
Video2PPT
MagicSlides App
TotalMedia VideoConverter
Extract the slides out of a lecture, meeting or screen recording and export them as PowerPoint, PDF or Word — in your browser, so the file never uploads.

Profound
AI marketing platform for brands.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | video2any.com | digraph.dev |
| Pricing | ||
| Company | — | Startup from the United States · 1 - 9 employees |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Video2Any yet.
Digraph is an AI marketing platform for brands. It brings together AI research, market intelligence, website and campaign analysis, specialist AI workflows, and marketer-led guidance to help teams understand what shapes buyer decisions and what to do next. Teams can measure how AI systems...
What each product offers, as listed by its team.


How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Video2Any and Digraph.dev.
Video2Any's answer
Students and university learners recovering lecture slides.
Video2Any's answer
It is built around fully local, browser-side processing. Your video file never gets uploaded to a server. Instead of using AI to invent new slides, it extracts the actual slides that appear in the video. The core detection engine is open source (video-slide-extractor), uses frame differencing to detect slide changes, and works without an account, prompts, or token usage.
Video2Any's answer
Three main reasons:
Video2Any's answer
It is for people who have a recording but not the original slides: students who recorded a lecture, researchers, corporate trainers, course creators, and anyone who needs to recover shared slides from Zoom, Teams, webinars, or screen recordings. It is especially useful for lecture recordings and screen shares where slides stay mostly still and only small elements move.
Video2Any's answer
The project started because manually scrubbing through videos and taking screenshots of slides is painful. The creator also wanted to avoid the trend of adding an "AI agent" to everything. Recorded slides have a natural advantage: most of the frame is static, and slide changes create large block-level differences. That led to a zero-dependency frame-differencing detector, open-sourced as video-slide-extractor, with Video2Any built on top as a browser-based product.
Video2Any's answer
The stack is intentionally lean:
Share your experience with using Video2Any and Digraph.dev. For example, how are they different and which one is better?
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