Arsaze is an AI-native video editor built for agents and humans alike. It describes itself as a real multi-track video editor — "think Cursor for video editing" — where you can cut, rewrite, generate, grade and review footage by hand, or let Claude and ChatGPT drive the exact same timeline. The product is designed for people who want a genuine non-linear editing environment rather than a black-box generator, and for teams who want an agent to operate real editing software. Its core purpose is to put AI video editing, AI video generation and agent-driven video editing on one real timeline, so that work does not have to be shuffled between separate tools or re-imported after generation.
The problem Arsaze addresses is fragmentation. AI video, image and audio generation normally lives in separate products, which means tab-hopping between several subscriptions and downloading and re-importing files before they can actually be edited. At the same time, AI editing tools are often opaque: you describe what you want and hope for the best, with no timeline, no manual control and no clean way to undo a bad decision. Arsaze answers both issues by being a full manual NLE first — timeline, trim modes, color wheels, keyframes — with the agent acting as an operator you can hand the controls to rather than a requirement. Everything the agent does stays on a real, editable timeline.
The first of the four power tools is Rewrite, which lets you edit video like a document: delete the words and the cut happens. Every clip is transcribed word by word, so you can select a sentence and cut it out, find retakes, strip filler words and shorten pauses, with the timeline following the transcript automatically. This makes text-based editing, retake detection and the removal of fillers and silence a single operation rather than a manual chore. Because the transcript drives the timeline, an editor — or an agent — can make precise structural changes to a talking-head recording without scrubbing through every second of footage.
Playground is a node editor for generation, built for both you and your agents. You chain prompts, AI image models and AI video models into reusable graphs — for example, Gemini Image feeding into Seedance, or two stills combined into one transition — and drop the result straight onto your timeline. Because the graphs are reusable, a workflow you build once can be run again and again. A single credit balance covers AI video, image and audio generation on every paid plan, so there is no downloading and re-importing between tools. Supported video models listed by Arsaze include Veo 3.1, Seedance 2.5, Kling 3.0 and PixVerse v6.
Color is a full grading stack that you can drive by hand or by asking. It includes a keyer, shot match, light controls, wheels, curves, HSL qualifiers, film-stock LUTs and finishing tools, all non-destructive, applied per shot and rendered on export; you can also import your own .cube files. Shot matching lets you match one shot's look to another, while film and creative LUTs supply ready-made looks. Remarker, the fourth power tool, handles frame-accurate client review: you share a link, clients pin comments to the exact frame and version, reply in threads and rate scenes, and your agent can read every note and make the fix. Feedback therefore survives the next cut instead of getting lost.
Underneath, Arsaze runs a dual engine: two renderers, one project. Engine one is a real-time multi-track timeline with unlimited video and audio tracks, frame-accurate trims, keyframes, transitions and live preview — the NLE you already know. Engine two is code-to-video rendering, where title cards, kinetic type and animated scenes are written as code, by you or your agent, and rendered frame-perfect onto the timeline. Both engines sit side by side in the same edit, so traditional cutting and programmatic motion graphics coexist in one project, driven by either a human or an agent.
Getting an agent to edit is deliberately simple. You connect your agent by adding Arsaze as a custom connector in Claude, ChatGPT or Grok over MCP — the documentation states this takes two minutes and requires no code. Then you say what you want, in plain language: cut the silences, add b-roll where I mention the car, grade it teal and orange. The agent edits the real timeline, and its tool calls play back live in your editor. At any point you can step in manually, share a review link, and export MP4 or FCPXML for DaVinci Resolve and Premiere Pro, with cuts, transitions and captions intact.
Alongside the four power tools, Arsaze ships the everyday tools an editor needs, each of which is also available as a tool your AI can call. Auto captions are word-timed and use styles you can reuse across a project, and they are editable like any other clip. Cut silences and filler words removes dead air and ums from a talking-head recording in one pass, with fine-tuning afterwards on the timeline. AI b-roll and generation puts generated video, images, voiceover, music and sound effects straight onto the timeline. Color grading offers wheels, curves, HSL secondaries and LUTs. Clean audio covers voice isolation, noise reduction, loudness normalization and automatic ducking under speech. Version history versions every edit as it happens, so you can branch, compare and return to any earlier cut, and export works to MP4, local Windows export, or FCPXML.
The payoff is control without losing the speed of AI. Because every edit is versioned automatically, nothing the agent does is one-way — if it makes a bad edit you can step back to any earlier state. Because exports render on Arsaze's servers by default, you do not need a fast machine: the editor is just a browser tab. If you would rather use your own PC, the Windows app can export locally, free and without a watermark. And because footage is not used to train models without your consent, uploads, generated video and voice models stay tied to your account.
Concrete scenarios follow directly from the toolset. An editor working through a long interview or talking-head recording uses Rewrite to find retakes and strip filler words, then cleans up audio with voice isolation and noise reduction. A creator who needs b-roll builds a Playground graph that generates images and animates them into clips, dropping them straight onto the timeline. A colourist grades per shot with wheels, curves and HSL qualifiers, matches one shot to another, and applies film-stock or creative LUTs non-destructively. A freelancer shares a Remarker review link so a client can pin notes to exact frames, then asks an agent to read those notes and make the fixes before the next version.
Arsaze runs in the browser, with a downloadable Windows app for local exports. On the integrations side, Claude, ChatGPT and Grok are supported today over MCP; the site also displays logos for Codex, Gemini, Cursor, Windsurf, Zed, Copilot and Perplexity. Pricing starts with a free plan that includes 50 welcome AI credits for audio analysis of your videos — transcripts, captions and silence detection — and requires no credit card. AI generation (video, image, voice and music) and the built-in AI assistant come with the paid plans, which add monthly AI credits and cloud export hours. Credit top-ups never expire, and exports rendered on your own PC with the Windows app are always free.
Arsaze's core promise is a single, real timeline that both humans and AI agents can operate. It combines a professional non-linear editor, generation models, a code-to-video renderer, colour grading and frame-accurate review in one place, so teams can stop scrubbing and start directing — hand the work to an agent when that helps, and take the controls back whenever it does not.