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Automated watermark removal and final render distribution

Purpose

 1.1. Enable end-to-end automation for removing watermarks from animation outputs and delivering final, ready-for-client renders.
 1.2. Automate ingestion of animated video, detect and remove pre-deployment watermark, transcode to deliverable formats, and distribute via preferred client channels.
 1.3. Reduce manual error, compress post-production timeframes, and ensure consistent, secure delivery with detailed logging.

Trigger Conditions

 2.1. New render completion marked as "Ready for Final" in project tracker.
 2.2. Manual upload to monitored storage folder or system event from render farm.
 2.3. Receipt of internal approval via project management or chat platform.

Platform Variants


 3.1. Google Drive
 • API: Drive API 'Files: watch'
 • Setting: Monitor final renders folder for new uploads, trigger automation.

 3.2. Dropbox
 • API: Webhooks/Files API
 • Setting: Detect new .mp4/.mov file in configured post-production folder.

 3.3. AWS S3
 • Service: S3 Event Notifications
 • Setting: Trigger on objectCreated:Put for target bucket/folder.

 3.4. Frame.io
 • API: Webhooks/Event subscription
 • Setting: Trigger on new version upload or project approval milestone.

 3.5. Monday.com
 • API: Webhooks/Change Events
 • Setting: Board status change to ‘Final Approval’ triggers automation.

 3.6. Slack
 • API: Events API
 • Setting: Listen for emoji reaction (e.g., ✅) on file message in review channel.

 3.7. ShotGrid
 • API: Event Daemon/REST
 • Setting: Detect "Final" tag for shot/version; initiate upload and processing.

 3.8. Asana
 • API: Webhooks
 • Setting: Task marked "Complete" in 'Post-Production' section starts flow.

 3.9. Adobe Creative Cloud
 • API: Cloud Storage/Asset Libraries
 • Setting: Asset upload detected triggers further processing steps.

 3.10. Google Cloud Functions
 • Function: Run watermark-removal processing script upon trigger.

 3.11. Amazon Rekognition
 • API: DetectLabels
 • Setting: Verify watermark presence/absence in frame analysis.

 3.12. FFmpeg (via command line or containerized API)
 • Function: Run scripted batch removal, overlay cleanup, and re-encoding.

 3.13. Azure Blob Storage
 • Service: Event Grid
 • Setting: File upload to specified container triggers automation pipeline.

 3.14. Wistia
 • API: Upload Events
 • Setting: Upon upload to 'Review Complete' folder, trigger delivery logic.

 3.15. Vimeo
 • API: Webhooks
 • Setting: Detect new video upload or change of privacy status for distribution.

 3.16. WeTransfer
 • API: File Transfer
 • Setting: Automated file send to client list from script.

 3.17. Box
 • API: Events & Webhooks
 • Setting: New file uploaded to ‘Final Renders’ folder kicks off pipeline.

 3.18. Microsoft Teams
 • API: Graph Webhooks
 • Setting: Notification in production channel used as trigger.

 3.19. Google Workspace Gmail
 • API: Gmail API – Send
 • Setting: Automated email sent to client with download link to final render.

 3.20. Zapier
 • Function: Multi-step workflow initiating on any of the above triggers.

 3.21. Notion
 • API: Database Update
 • Setting: Change to "Ready for Delivery" status column triggers script.

 3.22. AirTable
 • API: Automation/Record Change
 • Setting: When animation marked "delivered", system finalizes notification.

Benefits

 4.1. Eliminates manual watermark cleanup, saving editor and coordinator time.
 4.2. Guarantees rapid, error-free transition from final approval to delivery.
 4.3. Centralized logging across all tools provides audit trail and compliance.
 4.4. Flexibly adapts to preferred communication and file storage platforms.
 4.5. Immediate delivery confirmation for all stakeholders, ensuring up-to-date status.

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