Qwen 2.5-VL has the following unique capabilities for document parsing:
- Complex format recognition:Handles specialized documents containing handwritten text, complex tables, chemical formulas, and technical diagrams
- Multi-language support:Ability to parse mixed language documents
- Layout Understanding:Understand the physical and logical structure of a document, such as distinguishing between headings, body text, and footnotes
- Structured Output:Convert free-form documents to structured data such as JSON
Specific methods for extracting tabular data:
- Upload PDF documents or images containing forms to the system
- Building Messages with the "Extract Table Data" Directive
- The model returns structured tabular data, usually in the format:
[{"ColumnName1″: "Value1″, "ColumnName2″: "Value2"},...] - Specify data extraction for specific tables or columns as needed
Special Features:
- Ability to handle cross-page tables and complex merged cells
- Support for semantic annotation and categorization of form content
- Handwritten tabular figures from scans can be converted into a calculable format
This answer comes from the articleQwen2.5-VL: an open source multimodal grand model supporting image-video document parsingThe
May not be reproduced without permission:AI productivity tools " What are the unique capabilities of Qwen 2.5-VL in document parsing? How to extract table data?
