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Slenvox vs Linum

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

Slenvox compared with Linum
DetailSlenvox logo SlenvoxLinum logo Linum
What it doesTurn documents, links and ideas into finished videos with narration, motion graphics and subtitles Generative video models for animation
StageStartup Not given
Founded2026 Not given
Based inIN US
Pricing modelFreemium Not given
PricingFree: one 5-minute video, 720p with watermark. Lite: $10/mo (5 min/month). Plus: $58/mo (30 min/month). Pro: $103/mo (60 min/month). Max: $253/mo (150 min/month). Team: $519/mo (320 min/month, up to 5 users). Business: Custom pricing. Not given
Key features
  • Text to video creation from topics and scripts
  • PDF and PowerPoint conversion to video
  • Automated motion graphics synchronized to narration
  • Stock footage matching script lines
  • 142 AI voices in 22 languages
  • Voice cloning for personal narration
  • Brand kit customization with logo, colors and fonts
  • Scene-by-scene editing before finalization
  • Export to professional editing tools
  • Automatic subtitle generation in multiple languages
  • 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
  • Context-aware motion graphics built from the script, not just overlaid text
  • Converts documents and web pages into complete videos without manual script writing
  • No watermarks on paid plans, 1080p resolution with full customization control
  • Support for 22 languages with 142 natural AI voices or voice cloning
  • Team collaboration with shared workspaces and asset libraries
  • 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)Not checked yet no change since last check44 +1 (up) since last check
Trust Flow (Majestic)45
Citation Flow (Majestic)1532
Referring domains (Majestic)4397

4 details filled in for both companies.

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