Magnitude vs Woven Video: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Magnitude and Woven Video — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Magnitude
Magnitude
Open-source inference server that profiles your hardware, picks and tunes the best local models for it, and plugs them into the coding agent you already use.
Key features
- Hardware Profiling: Inspects your CPU, GPU, and memory and recommends only the local models that will actually run well on that machine.
- Automatic Model Setup: Downloads, tunes, and serves the models you select so you never hand-configure quantization, context length, or serving flags.
- Agent-First Installation: Send one prompt to your existing coding agent and it profiles the hardware, walks you through model choice, and switches itself over to the local endpoint.
- Broad Harness Compatibility: Works as a drop-in backend for Pi, OpenCode, Hermes, OpenClaw, Codex, Claude Code, Oh My Pi, and Cline.
- Built-In Harness: Ships its own agent harness for users who want local coding assistance without adopting a separate client.
- Fully Offline Operation: Models, prompts, and files stay on the machine, so there are no API keys, no token costs, and no rate limits.
- Cross-Platform Support: Runs natively on macOS and Linux, with Windows supported through WSL.
- CLI Distribution: Installed and managed through the @magnitudedev/cli npm package with an interactive setup flow.
Best for
- Private Codebase Work: Run an agent against proprietary source without sending any of it to a hosted model provider.
- Zero-Cost Development: Replace metered API calls with local inference for high-volume experimentation and long agent runs.
- Offline and Air-Gapped Environments: Keep a coding agent working on a plane, in a secure facility, or anywhere with no reliable network.
- Hardware Evaluation: Discover which local models a given laptop or workstation can realistically serve before committing to a setup.
- Existing Agent Migration: Point a harness you already use at a local backend without changing your workflow or tooling.
- Compliance-Constrained Teams: Satisfy data-residency requirements by keeping prompts and outputs on company-controlled machines.
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.