Detect silence and speech segments in audio files with FFmpeg

by Faceless Channel OS ✓ · 38 views · created 2026-08-20 · Document Extraction

What this workflow does

This workflow has 17 nodes and runs when someone submits an n8n form (“Detect silence in an audio file”). It uses only n8n's built-in nodes.

How it runs

Trigger: When someone submits an n8n form (“Detect silence in an audio file”).

1. Prepare Run (Code): runs custom JavaScript code
2. Create the temp folder (Execute Command): runs a shell command on the n8n host
3. Restore the uploaded file (Code): runs custom JavaScript code
4. Save the uploaded file to disk (Read/Write Files from Disk): writes a file to disk
5. Detect silence (FFmpeg) (Execute Command): runs a shell command on the n8n host
6. Parse the silence report (Code): runs custom JavaScript code
7. Route by output mode (Switch): routes items into 2 branches
8. Build the trim filter (FFmpeg) (Code): runs custom JavaScript code
9. Build SRT markers (Code): runs custom JavaScript code
10. Trim the silence (FFmpeg) (Execute Command): runs a shell command on the n8n host

…plus 6 more steps. See the full node list below.

Before you upgrade to n8n 3.0

Nodes used (5)

• n8n Form Triggern8n-nodes-base.formTrigger
• Coden8n-nodes-base.code
• Execute Commandn8n-nodes-base.executeCommand
• Read/Write Files from Diskn8n-nodes-base.readWriteFile
• Switchn8n-nodes-base.switch

From the author

Quick overview This workflow accepts an uploaded audio file via an n8n form, runs FFmpeg’s silencedetect filter to measure pauses, and returns a JSON report listing silence and derived speech segments with totals like duration and percent silent. How it works…

View the original on n8n.io → Check your own copy