We deployed this across three locations and saw immediate time savings. The YouTube to Reels workflow handles edge cases we didn't expect it to.
+ Setup was straightforward · Great documentation
Clip long-form YouTube videos into vertical Reels segments with auto-captions and hooks.
This automation starts when youTube video marked `clip-ready` in Airtable with duration threshold met. It x (twitter) logs, airtable logs, openai logs, and meta insights logs, then when a YouTube video exceeds your configured duration threshold and is marked `clip-ready` in Airtable, the workflow uses OpenAI to identify three highlight win.
Read-only visualization of how data moves from trigger to final result.
YouTube video marked `clip-ready` in Airtable with duration threshold met
When a YouTube video exceeds your configured duration threshold and is marked `clip-ready` in Airtable, the workflow uses OpenAI to identify three highlight win
When a YouTube video exceeds your configured duration threshold and is marked `clip-ready` in Airtable, the workflow uses OpenAI to identify three highlight win
When a YouTube video exceeds your configured duration threshold and is marked `clip-ready` in Airtable, the workflow uses OpenAI to identify three highlight win
When a YouTube video exceeds your configured duration threshold and is marked `clip-ready` in Airtable, the workflow uses OpenAI to identify three highlight win
When a YouTube video exceeds your configured duration threshold and is marked `clip-ready` in Airtable, the workflow uses OpenAI to identify three highlight win
Logs
Logs
Logs
Logs
Logs
Remove repetitive steps from YouTube to Reels so your team focuses on high-value work.
Connected apps sync data automatically instead of copy-paste between dashboards.
Standardized logic runs the same way every time, with retries on failure.
Events trigger immediate actions instead of waiting for someone to check a queue.
Automation runtime
Connect required apps via OAuth or API keys. Credentials are encrypted server-side. Dev test runs mock external actions when connections are missing.
Est. setup time: ~13 min
Manual trigger
Run workflows on demand via Test run or Live test. Activate to enable scheduled/webhook triggers on other templates.
No runs yet. Install the template and run a test, or activate to receive webhook/schedule runs.
When a YouTube video exceeds your configured duration threshold and is marked `clip-ready` in Airtable, the workflow uses OpenAI to identify three highlight windows from the transcript, FFmpeg-extracts 9:16 clips via a cloud worker, burns captions, uploads to Instagram Reels via Meta API, and logs clip performance links back to the source video row.
Some steps run in preview until their integrations go live.
Authorize YouTube Data API, Airtable, OpenAI, cloud FFmpeg worker, and Instagram Graph API.
Enable YouTube auto-captions or upload manual transcript to Airtable for highlight detection.
Set clip length 30–90 seconds, max clips per video, and safe-zone crop for vertical.
Optional human approval step sends preview links in Slack before Reels upload.
Process one long video and verify three Reels publish with captions and source linkage.
| Variable | Type | Default | Required |
|---|---|---|---|
| Business Name | text | Your Business | Yes |
| Notification Email | — | Yes | |
| Timezone | select | — | Yes |
GPT-4o scores transcript segments for hook strength, standalone value, and emotional peaks.
Enable smart crop if your FFmpeg worker supports face detection; otherwise center crop.
Clips are separate Reels; they do not affect YouTube watch time on the long-form video.
Clips inherit audio; verify rights for short-form redistribution.
Our team can adapt this template to your exact workflow, apps, and brand requirements.
13 total reviews
We deployed this across three locations and saw immediate time savings. The YouTube to Reels workflow handles edge cases we didn't expect it to.
+ Setup was straightforward · Great documentation
Solid template. We duplicated and tweaked variables for our brand. Would recommend for teams starting automation.
+ Integrations worked on first try · AI quality exceeded expectations
Clean workflow design. Connected our stack in one afternoon. Minor learning curve on variables.
+ Reliable triggers every time · Support team helped customize quickly
When a YouTube video exceeds your configured duration threshold and is marked `clip-ready` in Airtable, the workflow uses OpenAI to identify three highlight windows from the transcript, FFmpeg-extracts 9:16 clips via a cloud worker, burns captions, uploads to Instagram Reels via Meta API, and logs clip performance links back to the source video row.
Activate YouTube to Reels with default variables and run a sandbox test.
Scenario: New user installs template and validates output in under 15 minutes.
Connect live apps, map business rules, enable monitoring alerts.
Scenario: Team deploys to workspace after QA sign-off on test runs.
Version 1.2.0 — Improved reliability and Slack notifications for YouTube to Reels.
Current version: 1.2.0
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