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Open-source, agent-driven editing pipeline: create subtitles, motion graphics, slides, edit and render videos.

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OpenEdit, powered by VEED

Video editing for coding agents. Describe the edit; get the MP4.

License: Apache-2.0 Platform: macOS, Windows and Linux

Get started · Prompts · Examples · VEED

OpenEdit is an open-source, agent-driven editing pipeline. There is no GUI and no timeline: you tell your coding agent what you want, and it transcribes, designs, renders and hands you the file.

Get started

You need a Mac, a Windows PC or a Linux machine, Node 20.18.1 or newer, and one of Claude Code, Codex or Gemini CLI. From your project folder, install the skill into your agent:

npx skills add veedstudio/open-edit --skill open-edit

Then open the agent (claude, codex or gemini) and ask:

Add subtitles to my video clip.mp4

The first run sets itself up: it checks for Node and ffmpeg and names the command for anything missing (on a Mac it installs through Homebrew once you approve; on Linux and Windows the commands are printed for you to run, and on Windows ffmpeg is fetched into your user folder with no admin rights); pins itself into your project as a dev dependency; and asks once how you want speech transcribed. It adds no hooks to your agent's settings and never updates itself: when a newer release is out, commands say so, and your agent installs that version only after you say yes. The first render downloads the browser it renders with into your user's app-data folder. Hosted by VEED transcribes best (a veed.io account, sign up or log in; the free tier covers about ten minutes a month); WhisperX runs locally for free (needs uv or pipx; the first transcription downloads the model, about 2 GB for the fast tier and more for the better one; nothing leaves your machine); or bring your own service. When the run finishes you get the MP4 with subtitles burned in and the path to the file, which lives under runs/ in your project together with the code that made it.

GPT-6 Astra title sequence made in OpenEdit

Made in OpenEdit with GPT-6 Astra driving the pipeline: pure motion graphics, no source footage, prompted against the OpenAI Brand Film as a visual reference.

OpenEdit launch video

The launch video, also made in OpenEdit. Click either one to watch with sound.

What you can ask for

Captions are a common ask, not the limit. The agent can edit, cut and reframe footage, layer motion graphics and visual elements, turn slides into video, and pull in any AI video/image generator or MCP server when it helps. Source video is optional: stills, slides or generated media are enough when the brief calls for it.

As a first ask:

Add subtitles that look like this [IMG-REF] to my video [VIDEO]

Cut the false start and the long pause around 0:42, then caption it

Make a 20-second title sequence for my launch, no footage, in my brand colours

On a delivered render:

I don't like the yellow colour, make it darker

Move the text up a bit

When he says "go buy it now", make sure the 'now' really stands out

No footage at all? It can generate a talking-head clip from a script with VEED Fabric and edit that. Generation is billed: it quotes the price in your workspace's AI Playground credits and spends nothing without your yes.

Examples

Real outputs, each with the prompt that produced it. Click any example to watch it with sound.

create viral subtitles with /open-edit and translate my video to 5 languages using VEED Lipsync 2.0 on Fal

One source clip, three languages, three caption styles, translated and re-lipsynced through VEED's Lip Sync API:

Spanish French German
Spanish French German
generate 3 viral hooks in Seedance 2.0 on Fal and create dynamic motion graphics using /open-edit

Three hooks generated with Seedance, three motion-graphic treatments:

News hook Desk hook Makeup hook
use Figma MCP to study my BrandBook and create branded campaign graphics using /open-edit

One brand book, three campaign cards:

Race Fashion 1 Race Fashion 2 Race Fashion 3

How it works

The skill gives your agent tools and leaves the design to it. It transcribes with real per-word timings, composes the piece as an HTML page, renders it frame by frame in a browser, looks at the frames and fixes what it sees, then hands back the file. After a change it re-renders only the stretch that changed. Every tool is a command from the @veedstudio/openedit-cli package; the CLI reference lists them.

Transcription is your choice, asked once and remembered. WhisperX runs locally and nothing leaves your machine. VEED's hosted transcription uploads the file in order to transcribe it and stores it for that purpose. Any Whisper-family JSON from your own service works too, and no credentials pass through OpenEdit. Every provider writes the same runs/<key>/transcript.json, and per-word timings are required: without them the caption reveals drift, so a transcript that has none is refused rather than rendered badly.

Requirements

Platform macOS, Windows or Linux
macOS Built and tested on Tahoe 26.0. Nothing checks the version, so earlier releases may work, untested
Windows Windows 10 or newer (the installer extracts with the bundled tar). Node via winget: init prints the exact command and never runs it itself. ffmpeg is fetched into your user folder for you, no admin rights needed. Git is optional, used to version your project when present
Linux Supported. ffmpeg and Node install through your package manager, which needs root, so init prints the commands and never runs them. CI covers macOS and Windows, so Linux is the least exercised
Agents Claude Code, Codex or Gemini CLI. The installed skill prepares the workspace itself

Scope and limitations

Every piece, captions included, is a page your agent writes and OpenEdit renders, so the result follows the agent and model driving it. Expect rough edges.

Report defects through GitHub issues.

License

OpenEdit is licensed under Apache-2.0. See LICENSE and NOTICE for the full terms.


OpenEdit · powered by VEED

About

Open-source, agent-driven editing pipeline: create subtitles, motion graphics, slides, edit and render videos.

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