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Generate AI videos from Google Sheets and publish to YouTube

Turns a Google Sheet into a full video pipeline. Generates, titles, and publishes Veo3 videos in under 5 minutes of manual work. Built with OpenAI.

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YouTube creators need a constant stream of videos but rarely have the time or budget to produce them at scale. This AI automation handles the entire pipeline from prompt to published video, giving freelancers a concrete, repeatable service to sell.

What This Automation Does

  • Reads video prompts from a Google Sheet and sends them to Google Veo3 to generate fully rendered AI videos
  • Polls the generation job automatically until complete, then retrieves the finished video file without any manual checking
  • Uses GPT-4o to write an SEO-optimised YouTube title matched to each video's prompt and content
  • Saves the final video to Google Drive for backup and uploads it directly to YouTube, then writes the live URL back into the Google Sheet

Tools Used

  • Google Sheets
  • Google Drive
  • OpenAI
  • n8n

Where to Get Hired for This Skill

On Contra, top freelancers across this stack have earned 170 combined verified reviews from real client projects.

Source: Contra freelancer search · refreshed 26 May 2026

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How To Build It

Connect Google Sheets as the prompt source

Link the client's Google Sheet so the workflow reads only rows where the video output column is empty, ensuring each prompt is processed exactly once without duplicates.

Wire the Veo3 API for video generation

Configure authenticated requests to the Fal.run endpoint for Google Veo3, passing the prompt text and desired duration from each Sheet row so a unique AI video is generated per entry.

Build a status-polling loop with a wait interval

Set the workflow to pause for 60 seconds and then re-check the generation job status, looping until the status returns as completed before moving to the next stage so no half-finished file is ever downloaded.

Generate an SEO title with OpenAI and save the video

Pass the original prompt to GPT-4o with a title-writing instruction, download the completed video file, and upload it to a designated Google Drive folder so the client always has an offline backup.

Publish to YouTube and update the tracking sheet

Send the video file and its GPT-generated title to YouTube via the Upload-Post API, then write the live YouTube URL back into the corresponding Google Sheet row so the client can track every published video in one place.

Pitfalls

  • OAuth tokens for Google Drive and YouTube expire or lose scope if the connected account's permissions change, which silently breaks uploads mid-run and requires re-authentication to fix.
  • Veo3 generation times vary significantly depending on prompt complexity and API load, so a fixed 60-second poll interval can either time out on long jobs or waste cycles on short ones if not tuned with a retry cap.
  • Google Sheets row detection relies on the VIDEO column being truly empty, meaning any accidental space or invisible character in that cell will cause the row to be skipped and the prompt never processed.

FAQ

Can I build this without coding?

Yes. The entire workflow is configured through n8n's visual interface using pre-built nodes for Google Sheets, Drive, and HTTP requests. The only technical requirement is setting up API credentials for each service, which involves copying keys from each platform's developer dashboard.

How long does it take to build and deliver this to a client?

Initial setup including credential configuration, Sheet formatting, and end-to-end testing typically takes 4 to 8 hours for a first build. Subsequent client deployments on the same template run faster once you have a reusable configuration.

What can I charge for this as a service?

Pricing depends on how you package it. Common models include a one-time setup fee for handing over a configured workflow, a monthly retainer for managing and monitoring ongoing video output, or a per-video production fee bundled with prompt writing.

Which tools are required and which are optional?

Google Sheets, Google Veo3 via Fal.run, Google Drive, and a YouTube-connected upload service are all core to the pipeline and cannot be removed without rebuilding the flow. OpenAI for title generation is optional and can be replaced with a manual title column in the Sheet or a different language model.

This is original DigiNo analysis. The underlying automation pattern is a community workflow template – view the original on n8n.

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