openCanviz vs VideoScribe for Whiteboard Videos
A fair, workflow-first comparison of openCanviz and VideoScribe for whiteboard explainer videos, and how to pick the one that fits how you actually work.
By openCanviz • August 8, 2026
10 min read
The honest difference is where you start. VideoScribe hands you a blank canvas and a large library of hand-drawn assets, and you place, time, and narrate every element yourself. openCanviz starts from a document you already have, drafts the entire narrated whiteboard video for you, then lets you edit it scene by scene. If you love building each frame by hand and want precise control over every stroke, VideoScribe is a mature, capable tool. If you want a finished draft in minutes from a script or lesson plan and would rather edit than build, openCanviz will feel faster.
Neither tool is "the animator." Both draw the visuals for you. The real split is how much of the timeline you assemble by hand versus how much arrives already drafted and just needs your edits.
openCanviz vs VideoScribe at a glance
| VideoScribe | openCanviz | |
| Starting point | Blank timeline plus asset library | A document you paste in (script, lesson plan, SOP, blog post) |
| First draft | You build it scene by scene | Full narrated video drafted for you, then you edit |
| Narration and voiceover | Add your own audio or record per scene | Narration written to match each scene, with generated voice or your own recording |
| Visual styles | Whiteboard, hand-drawn asset styles | Whiteboard, doodle, painted, cutout, poster, switchable per scene |
| Learning curve | Moderate, timeline and asset placement to learn | Low, you start by editing a working draft |
| Best for | People who want to hand-craft every frame | People who have the content and want a fast first cut |
| Price to start | Paid subscription with a trial | Free to start |
The real difference in workflow
With VideoScribe, a video begins empty. You search the asset library, drop images and text onto the canvas, set the order they draw in, tune each element's timing, and layer your own voiceover on top. That gives you tight control, and for a short scene it is satisfying. The cost shows up on longer pieces: a ten scene training video means building ten scenes, one asset at a time, and keeping narration in sync as you go.
openCanviz inverts that. You paste the writing you already have, and it reads the structure, breaks it into scenes, picks visuals, and writes narration that matches each scene. What you get back is a complete narrated video on the first pass. Your job becomes editing rather than assembling: rewrite a line of narration, move an element, retime a beat, or swap a scene from whiteboard to painted. The first draft is the starting line, not something you build up to.
Who should pick which
Pick VideoScribe if you want to place and time every asset yourself, you enjoy the craft of hand-built whiteboard scenes, or you have an established VideoScribe library and workflow you do not want to leave. It is a proven tool for people who treat each frame as something to compose deliberately.
Pick openCanviz if you already have the content written and want a finished draft fast, if you make training or explainer videos regularly and cannot afford to build each one from scratch, or if you want to try more than one visual style without rebuilding the whole timeline. Because it is free to start, you can paste a real document and see the drafted video before deciding.
If your main frustration with VideoScribe is dragging every asset into place by hand, that specific pain is what the document-first workflow removes. See the best VideoScribe alternative for training videos for a training-focused walkthrough.
What you give up
Moving to a document-first tool means giving up some of the frame-by-frame authorship that hand-building rewards. If your value is in composing each scene stroke by stroke, a drafted starting point can feel like it did work you wanted to do yourself. The honest answer is that openCanviz still lets you edit every scene, but it assumes you would rather refine a draft than build from nothing. If that assumption does not match how you like to work, VideoScribe is the better fit.
Common questions
Can I use my own voice instead of a generated one? Yes in both. VideoScribe lets you add or record audio per scene. openCanviz writes narration to match each scene and can generate a voice, and you can replace it with your own recording.
Is openCanviz only whiteboard? No. Whiteboard is one style. You can switch a scene to doodle, painted, cutout, or poster, which is harder to do in a whiteboard-first tool without rebuilding the scene.
Do I have to pay to try openCanviz? No. It is free to start, so you can paste a document and watch it draft a narrated video before committing.
Try it with your own script
Paste a script or lesson plan into openCanviz and watch it draft a narrated whiteboard video, then compare that to the time it takes to build the same thing scene by scene. It is free to start. If you are weighing the manual tools against each other too, see VideoScribe vs Doodly for whiteboard animation at /blog/videoscribe-vs-doodly-for-whiteboard-animation.
Turn any concept into an animated explainer
Type an outline, get a narrated, animated whiteboard video in minutes. No design skills, no timeline scrubbing. Free to start.
Keep reading
An equation in a video should arrive one symbol at a time, each with its meaning and its unit, before any numbers go in. How to reveal it term by term, read it aloud, check the units and finish with a worked number, using the ideal gas law PV = nRT.
A graph in a video should be built in front of the viewer: axes first, then the data, then the one point it proves. How to choose the right chart, reveal it in that order, describe trends with numbers, and stay honest about axes, worked through the Keeling curve of CO2 at Mauna Loa.
A system design channel is judged on whether the diagram on screen shows the mechanism being described. How to choose a lane next to the big channels, structure an episode around one failure, a worked consistent hashing script with real numbers, and a weekly routine without a camera.
A science YouTube video needs a correct explanation, clean audio and visuals that show the mechanism, none of which needs a studio. How to replace each part of a studio with something you already have, worked through why onions make you cry, plus sourcing and YouTube's disclosure rules.