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
| Detail |
SubHero |
Linum |
| What it does | AI-powered transcription and subtitle translation for 100+ languages
| Generative video models for animation
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| Stage | Not given
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| Founded | Not given
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| Based in | HK
| US
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| Pricing model | Freemium
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| Pricing | Pay-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).
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| 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
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| 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
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 3 ● no change since last check | 44 ▲ +1 (up) since last check |
| Trust Flow (Majestic) | 0 | 5 |
| Citation Flow (Majestic) | 12 | 32 |
| Referring domains (Majestic) | 33 | 397 |
4 details filled in for both companies.
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