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Create hours-long wave music videos with Suno, ffmpeg-api and YouTube

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Create hours-long wave music videos with Suno, ffmpeg-api and YouTube preview
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1. Workflow Overview

Overview This workflow automatically creates hours long wave music videos by combining AI generated music from Suno with a background video, fully automated using n8n and ffmpeg api . It connects m...

Best for

  • Content Creation automation workflows
  • Multimodal AI automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.formtrigger, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.splitout, n8n-nodes-base.wait

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by giangxai.

Original n8n.io source

1.1 Workflow description

Title
Create hours-long wave music videos with Suno, ffmpeg-api and YouTube
Workflow name
Create hours-long wave music videos with Suno, ffmpeg-api and YouTube

Overview

This workflow automatically creates hours-long wave music videos by combining AI-generated music from Suno with a background video, fully automated using n8n and ffmpeg-api.

It connects music prompt generation, AI song creation, audio aggregation, video merging, and YouTube publishing into a single end-to-end automation. Once configured, the workflow runs continuously with no manual editing required.

This workflow is built for creators producing lo-fi, wave, ambient, or long-play music content who want a reliable and scalable way to generate long-form videos automatically.


What can this workflow do?

  • Collect music themes, background video URLs, and track counts via an input form
  • Generate multiple AI music tracks using Suno
  • Automatically check rendering status and retrieve completed songs
  • Concatenate multiple tracks into a single long-form audio file
  • Merge the final audio with a background video using ffmpeg-api
  • Upload the completed video to YouTube automatically
  • Generate SEO-optimized titles and descriptions using an AI model

This workflow reduces manual work while keeping the entire music video production process structured and repeatable.


How it works

You start by submitting a music theme, a background video URL, and the number of music tracks through an n8n form. The workflow initializes a working directory using ffmpeg-api to manage all audio and video assets.

An AI agent converts the music theme into structured Suno prompts. Suno then generates multiple music tracks, and the workflow continuously checks their rendering status until all songs are ready.

Once completed, the songs are downloaded, uploaded to ffmpeg-api storage, and concatenated into a single long-form audio track. This audio is merged with the background video to create the final hours-long wave music video.

Finally, the completed video is uploaded to YouTube. An AI model generates SEO-friendly metadata, and the video is published automatically without manual intervention.


Setup steps

  1. Connect an AI model (Gemini) for music prompt generation and YouTube metadata creation
  2. Configure Suno API access for AI music generation
  3. Set up ffmpeg-api for directory creation, file uploads, audio concatenation, and video merging
  4. Connect your YouTube account for automated uploads
  5. Review and customize the input form fields if needed

After setup, the workflow runs end to end automatically.


Documentation

For a full walkthrough and advanced customization ideas, watch the detailed tutorial on YouTube.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 2 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 3 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 4 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 5 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 6 - Suno Wave Music Input Form

Type / Role
n8n-nodes-base.formTrigger - formTrigger
Config choices
Version 2.3

Block 7 - Create Working Directory (ffmpeg-api)

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.3

Block 8 - Prepare Video Path (ffmpeg-api)

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.3

Block 9 - Download Background Video

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.3

Block 10 - Upload Video to Workspace (ffmpeg-api)

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.3

Block 11 - Retrieve Uploaded Video

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.3

Block 12 - Generate Music Prompts (AI Agent)

Type / Role
@n8n/n8n-nodes-langchain.agent - agent
Config choices
Version 3

Block 13 - Gemini LLM

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 14 - Music Prompt Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.3

Block 15 - Split Music Requests

Type / Role
n8n-nodes-base.splitOut - splitOut
Config choices
Version 1

Block 16 - Create Song (Suno API)

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 17 - Wait for Song Rendering

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1.1

Block 18 - Get Generated Song

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 19 - Check Song Status

Type / Role
n8n-nodes-base.if - if
Config choices
Version 2.2

Block 20 - Log Song Metadata

Type / Role
n8n-nodes-base.googleSheets - googleSheets
Config choices
Version 4.7

Block 21 - Prepare Audio Path (ffmpeg-api)

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.3

Block 22 - Download Song Audio

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.3

Block 23 - Upload Song to Workspace (ffmpeg-api)

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.3

Block 24 - Retrieve Uploaded Song

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.3

Showing the first 24 of 33 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Create hours-long wave music videos with Suno, ffmpeg-api and YouTube
Complexity advanced
Nodes 33
Categories Content Creation, Multimodal AI
Author giangxai
Published 29 Jan 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/13088/13088.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Create hours-long wave music videos with Suno, ffmpeg-api and YouTube do?

Overview This workflow automatically creates hours long wave music videos by combining AI generated music from Suno with a background video, fully automated using n8n and ffmpeg api . It connects m...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.