LangExtract has been designed with a number of easy-to-use features to make it less difficult to use:
- Example Driver: only a few examples are needed (e.g., the Shakespeare text parsing case), no need to write complex rules
- Visualization Support: By
lx.visualize()
Generate interactive HTML reports to visualize extraction results - Preset DemoRadExtract online demo (HuggingFace Spaces) for direct experience with radiology report processing.
- Simple API: Core functionality only
extract()
cap (a poem)save_annotated_documents()
Two main functions
For users who do not know programming at all, it is recommended to start from the official sample code and modify the text and fields in the sample to complete the basic extraction task.
This answer comes from the articleLangExtract: open source tools to extract structured data from textThe