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ClipFlap vs Linum

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

ClipFlap compared with Linum
DetailClipFlap logo ClipFlapLinum logo Linum
What it doesAI tool that turns long videos into ready-to-post vertical clips with captions Generative video models for animation
StageStartup Not given
Founded2026 Not given
Based inUS US
Pricing modelFreemium Not given
PricingFree trial: 10 processing minutes with no card required. Starter plan: $10/month (or $15 if billed monthly without yearly discount) includes 150 processing minutes, 1 connected social account, no watermark, extra usage $0.20/min. Pro plan: $20/month (or $30 if billed monthly without yearly discount) Not given
Key features
  • Automatic highlight detection and moment selection
  • 24-language support with language-specific typography
  • Word-by-word captions with karaoke timing
  • Two-speaker split-screen detection
  • Direct publishing to YouTube, TikTok and Instagram
  • Multiple output formats: 9:16, 1:1, 16:9
  • Automatic clip scoring and ranking
  • Silence trimming and gap removal
  • 14 caption style options
  • Automatic title, hashtag and thumbnail generation
  • 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
  • No watermark on paid plans, only on free trial
  • Language-native typography and Arabic dialect preservation
  • Per-minute pricing without credit packs or opaque systems
  • Finished output, not a timeline requiring further editing
  • Free trial requires no credit card
  • 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)75
Citation Flow (Majestic)2332
Referring domains (Majestic)10397

4 details filled in for both companies.

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