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ScreenApp vs Linum

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

ScreenApp compared with Linum
DetailScreenApp logo ScreenAppLinum logo Linum
What it doesAI-powered meeting assistant that transforms recordings into structured notes, summaries, and actionable insights Generative video models for animation
StageNot given Not given
Founded2023 Not given
Based inAU US
Pricing modelFreemium Not given
PricingFree plan: 2 transcriptions up to 45 minutes each, 3 uploads and imports, 10 AI chats per month. Pro: $19/month billed annually (or $30/month billed monthly), 50 transcriptions per month, 50 AI chats per month, up to 2 hours per recording, 500 uploads and imports per month. Max: $34/month billed ann Not given
Key features
  • AI-powered transcription with speaker labels
  • Automatic meeting summarization with action items
  • Real-time translation of recordings
  • Search all recordings and transcripts instantly
  • Video analysis with frame examination
  • Import from Zoom, Google Meet, Microsoft Teams, and YouTube
  • Export as documents, PDFs, or text files
  • Up to 95.8% transcription accuracy on clear audio
  • Pyramid-JiT (P-JiT) architecture with 32×32 token reduction
  • 4× more aggressive token reduction than Linum v2
  • Converges in 11× fewer samples than Linum v2
  • 2B-parameter model with frozen Qwen text encoder
  • Pixel-space diffusion with multi-resolution readouts
  • PixelREPA alignment with DINOv3-L
  • Curriculum learning over noise schedule
What makes it different
  • Search everything instantly across all your recordings without watching
  • AI extracts key points and action items automatically in real-time
  • Works across web, desktop, and mobile with native apps
  • No credit card required to start using the free plan
  • Transcription accuracy up to 95.8% on clear English audio
  • Low-cost training: full 2B model trained for just $21K in compute
  • Controls baked into model training rather than post-hoc fine-tuning
  • Pixel-space compression without separate VAE bottleneck
  • Apache 2.0 open release with full model weights and code
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)71 no change since last check44 +1 (up) since last check
Trust Flow (Majestic)215
Citation Flow (Majestic)4432
Referring domains (Majestic)1927397

4 details filled in for both companies.

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