Text Extraction

Extract typed structured data from free-form text. The output is a Pydantic object whose schema you control. The most common labeling shape in production today.

Files

basic.py — text → flat typed object (single record).
with_confidence.py — adds per-field confidence using a shared ConfidentField wrapper.
nested.py — extract a list of nested sub-objects (action items, line items, attendees, etc.).

When to use

Pull contact info out of an email signature.
Extract action items from a meeting transcript.
Lift fields from unstructured user input into a database row.

If you only need a single label, use _01_text_classification/. If you need character positions of mentioned entities, see _04_text_span_labeling/.

Run

bash

python cookbook/data_labeling/_03_text_extraction/basic.py
python cookbook/data_labeling/_03_text_extraction/with_confidence.py
python cookbook/data_labeling/_03_text_extraction/nested.py

Requires OPENAI_API_KEY.