This web content explores OpenAI’s Structured Output feature, demonstrating how to extract data from financial disclosure reports and police blotters using the Python SDK and pydantic for schema definition. The results show efficiency in data extraction even with minimal schema definition effort. OpenAI’s API offers cost-effective solutions for large-scale data gathering from public documents. The model successfully infers data relationships based on field names without detailed instructions. The examples provided showcase the effectiveness of the gpt-4o-mini model in accurately parsing different types of data, including irregular police blotter narratives. Overall, the demos reveal the model’s capability in understanding and extracting structured information from diverse document formats.
https://gist.github.com/dannguyen/faaa56cebf30ad51108a9fe4f8db36d8