Google (Quietly) Changed Video Editing Forever
Multimodal search engines and spatial AI editing features are dramatically reducing the friction of asset organization and object manipulation for post-production workflows.
What this lesson covers
This video highlights Google's new Embedding 2 multimodal search tool, which allows editors to search through vast video archives using natural language and pinpoint microexpressions. It also demonstrates a new Photoshop beta feature that enables users to rotate subjects and adjust their orientation along the Y and Z axes.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 0:34 ↗
Google Embedding 2 allows users to synthesize various data types like PDFs, videos, and images into a unified library searchable via natural language.
- 2:18 ↗
The text system enables editors to pinpoint untranscribed microexpressions or specific establishing shots within massive unorganized video libraries.
- 3:22 ↗
Photoshop beta introduced a rotate object feature that lets creators rotate subjects and adjust Z-depth orientation directly inside images.
- 4:21 ↗
Using command T and the rotate object button activates an editing window that automatically up-reses and re-renders subjects upon defining their new orientation.
Workflow outlined in the video
- Access Google Embedding 2 through Vertex AI and its API to test natural language asset searching.
- Download the latest Photoshop beta on your computer to test the new subject rotation and Z-depth tools.
- Duplicate your image layer and isolate subjects using the remove background tool before applying transformations.
- Select your object, press command T, and click the rotate object button to adjust orientation along the Y axis.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
How to interpret the numbers
27,290 views captured 22 October 2026. ReelStack recommendation score: 45/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 45% performance: 1.47× views vs 13 other channel videos observed at a similar age. View-evidence factor 96% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- 20% momentum: 5 views/day vs 2 channel baseline (7 comparable uploads), with the same view-evidence factor
- 10% engagement: 56/100; likes + 4× comments, smoothed with a 500-view neutral prior