I need to extract specific data points (like dates, names, or numbers) from an online document and I keep missing them when I scan manually.

This feature helps you extract specific data points—such as dates, names, and numbers—from an online document more reliably than manual scanning. It reduces overlooked details by guiding you to the exact fields you need and surfacing matches consistently.

This feature is designed for situations where you need to pull precise data points (for example dates, names, IDs, totals, or reference numbers) from an online document and manual scanning is error-prone. It enables you to specify what kinds of data you are looking for and then locate those items within the document. Instead of relying on visual review, you can use structured extraction to identify and capture relevant values consistently. This is useful when documents are long, formatted inconsistently, or contain repeated fields that are easy to mix up. The workflow supports faster review by focusing attention on the specific details you care about rather than the entire page. It also helps reduce omissions by ensuring all requested data types are checked for and returned. Typical use cases include reviewing contracts for key dates, extracting names from forms, capturing invoice totals, and collecting reference numbers for reporting. By standardizing how data points are found and captured, the feature improves accuracy and saves time compared to manual scanning. It is especially helpful when you need to repeat the same extraction task across multiple documents and want consistent results each time.