LayoutLM

LayoutLM is a multimodal document understanding model that combines text, document layout, and visual information to analyze and extract meaningful information from structured documents. It is suitable for processing forms, invoices, receipts, scanned documents, and other document-based applications.

Features of LayoutLM:

• Combines textual and layout information for document understanding.
• Supports document information extraction and classification tasks.
• Can process structured documents such as forms, invoices, and receipts.
• Uses document layout and text positioning to improve contextual understanding.
• Can be integrated with Python and Hugging Face Transformers-based applications.

LayoutLM usage:

$ sudo su
$ apt update
$ cd /opt/layoutlm
$ source /opt/layoutlm/venv/bin/activate

$ verify installation:

# python -c "from transformers import LayoutLMModel; print('LayoutLM: OK')"

Disclaimer: LayoutLM is an open-source model developed and maintained by its respective contributors. It is provided as a document understanding and information extraction tool. Users are responsible for configuring and using the software in accordance with their organizational requirements, applicable licenses, privacy requirements, and relevant terms and policies.