Screen Awesome vs BrainLoom
Side-by-side comparison of features, pros & cons, pricing, and community votes (2026).
🏆 BrainLoom leads with 302 upvotes

The free screen recorder that cannot upload your video
Screen Awesome is a versatile and privacy-focused screen recorder designed as a Chrome extension. Unlike many other screen recording tools, it emphasizes security by ensuring it cannot upload or transmit your recordings, thanks to Chrome's built-in restrictions. Users can record a browser tab, the entire screen, or camera footage directly into MP4 format, making it ideal for creating tutorials, presentations, or quick captures without the hassle of watermarking or accounts. Its standout feature is the auto-zoom function that smoothly follows your clicks, providing a dynamic viewing experience. Additionally, users can take scrolling page screenshots, annotate with arrows, blur sensitive information, redact, add step counters, and insert text—all with editable vector tools, making it a comprehensive recording and editing solution.
Pros
- Zero permissions required, ensuring maximum privacy and security
- No watermark, accounts, or login needed; completely free
- Supports recording to MP4 with multiple modes (tab, screen, camera)
- Built-in annotation and editing tools for comprehensive post-recording customization
- Auto-zoom feature enhances instructional videos and tutorials
Cons
- Limited to Chrome extension, may not support other browsers
- No cloud storage or direct upload options, requiring local saving
- Advanced editing features are basic compared to dedicated editing software
Best for
- • Creating privacy-conscious tutorials and demonstrations
- • Capturing quick bug reports or user feedback with annotations
- • Recording remote work presentations or meetings
- • Taking scrolling page screenshots for research or documentation
Pricing: Free to use with no restrictions on features, watermark, or accounts. It functions as a fully unlocked, open tool supported by the developer’s privacy-centric approach.

Turn PDFs into Flashcards. The local-first Learning OS.
BrainLoom is a local-first learning platform designed to streamline the study workflow by consolidating multiple tools into one. It allows users to instantly convert PDF highlights into flashcards, maintaining direct links to source texts for deep contextual understanding. Its unique 'Smart Paste' feature enables users to visually organize ideas on an Infinite Canvas without needing to touch a mouse, making it ideal for visual thinkers and students who want an integrated, efficient study environment. Currently available for Windows with a Mac version upcoming, BrainLoom aims to eliminate app switching and enhance learning productivity. Its user-friendly interface and focus on local-first data management make it a compelling choice for learners and educators seeking a unified, efficient study tool.
Pros
- Local-first design ensures data privacy and quick access without reliance on cloud services
- Instant PDF highlight-to-flashcard conversion saves time and effort
- Visual organization with Infinite Canvas enhances idea structuring
- Deep linking maintains context and source connections for better comprehension
- All-in-one platform reduces need for multiple study apps
Cons
- Limited to Windows currently, with Mac support coming soon
- May have a learning curve for users unfamiliar with visual note-taking tools
- Pricing details are not fully transparent, potentially limiting initial adoption
Best for
- • Creating flashcards directly from PDF study materials
- • Organizing complex ideas visually on an Infinite Canvas for projects or planning
- • Studying for exams by linking source texts with review cards
- • Research workflows that require linking notes to original sources
Pricing: Based on the description, BrainLoom likely offers a lifetime license at a one-time fee of $29 for early adopters, with future plans potentially including a subscription model for ongoing updates. As a new product, it emphasizes affordability for initial users, but detailed pricing tiers are not yet publicly specified.