LayoutLMv3 - Multimodal Document AI
A pre-trained multimodal Transformer model for document AI, integrating unified text and image masking for tasks such as form understanding, receipt processing, and document layout analysis.
About Model
LayoutLMv3 is a pre-trained multimodal Transformer designed for document AI, utilizing unified text and image masking to enhance document understanding. Its unified architecture and training objectives make it a versatile, general-purpose model that can be fine-tuned for both text-centric and image-centric tasks. These include form and receipt understanding, document visual question answering, document layout analysis, and classification. Developed as an improvement over its predecessors, LayoutLMv3 is well-suited for applications in OCR, automated document processing, and AI-driven document workflows.
LayoutLMv3 - Multimodal Document AI
Metadata
Attribution-Non-Commercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Yiheng Xu, Minghao Li, Lei Cui, Shaohan Huang, Furu Wei, Ming Zhou
Transformers
Other
Open
Sector Agnostic
20/08/25 11:44:40
0
Activity Overview
0
7 
461 
0
Tags
- Transformers
- PyTorch
- tensorflow
- ONNX
- safetensors
- English
- layoutlmv3
- inference endpoints
License Control
Attribution-Non-Commercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
More Models from Microsoft Corporation (India) Pvt. Ltd.
- 0
- 5
- 0
143
- 0
- 5
- 0
- 96
- 0
- 5
- 0
- 73
- 0
- 2
- 0
- 96
- 0
- 3
- 0
- 69
- 0
- 3
- 0
- 81
- 0
- 5
- 0
- 82
- 0
- 4
- 0
- 74
- 0
- 5
- 0
- 104
- 0
- 72
- 0
- 967
© 2026 - Copyright AIKosh. All rights reserved. This portal is developed by National e-Governance Division for AIKosh mission.