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Transform webinars, training videos, and tutorials into searchable knowledge base articles. Perfect for support teams, product teams, and content creators building self-service knowledge bases.
Watch It Work
See how Loom recordings become searchable step-by-step guides instantly
Join remote teams using Docsie to convert Loom recordings into searchable documentation
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Training videos become searchable, categorized KB articles
Why Docsie is Different
Most tools just convert speech to text. Docsie's multimodal AI actually watches your videos—reading on-screen text, identifying UI elements, and understanding visual context.
AI watches and understands video content—reads on-screen text, identifies UI elements, detects visual changes, and understands what's happening in each frame
Correlates what's being said with what's being shown. Understands technical terminology, product names, and industry jargon—no more 'sequel' instead of 'SQL'
Identifies important visual moments—UI changes, diagram reveals, key screens—and captures them as illustrations correlated with text
Simple Process
Powered by Docsie Copilot's agentic AI system
Drop your training video, product demo, or tutorial into Docsie. Supports all major formats: MP4, MOV, AVI, WebM
Multimodal AI watches the video, reads on-screen text, identifies UI elements, and creates structured documentation in real-time
Get professionally formatted documentation with screenshots, step-by-step instructions, and structured content ready to publish
Everything you need to convert videos into searchable KB articles
AI automatically organizes articles into logical categories and assigns relevant tags for easy browsing
Automatically extract questions and answers from videos to create FAQ sections and Q&A articles
AI identifies related topics and creates cross-links between KB articles for better navigation
Generate fully searchable KB articles with keyword optimization and search-friendly formatting
Automatically capture and insert screenshots to create visual step-by-step guides
Auto-generate article navigation with collapsible sections and anchor links
Watch how Docsie Copilot analyzes both audio and video—seeing UI elements, reading on-screen text, and capturing code—to create structured documentation
No credit card required • 14-day free trial
Common Questions
Everything you need to know about converting videos to KB articles
Q: Does the AI automatically organize videos into KB categories?
A: Yes. Docsie's AI analyzes the topic and content of each video and automatically assigns it to relevant categories. It creates a logical knowledge base structure organized by topic, making it easy for users to browse and find information.
Q: Can one video create multiple KB articles?
A: Absolutely. Long webinars or training videos are automatically split into multiple focused KB articles by topic. A 60-minute webinar might become 8-10 separate articles, each covering a specific feature or question—making knowledge more discoverable.
Q: How does FAQ generation work?
A: The AI identifies question-and-answer patterns in your videos and automatically extracts them into FAQ format. It recognizes when presenters answer audience questions, explain common issues, or address typical user problems.
Q: How does this improve self-service and reduce support tickets?
A: KB articles are searchable by keyword, making answers instantly findable. Users type their question, find the exact article, and self-serve—instead of opening support tickets or watching entire videos hoping to find the answer.
Q: Can I customize how articles are organized and tagged?
A: Yes. The AI-generated categories and tags serve as a starting point that you can customize to match your KB structure. You can reorganize articles, create custom categories, and adjust tags to fit your knowledge base taxonomy.
Still have questions?
Book a DemoCompatible with major video platforms and formats
Process YouTube videos and playlists
Convert Vimeo content
Convert Loom recordings
Support for MP4, AVI, WebM, MOV
Start creating professional documentation that your users will love
