SoCaptions vs Linum

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

SoCaptions compared with Linum
Detail	SoCaptions	Linum
What it does	AI video caption generator with word-level timing and MP4 export for short-form video platforms	Generative video models for animation
Stage	Not given	Not given
Founded	Not given	Not given
Based in	PL	US
Pricing model	Freemium	Not given
Pricing	Free tier: 5 minutes of transcription, edit-only (no export). Pro monthly: $5/month with 100 minutes of transcription and 100 minutes of MP4 export per month. Pro yearly: $50/year (pay 10 months, get 12).	Not given
Key features	Word-level AI timing for precise caption synchronization AI transcription with automatic language detection (99 languages) Viral-ready caption presets (Bold Outline, Box, Cinematic, Karaoke, Emphasis, Animated) Burned-in MP4 export with no watermark SRT and VTT subtitle format export Drag-and-drop editor with word-level timing adjustment Fast transcription (12 seconds for 60-second clip) Support for large video files (up to 5 GB) Free subtitle conversion tools (SRT, VTT, ASS formats) Safe zone preview for TikTok and Instagram Reels	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	Word-level caption timing instead of block-level for tighter rhythm and precise control No watermark on exported videos; clean MP4s ready to publish immediately Burned-in captions survive downloads, reposts, and all players without separate subtitle files Free tier with 5 minutes of editing; no credit card required to try 99-language auto-detection including mixed-language video support	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 plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	5 −2 (down) since last check	44 +1 (up) since last check
Trust Flow (Majestic)	19	5
Citation Flow (Majestic)	14	32
Referring domains (Majestic)	47	397

4 details filled in for both companies.

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