AI Caption Placement: What Editors Should Test Before Export
Review AI caption placement across the complete video. Check moving subjects, essential graphics, line breaks, contrast, changing crops, safe zones, and device previews before export.
Core topics
Clear terminology makes AI image and video work easier. This glossary is designed for creators, ecommerce teams, and everyday users who need practical definitions without unnecessary technical language. Use it to understand an unfamiliar setting, choose an appropriate file format, follow a workflow with greater confidence, or diagnose…

Review AI caption placement across the complete video. Check moving subjects, essential graphics, line breaks, contrast, changing crops, safe zones, and device previews before export.
Before converting a full video, test a representative short clip for stable depth, clean object boundaries, comfortable stereo settings, and correct playback on the intended device.
AI video outpainting expands a clip beyond its original frame to fit a new aspect ratio. Editors should inspect boundaries, motion continuity, edge details, original-frame preservation, and whether…
Evaluate AI avatar videos against their purpose, script, pacing, and tone. Review the full clip, record timestamped issues, revise available controls or prompts, and inspect the result before…
Use this practical checklist to evaluate whether an AI-generated subject belongs in a live-action shot, from plate preparation and matte cleanup to lighting, motion, texture, and full-shot review.
Compare each frame with reliable product images, inspect motion and presentation, and publish only when the spin preserves product details and fits its intended placement.
Camera trajectory controls define how a virtual camera’s position and orientation change over time. They can make viewpoint and subject framing more explicit, but users should plan camera…
A shot contract lists the visual facts that must remain true across a generated clip, including identity, proportions, lighting, motion limits, and text.
Human-in-the-loop AI media production keeps people responsible for goals, factual checks, approvals, and escalation—not only final clicks.
A golden reference image is the approved visual baseline used to judge every AI-generated or AI-edited variation.