Solution Background
When working with scanned PDFs or complex documents, manually extracting table data is both time consuming and error prone.UnDatas.IO accurately segments table areas in mixed content through AI-driven layout recognition technology.
Specific steps
- API Integration Preparation: Install the Python libraries first
pip install undatasioIf you want to use your API key, you need to configure the environment variable to fill in your API key. - Document Upload: By
UnDatasIOAfter the class is initialized, pass in the document path or binary stream directly - Smart Classification: Call
get_result_type()Automatic recognition of table objects in documents - format conversion: Output tables to structured formats such as CSV/Excel through supporting methods
advanced skill
For fuzzy scans, it is recommended to first use theOPENAI_API_KEYIntegrate Qwen model for image enhancement processing (refer to the code example in the article). When dealing with complex merged cells, the API can be called multiple times for sub-regional extraction.
This answer comes from the articleUnDatas.IO: API service for accurate parsing of various types of unstructured data (paid)The
May not be reproduced without permission:AI productivity tools " How to solve the problem of form extraction of unstructured data such as PDF/scanned documents?
