Multimodal Data Processing Architecture
AutoAgent integrates an advanced document parsing engine that supports automatic recognition and content extraction of more than ten file formats such as PDF, Word, Excel, images and so on. Its core technology lies in the combination of traditional OCR/NLP technology and large language models, building an end-to-end file intelligent processing pipeline. Users only need to submit files through the "upload" command, the intelligent body can automatically identify the content type and call the corresponding processing module.
Typical Functional Scenarios
- Automatic summarization of PDF documents with key information extraction (89.21 TP3T accuracy)
- Intelligent analysis and visual presentation of tabular data
- Text Recognition and Structured Processing in Images
- Cross-document knowledge graph construction
Industry Applications
In contract review scenarios in the legal field, AutoAgent can simultaneously process hundreds of pages of PDF agreements, automatically mark key clauses and generate risk assessment reports, working 80 times more efficiently than manual review. This capability has led to its rapid popularity in the financial, medical, and education industries.
This answer comes from the articleAutoAgent: a framework for rapid creation and deployment of AI intelligences through natural languageThe
