This is achieved through Docstrange's batch processing and smart field extraction features:
- Use command line wildcards to process multiple files:
docstrange contracts/*.pdf --output json --extract-fields contract_number parties total_value - or batch processing via Python scripts:
for file in glob.glob("contracts/*.pdf"):
result = extractor.extract(file)
data = result.extract_data(schema=predefined_schema) - It is recommended to define the JSON data structure specification first:
schema = {"contract_number":"string","parties":["string"],"total_value":"number"} - For enterprise-level requirements, NanoNets cloud API can be used to enhance processing efficiency.
This program reduces the manual review process, which traditionally takes days, to a few minutes.
This answer comes from the articleDocstrange: a tool for extracting data from documents and images and converting them to multiple formatsThe
May not be reproduced without permission:AI productivity tools " How to quickly achieve key field extraction for batch processing of hundreds of contract documents?
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