Engineering Implementation and Application of Intelligent Document Parsing
Chatly's document engine utilizes a hybrid architecture of OCR+T5 models, supporting in-depth parsing of 12 formats including PDF and Word. When a lawyer uploads a 200-page contract, the system performs distributed processing in the cloud: the first stage extracts text and structural elements (clause numbers/signature blocks), the second stage recognizes key legal concepts (e.g., "confidentiality clauses", "breach of contract") through an attention mechanism, and finally generates an interactive summary with hyperlinks. The second stage identifies key legal concepts (e.g. "confidentiality clauses", "liability for breach of contract") through an attention mechanism and finally generates an interactive summary with hyperlinks. Tests have shown that this process can compress contract review time from 8 hours to 30 minutes.
The application in the field of education is equally remarkable, after students upload academic papers, AI can not only automatically generate a list of references, but also correlate related theories through the knowledge graph. The technical white paper shows that its table recognition accuracy is 98.7%, far exceeding that of professional tools such as Adobe Extract. The security aspect uses end-to-end encryption, and sensitive documents automatically destroy the original files 72 hours after analysis.
This answer comes from the articleChatly: Intelligent Chat and Content Generation Tool with Integration of Multiple AI ModelsThe
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