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SubHero vs Linum

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

SubHero compared with Linum
DetailSubHero logo SubHeroLinum logo Linum
What it doesAI-powered transcription and subtitle translation for 100+ languages Generative video models for animation
StageNot given Not given
FoundedNot given Not given
Based inHK US
Pricing modelFreemium Not given
PricingPay-as-you-go credit system: Starter $10 USD (1,000 credits), Plus $25 USD (2,750 credits with 10% bonus), Pro $50 USD (6,500 credits with 30% bonus), Power $100 USD (15,000 credits with 50% bonus). Transcription costs about $0.10/minute (10 credits), translation starts from $0.01/minute (1 credit). Not given
Key features
  • AI-powered audio and video transcription with 99.8% accuracy
  • Subtitle translation to 100+ languages with 99.5% accuracy
  • Support for SRT, VTT, and ASS subtitle formats
  • Custom glossary management for consistent terminology
  • Batch processing for multiple files simultaneously
  • Selection from multiple AI models including OpenAI, Google, Anthropic, and more
  • Intelligent semantic segmentation for readable subtitles
  • AI text correction and enhancement
  • Content-type optimization for different genres (TV dramas, movies, documentaries, anime)
  • 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
  • Support for 100+ languages with native-level quality
  • Flexible AI model selection with cost-quality tradeoffs
  • Built by creators for creators with real-world workflow focus
  • Professional-grade accuracy at accessible pricing for individual creators
  • 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)3 no change since last check44 +1 (up) since last check
Trust Flow (Majestic)05
Citation Flow (Majestic)1232
Referring domains (Majestic)33397

4 details filled in for both companies.

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