🎬 Convert MP4 to GIF with FFmpeg and RenderIO
⚡ 40 views · 🎬 Content Creation & Video
Description
Who is this for
Anyone who needs to automate video-to-GIF conversion without installing FFmpeg locally. Ideal for content creators, social media managers, and developers building media pipelines. Works on both n8n Cloud and self-hosted instances.
What it does
FFmpeg is a powerful tool for media processing. While it can perform virtually any kind of operation (applying filters, cropping, merging), this workflow demonstrates format conversion: video to GIF.
You submit a video URL through a form, the RenderIO node sends it to the cloud for FFmpeg processing, and the workflow polls until the converted GIF is ready for download.
How it works
- Submit a video URL through the form (or click “Execute workflow” to use the default test URL).
- The RenderIO node sends the URL and FFmpeg command to the cloud for processing.
- After 10 seconds, the workflow polls the command status.
- If not yet complete, it retries every 30 seconds until the status is
SUCCESS. - The GIF download URL is shown on the completion page.
Requirements
- A free account and API key from RenderIO
- The
n8n-nodes-renderiocommunity node installed in your instance
How to set up
- Sign up at renderio.dev and create an API key from the dashboard.
- In n8n, go to Settings > Community Nodes and install
n8n-nodes-renderio. - Add a new RenderIO API credential with your API key.
- Open the workflow and execute it.
How to customize
- Different input formats: The workflow accepts any video format FFmpeg supports (MP4, AVI, MOV, WebM, etc.). Just provide the URL.
- GIF quality: Add FFmpeg flags to control frame rate, resolution, or palette generation for higher-quality GIFs (e.g.,
-vf "fps=10,scale=320:-1"). - Advanced processing: The FFmpeg command supports any valid flags for filters, trimming, cropping, and more. Consult the RenderIO docs for examples.
- File uploads: Swap the URL text input for a file upload and use the RenderIO File > Upload operation to upload binary data before running the command.
🔗 Nodes Used
n8n Form Trigger, n8n Form
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File