| What it does | Document layer for enterprise AI that turns PDFs, images, and spreadsheets into LLM-ready JSON and Markdown
| Open-source SDXL-based AI model for native high-resolution anime art generation
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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
| Open source
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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 for personal and research use; prohibits closed-source proprietary monetization
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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
| - Native 1536x1536 high-resolution generation without upscaling
- Hybrid Prompting System combining natural English and Danbooru tags
- Stable text encoder fine-tuning for superior concept understanding
- Trained on comprehensive Danbooru2023 dataset
- Full compatibility with ComfyUI, Automatic1111, Forge, and Draw Things
- Superior anatomy rendering with flawless hands and character details
- V-Prediction architecture for enhanced dynamic range and contrast
- Highly flexible base canvas for LoRA training and custom checkpoints
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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
| - Only open-source SDXL model natively trained at 1536x1536 resolution
- Stylistically neutral untuned base canvas unlike Pony Diffusion
- Continuous rapid iterations from v0.1 to v3.5 with aggressive optimization
- Thousands of compatible community-trained LoRAs and derivatives
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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 | 13 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 10 | 5 |
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| Citation Flow (Majestic) | 27 | 19 |
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| Referring domains (Majestic) | 237 | 45 |
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Unsiloed AI
Illustrious XL