmatch API credentials** Track matching and lyric retrieval OpenAI API credentials** Language model for creative direction Image model for poster generation Use cases Creating lyric posters for personal collections Album or song promotion visuals Editorial or social media artwork Print-ready music-inspired posters Exploring visual interpretations of song lyrics

This n8n workflow recommends Taiwan indie music based on a user's city, mood, birthday, today's weather, and star sign. Here's a concise overview: Trigger: Starts manually with the "When clicking ‘Test workflow’" node. Input Setup: The "infomation" node sets user inputs (e.g., city: Taipei, mood: Happy, birthday: 1996/11/21). Song Recommendation: The "get song recommendation" node uses OpenAI's GPT-4o-mini to: Fetch today's weather for the specified city. Determine the user's zodiac sign from their birthday. Check the zodiac sign's daily fortune. Recommend a Taiwan indie song considering weather and fortune. Explain the song choice and highlight its features. Return results in JSON format. Data Extraction: The "Information Extractor" node parses the JSON output, extracting fields like date, city, weather, zodiac sign, fortune, song, artist, and additional info. Spotify Search: The "Spotify" node searches for the recommended song using the artist and song name, retrieving a Spotify URL. Final Output: The "Final Output" node compiles all data, including the Spotify link, into a structured format. Additional Note: A "Sticky Note" provides context about the workflow's purpose and credits the creator, n8nguide. This workflow integrates AI, weather data, astrology, and Spotify to deliver personalized Taiwan indie music recommendations.

Who is this for Space Enthusiasts & Music Lovers**: Discover new music paired with stunning cosmic visuals. Community Managers**: specific Slack channels with engaging, creative daily content. n8n Learners**: Learn how to chain Image Analysis (Vision), Logic, and API integrations (Spotify/Slack). How it works Schedule: The workflow runs every night at 10 PM. Mood Logic: It checks the day of the week to adjust the energy level (e.g., higher energy for Friday nights, calmer vibes for Mondays). Visual Analysis: OpenAI (GPT-4o) analyzes the NASA APOD image to determine its color palette, mood, and subject matter, converting these into musical parameters (Valence, Energy). Curation: Spotify searches for a track that matches these specific parameters. Creative Writing: OpenAI generates a short poem or caption linking the image to the song. Delivery: The image, track link, and poem are posted to Slack, and the track is automatically saved to a designated Spotify Playlist. Requirements NASA API Key** (Free) OpenAI API Key** (Must have access to GPT-4o model) Spotify Developer Credentials** (Client ID and Client Secret) Slack** Workspace and Bot Token How to set up Set up your credentials for NASA, OpenAI, Spotify, and Slack in n8n. Create a specific Playlist in Spotify and copy its Playlist ID. Copy the Channel ID from the Slack channel where you want to post. Paste these IDs into the respective nodes (marked with <PLACEHOLDER>) or use the Set Fields node to manage them globally.

Search music and play to Spotify from Telegram This workflow is a simple demonstration on accessing a message model from Telegram and it makes searching for songs an easy task even if you can't remember the artist or song name. An OpenAI message model tries to figure out the song and sends it to an active Spotify device**. Use case Imagine an office where you play music in the background and the employees can control the music without having to login to the playing account. How it works You describe the song in Telegram. Telegram bot sends the text to n8n. An OpenAI message model tries to find the song. Spotify gets the search query string. First match is then added to queue. -- If there is no match a message is sent to Telegram and the process ends. We change to the next track in the list. We make sure the song starts playing by trying to resume. We fetch the currently playing track. We return "now playing" information to Telegram: Song Name - Artist Name - Album Name. Error handling Every Spotify step has it's on error handler under settings where we output the error. Message parser receives the error and sends it to Telegram. Requirements Active workflow* OpenAI API key Telegram bot Spotify account and Oauth2 API Spotify active on a device** .* The Telegram trigger is activated only if this workflow is active. You can however TEST the workflow in the editor by clicking "Test step" and then it waits for the Telegram event. When event is received, just step through all steps or just clicking "Test step" on the "Fetch Now Playing" node. .** You must have a Spotify device active when trying to communicate with a device. Open Spotify and play something - not it is active.