| What it does | Document layer for enterprise AI that turns PDFs, images, and spreadsheets into LLM-ready JSON and Markdown
| Motion transfer and object swap video generator
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| Stage | Not given
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| Founded | Not given
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| Based in | US
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| Pricing model | Not given
| Freemium
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| Pricing | Free/Hobby: $0, up to 2,000 pages included, $0.015 per additional page. Standard: $250/month, includes up to 20,000 pages, $0.012 per additional page. Enterprise: Custom per-page rate with volume-based pricing.
| Free: 18 starting credits plus up to 60 weekly check-in credits. Starter: $8.3/month or $100.0/year (2,400 credits/year). Pro: $30.0/month or $360.0/year (21,600 credits/year), 40% off. Business: $49.9/month or $599.0/year (48,000 credits/year), 50% off.
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| Key features | - Parse documents to LLM-ready Markdown with vision models that preserve structure
- Extract fields into JSON with domain-awareness and confidence scores
- Split multi-document files with parent-child indexing
- Attention-guided heatmaps for reading pages like humans
- Dual-stream vision model processing data and layout in parallel
- Domain-specific decoder trained on millions of enterprise documents
- Supports multiple file types: PDFs, images, Word, Excel, PowerPoint, scans
- Deployment options: managed cloud, VPC, on-premises, or air-gapped
- REST API and Studio dashboard for integration
- Schema-validated outputs with cross-field constraints
| - Motion transfer to recast performances with new people or pets
- Object swap to feature different products, vehicles, or props in scenes
- Community presets with ready-made setups and reference clips
- Support for multiple reference images and video uploads
- Multiple AI models: Seedance, Kling, and Wan
- Resolution options up to 4K for images and HD for videos
- Custom prompt support for more control over generations
- Video history and watermark-free downloads with paid plans
- Motion templates with dance, sports, and gesture options
- Shared credit system across image and video generation
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| What makes it different | - #1 ranked accuracy on olmOCR-Bench against leading frontier labs and IDP vendors
- Only solution that reliably handled complex tables and nested formats where others failed
- Simple per-page pricing with no credit-based ambiguity
- Preserves document structure and hierarchy unlike traditional OCR
| - Video reference approach that lets you show action instead of describing every movement
- Single credit system unified across all image and video models
- Community presets that combine clip, reference images, and instructions in one setup
- Support for object swap effects on reflections, labels, edges, and surrounding details
- Flexible model selection with different capabilities for motion control and photo orientation
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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 |
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| DR (Domain Rating by Ahrefs) | 46 ▲ +1 (up) since last check | 31 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 10 | 4 |
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| Citation Flow (Majestic) | 27 | 29 |
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| Referring domains (Majestic) | 237 | 57 |
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Unsiloed AI
Genjutsu AI