ATH-MaaS/OvisOCR3
image-text-to-text model by ATH-MaaS
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Model card & documentation
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Technical Report | Online Demo OvisOCR3 is a unified 0.8B multimodal model for OCR and document understanding. It integrates document parsing, general OCR, key information extraction, document figure captioning, and cross-page table reconstruction into a single compact model. These capabilities are selected through task-specific prompts, bringing recognition, extraction, and understanding together without requiring separate model deployments for each task. Built on Qwen3.5-0.8B, OvisOCR3 is trained in four stages: continued pretraining, mid-training, on-policy distillation, and reinforcement learning. This training process builds a strong foundation in text recognition and document structure understanding, then refines these capabilities through domain-specific supervision and rewards. OvisOCR3 achieves state-of-the-art performance among models of comparable size across all five domains, demonstrating that a single compact model can combine strong document parsing with a broad range of OCR and document-understanding capabilities. The task prompts specify the output contracts. The examples below use these files directly. Performance comparisons across five…
Read the full model card ↗ · Preview checked 2026-10-28T23:48:42.041Z
Inside the original model card — Document outline
- OvisOCR3
- Introduction
- Capabilities
- Performance
- Document Parsing
- General OCR
- Key Information Extraction
- Document Figure Captioning
- Cross-Page Table Reconstruction
- Inference
- Task-Specific Usage
- Document Parsing
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
ATH-MaaS/OvisOCR3 is a image-text-to-text model repository published by ATH-MaaS on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- transformers
- Recent downloads (30 days)
- 1,613
- Cumulative likes
- 79
- Hugging Face trending score
- 71
- Reported safetensors parameters
- 852,985,920
- Architecture
- Qwen3_5ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-21T02:36:27.000Z
- Last modified
- 2026-10-27T03:08:24.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3.5-0.8B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-28T06:46:49.966Z. Daily imports are snapshots, not real-time monitoring.
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