Cardboard launches an agentic video editor that transforms raw footage into publish-ready content through semantic understanding and collaborative workflows.
Video editing has long been a bottleneck for content creators, requiring hours of meticulous work to transform raw footage into polished content. Cardboard, a new AI-powered video editor, aims to change that by letting creators describe the changes they want in natural language and having the software execute complex timeline operations automatically.
From Hours to Minutes
The traditional video editing workflow involves importing footage, scrubbing through timelines, making precise cuts, adding transitions, and fine-tuning audio—a process that can take hours or even days for a single video. Cardboard promises to compress this timeline dramatically by understanding the semantic meaning behind editing requests.
Instead of manually selecting clips and adjusting parameters, editors can simply describe what they want: "cut the awkward pauses," "tighten the pacing," or "add B-roll to emphasize key points." The system then maps these requests to complex timeline operations, handling the technical execution while preserving creative intent.
Smart Features That Go Beyond Templates
Where many AI video tools rely on rigid templates, Cardboard takes a more flexible approach. The platform includes features like:
- Smart Trim: Automatically removes dead space and optimizes duration without losing context
- Silence Removal: Identifies and eliminates awkward pauses with precision
- Voice Recognition: Generates accurate captions with 99% accuracy in English
- Semantic Search: Find clips by describing what happened, not by filename
These capabilities mean editors can focus on creative decisions rather than technical execution. The system handles the "boring parts" while keeping the creator in control.
Built for Modern Content Workflows
Cardboard isn't just about speed—it's designed around how modern teams actually work. The platform supports live collaboration, allowing multiple users to review, tweak, and ship edits together without the endless back-and-forth that plagues traditional workflows.
Content types already optimized in the system include:
- Talking head videos with automatic framing and caption generation
- Vlogs that transform raw footage into narrative stories
- Montages with beat-matched music and transitions
- Podcast clips that extract the best moments from long conversations
- Launch videos and explainers with professional polish
The Technology Behind the Scenes
At its core, Cardboard leverages advanced language models—specifically mentioning Claude Sonnet 4.6—to understand editing intent. This agentic approach means the software doesn't just apply filters but comprehends the "why" behind editing decisions.
For example, when asked to "make this more engaging," Cardboard can analyze pacing, visual interest, and narrative flow to make intelligent adjustments. The system understands concepts like "punchy edits" and can execute them consistently across different content types.
Pricing and Availability
Cardboard is launching with a subscription model starting at $60/month, positioning itself as a professional tool rather than a casual app. The company offers a free trial, allowing creators to test the workflow before committing.
For teams already using traditional editing software, Cardboard represents a potential paradigm shift—not by replacing human creativity, but by accelerating the technical execution that often slows down the creative process.
The question isn't whether AI will transform video editing, but how quickly creators will adopt tools that let them work at the speed of thought rather than the speed of manual precision.
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