Professional Solution for Accurate and Rapid Document Layout Analysis
Synap DocAnalyzer is an essential solution for digital assetization
and building LLMs using RAG. It analyzes visual information such as tables and images from various documents and converts complex document structure information into structured data in Markdown and XML formats.
The best start to easily analyze complex document and
turn them into valuable assets!
Features
Maximizing data use with diverse document support and accurate analysis
Supports various business document formats
✔ Wide range of document formats supported, including HWPX, MS Office, PDF, and images, it can handle most of the document types that companies possess.
Perfect analysis of hidden document structures
✔ Detailed document structure information such as Titles, paragraphs, headers, footers, page numbers, captions, and lists.
✔ Visual information such as tables and images.
Highly usable output fotmat
✔ Supports Markdown for building LLM(large language model)
✔ Supports XML for developing corporate databases
Demo Video
Check out our innovative document structure analysis technology through the demo video
Field of Use
Synapse DocuAnalyzer provides value by applying its applications to a wide range of applications
LLM model training
Understanding diverse documents and building LLM models from existing ones.
Conversational AI
Improving NLP and developing conversational AI through document understanding, including tables and images.
Work Automation (RPA)
Building an automation system by extracting only the necessary information.
Digital Archive
Structuring unstructured documents and building a large-scale digital archive
Specification
Hardware |
• CPU : above Intel Xeon 3GHz 8cores 16Threads • Memory : above 128GB • Storage(HDD) : above 10GB • GPU : NVIDIA GPU above 24GB memory and CUDA cores |
Supported OS |
64-bit Linux system of x86 architecture• Debian-based : Ubuntu 20.04 x86_64• Red Hat-based : CentOS 8 x86_64 |
Product Components |
• Installation Module, License, Manual |
