Fal.ai + AWS S3: face swap videos, no busywork
Send a video and face image to Fal.ai, with files hosted on AWS S3. Skip…
Automate avatar-led videos from script to publish. Generate scripts, render spokesperson clips, store assets, and send approvals so your team ships more content without extra meetings.
You start with a trigger, like an n8n form, a webhook from your site, or a new row in Google Sheets. The workflow turns your brief into a script with OpenAI, then sends it for review in Slack or email. Once approved, it calls HeyGen to render an avatar/spokesperson video, saves the output to Google Drive, and posts links back to your team. You can also tag campaigns, track status, and schedule publishing.
Not really. If you can follow a checklist, you can run most templates. You’ll connect accounts (HeyGen, Google Drive, Slack), paste a few API keys, and edit fields like brand voice, avatar choice, and output folder. For advanced setups—multiple languages, dynamic scenes, or CRM routing—some light logic helps, but it’s still mostly point-and-click in n8n.
Honestly, the biggest win is eliminating the “busywork loop”: copying scripts, renaming files, and chasing approvals. Teams often cut the process in half for recurring video types like weekly updates, product releases, and onboarding clips. If you make several videos a week, that can mean saving about 2 hours per batch, sometimes more when approvals and asset handoffs are the main bottleneck.
You’ll need an n8n workspace, a HeyGen account (or another avatar tool supported by the workflow), and access to where you store assets, usually Google Drive. Have a simple brand kit ready: preferred tone, standard CTA, and any required disclaimers. Make sure your API keys have permission to create videos and write files to the target folder. Frankly, the only “hard” part is agreeing internally on an approval step, so videos don’t get stuck.
Send a video and face image to Fal.ai, with files hosted on AWS S3. Skip…
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