Pencil vs Woven Video: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Pencil and Woven Video — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Pencil
Pencil (Pencil Works)
In-IDE design canvas that lets engineers design UI and convert designs directly into code to speed development.
Key features
- In-IDE Design Canvas: Provides a visual design canvas embedded inside developers' IDEs so users can create and edit UI designs without context switching to external design apps.
- Design-to-Code Export: Converts designs into code-friendly artifacts or components (land in code) to reduce manual implementation and speed delivery of production UI.
- Local MCP Server & Discovery: Runs a local MCP-style service that writes config (e.g., ~/.claude.json) so external tools and agents can discover Pencil, read its port/command, and integrate programmatically.
- Auto-Configuration & Port Sync: Supports auto-setup and auto-sync behaviors (project or global scope) so integrations (like OpenCode) automatically add Pencil to their configs and update ports when Pencil restarts.
- Project-Scoped Integration: Can be configured per-project or globally, allowing teams to make Pencil available only within specific repositories or across all projects for consistent workflows.
- Tooling & CLI Support: Exposes status, setup, and sync actions for partner tools and agent plugins (e.g., pencil_status, pencil_setup, pencil_sync) to manage connectivity and lifecycle programmatically.
- Canvas-based UI design embedded into developer workflows/IDEs
- Design-to-code export so visual designs can be converted into code artifacts
- Runs a local MCP/config server and writes runtime config to a file (e.g., ~/.claude.json) for tooling integrations
- Integration plugins (example: OpenCode pencil-sync) that auto-setup Pencil in project/global configs and auto-sync ports after restarts
- CLI/tools for status, setup and sync (pencil_status, pencil_setup, pencil_sync) to manage Pencil integration lifecycle
- Support for project or global scope configuration (config added to ~/.config/opencode/opencode.jsonc or ./opencode.json)
- Automatic port/config backup and validation when updating third-party tool configs
Best for
- IDE-native UI Implementation: Designers and engineers create UI layouts directly inside an IDE and export components to the codebase, eliminating design handoffs and manual translation.
- Agent-enabled Code Generation: Integrate with developer agents or automation (via Pencil's MCP config) to let bots generate, update, or wire up UI code from canvas designs automatically.
- Project-scoped Tooling Integration: Add Pencil to a single project's config to enable team members to access the same design-canvas tooling and keep design artifacts synchronized with that repository.
- Auto-recovery After Restarts: Use automatic port-sync and setup tools so external tooling (like OpenCode) recovers connectivity after Pencil restarts without manual reconfiguration.
- Rapid Prototyping and Iteration: Quickly prototype UI ideas inside the IDE, iterate in-context with code, and validate implementations faster by seeing designs translate to code artifacts immediately.
- Cross-tool Workflow Automation: Connect Pencil with CI, linters, or component libraries via its MCP endpoint to automate tasks like component registration, export, or style enforcement from designs.
- Embed visual design work directly inside developers' IDEs to reduce context switching
- Automatically export or convert canvas designs into code components or project assets
- Auto-configure developer tools and agents to use the locally running Pencil service
- Keep IDE/tooling configurations in sync when Pencil restarts or changes port
- Integrate Pencil with automation agents or local development frameworks to enable programmatic access to designs
Woven Video
Woven Labs
Native macOS AI video editor: ask for the edit in chat, then fine-tune it on a real multi-track timeline.
Key features
- Chat-Based Editing: Describe the edit in plain language and Woven applies it to your footage on the timeline.
- Real Multi-Track Timeline: Fine-tune any AI-made edit manually with a full timeline instead of a black-box result.
- Caption Styles: Word-by-word highlight, progressive build-up, or classic subtitles for short-form video.
- Transitions and Text Animation: Fade, whip, flash, glitch and zoom transitions plus pop, typewriter and loop text effects.
- Built-in Sound Effects: A library of 35 sound effects with keyboard triggers to add whooshes, pops and impacts.
- Agent Integration: Paste a setup prompt into Claude Code or Codex so the agent can request edits that appear in Woven.
- Media Generation: Generate images, video and music with Woven-hosted models using monthly credits.
Best for
- YouTube Production: Cutting long-form videos by describing edits instead of scrubbing manually.
- Short-Form Content: Producing Reels, TikToks and Shorts with captions and effects.
- Podcast Clips: Turning podcast recordings into captioned video clips.
- Gaming Videos: Editing gameplay footage quickly with sound effects and transitions.
- Product Demos and Ads: Assembling polished promo videos with AI presenters and generated media.
- Agent-Driven Workflows: Letting a coding agent request edits through the connected editor.