Eightify vs Linum
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Eightify compared with Linum
| Detail |
Eightify |
Linum |
| What it does | AI YouTube Video Summarizer
| 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 | US
| US
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| Pricing model | Paid
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| Pricing | Not given
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| Key features | - AI-Powered Insights - Extract key ideas from any video directly in YouTube
- Smart Navigation with timestamped summaries
- Top Comment Overview to see if video is useful
- Video to Text transcription outperforming YouTube subtitles
- Multilingual Support in 40+ languages
- Easy Sharing of summaries as articles
- Mobile app availability on iOS and Android
- Summarize videos of any length
- Support for podcast videos and news content
- Summarize user-created YouTube content
| - 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 | - Saves over 6 hours per week on videos
- Learn 10x faster with concise summaries
- Trusted by 500,000+ users worldwide
- Superior transcription quality compared to YouTube's built-in subtitles
- Works as a leading YouTube Video Summarizer due to accuracy, speed, and user-friendly interface
| - 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) | 64 ▼ −1 (down) since last check | 44 ▲ +1 (up) since last check |
| Trust Flow (Majestic) | 16 | 5 |
| Citation Flow (Majestic) | 29 | 32 |
| Referring domains (Majestic) | 1671 | 397 |
4 details filled in for both companies.
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