
PAI video search
by Post AI
PAI video search is an AI plugin for Adobe Premiere Pro that automates object tagging. It analyzes frames, labels objects, and builds a timeline visualization to help you navigate footage.
by Kabansky·Workflow
Images © Kabansky. Used for product review; image policy.
ContextLab earns a spot in the aescripts library for combining feedback import, narrative-aware captions, and automated short-form clip generation inside Premiere Pro. The February 2026 update trimmed the Narrative Assist workflow from six steps to four and added a Caption overview step.
ContextLab: AI Context Video Editing applies AI to interpret a project's narrative, speech, and structure inside Premiere Pro. Kabansky built it around smart contextual inserts, AI-powered suggestions, and automation that removes repetitive tasks on the path from rough cut to final delivery.
The Feedback Flow accepts DOCX, TXT, and CSV files, along with image-based feedback through OCR and pasted screenshots. Comments are clustered by meaning and intent, timeline markers are placed automatically, and each feedback round creates a new version with full history rather than overwriting earlier work. Narrative Assist adds contextual subtitle generation, with configurable caption types and density plus SRT and plain-text output.
For short-form work, ContextLab detects moments with a clear beginning, middle, and end using transcribed speech and markers, then trims filler, pauses, and off-topic content. It generates 9:16, 1:1, or 16:9 edits tailored for Reels, Shorts, and TikTok while maintaining rhythm and flow.
ContextLab: AI Context Video Editing is best for video editors, documentary editors, short-form creators, content studios, and freelancers working in Premiere Pro.
ContextLab: AI Context Video Editing is completely free to download and use.
ContextLab: AI Context Video Editing is compatible with Premiere Pro 2026, 2025, 2024, and 2023. If your installation falls within that range, the plugin should run in your version. The current release is 1.2.1, published on February 18, 2026, which simplified the Narrative Assist workflow from six steps to four and added a Caption overview step for reviewing captions before applying them to the timeline or running the process again. For anything outside these listed versions, check the developer's page for the latest compatibility details.
ContextLab accepts feedback in DOCX, TXT, and CSV formats, and even unformatted feedback works. It also supports image-based feedback import through OCR, so screenshots can be brought in directly, and you can paste images from the clipboard for OCR processing. Comments are then clustered by meaning and intent, and timeline markers are placed automatically where they're needed rather than synced by hand. Each feedback round creates a new version with full history, so earlier edits are not overwritten.
ContextLab generates captions through its Narrative Assist feature, which offers contextual subtitle generation with SRT and plain-text output. Caption types and density are configurable, and a Caption overview step lets you review results, apply them to the timeline, or run the process again. Auto-added definitions, references, and quotes give viewers extra clarity. For the full set of caption options in your version, the developer's page has current details.
ContextLab: AI Context Video Editing is listed as free in this catalog. Licensing terms can change over time, so the developer's page is the place to confirm the current arrangement before you build a workflow around it. The version 1.2.0 changelog notes updated licensing tracking together with a trial feedback survey. For the most accurate and up-to-date licensing information, refer to Kabansky's official page rather than relying on a cached figure.
ContextLab produces platform-ready output in 9:16, 1:1, and 16:9 aspect ratios, tailored for Reels, Shorts, TikTok, and more. For short-form work it detects moments with a clear beginning, middle, and end using transcribed speech and markers, then applies smart trimming to remove filler, pauses, and off-topic content. Visual continuity is maintained so the resulting highlights keep their rhythm and flow rather than feeling like rough cuts.
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