Tutorials that survive your next release
Turn a screen recording into a polished tutorial — titles, zooms, captions, narration. When the UI changes, re-render the scene instead of re-recording the video.
made with coanimator
The YourGPT guide library runs on this
Real tutorials from the YourGPT YouTube channel — every one scripted, animated, narrated and rendered in CoAnimator.
how it's built
How to make one in CoAnimator
- 01
Describe it
A brief in plain language: what the video shows, the moments that matter, the tone. No timeline surgery.
- 02
The agent builds the scenes
Claude Code, Codex, Gemini or ours — the agent authors each scene as editable code on the templates and skills the studio ships.
- 03
Narration lands timed
The built-in voiceover plugin renders the narration part by part and places every line on the timeline where it belongs.
- 04
Review in the editor
Timeline, media panel, live stage. Steer with feedback — "slow the intro", "swap that screenshot" — and watch it hot-reload.
- 05
Render locally
MP4 exports run on your machine, in-app or headless via the coa CLI. Unlimited, watermark-free, nothing uploads anywhere.
Nothing is baked — that’s the whole page
Record once
Your screen recording drops in as an asset. The agent builds the tutorial around it: intro, chapter titles, punch-in zooms, captions.
UI changed?
Swap the one affected recording, keep everything else — narration, structure, styling — and re-render locally. Minutes, not a re-shoot.
Every variant free
Short social cut, full walkthrough, localized captions — all renders of the same project, not separate productions.
FAQ
What’s the best way to make software tutorial videos without a video editor?
For software tutorials, the fastest workflow is letting an AI agent build the video around your screen recording: in CoAnimator, the agent adds the intro, chapter titles, punch-in zooms, captions, and narration from a plain-language brief. You review on a live stage and export MP4 locally on Windows or macOS. The YourGPT guide library on YouTube is produced this way, so the format is proven on real support content.
How does an AI agent turn a screen recording into a tutorial video?
Your recording drops in as an asset, and the agent builds the rest around it: titles, zooms, callouts, captions and the voice track, all sequenced on the timeline and all still editable. Nothing about the source clip is baked in, so when a step changes you swap one clip and keep the structure. The stage hot-reloads as the agent works, and the finished tutorial renders on your machine.
Do I have to re-record my tutorials every time the UI changes?
No — that’s the problem CoAnimator’s file-based projects exist to solve. Replace only the recording that shows the changed screen, tell the agent what moved, and re-render; the narration, chapters, and styling stay put. With the coa CLI you can re-render a whole tutorial library headlessly after a release instead of re-shooting it.
Can CoAnimator generate the narration for a tutorial?
Yes — the built-in TTS voiceover plugin renders the narration, one clip per chapter, placed straight onto the timeline. The agent scripts the voiceover with you, then times each chapter’s animation to the finished audio, so zooms land when the narrator says “click here” rather than roughly nearby. Regenerating a single line after a script fix is a normal edit, not a studio session.
CoAnimator vs screen-recorder editors: which is better for tutorial videos?
Screen-recorder editors are the better pick when the recording is the whole deliverable — you capture, trim, and publish in one sitting. CoAnimator treats the capture as one ingredient in a produced video with structure, narration, and motion design, and keeps the whole thing editable across releases. If your tutorials die every time the product updates, the editable-project model is the difference that matters.