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A field represents one piece of information inside a schema. Examples:
  • Invoice number
  • Issue date
  • Total amount
  • Vendor name
Fields are the most important part of data quality. Clear fields lead to better results and less review. Fields panel

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The three field properties

Every field has at least three properties.
A human-readable label that still makes sense outside anyformat.Examples: invoice_number, issue_date, total_amount.Use snake_case so the name is safe to use as a JSON key or column header.
Tells anyformat what kind of value to expect (text, date, number, etc.).The type improves consistency, validation, and output quality. See Field types for the full list.
Plain-English guidance for how to extract the value.Example: “Extract the final total including taxes. Ignore subtotals.”See Instructions for how to write good ones.
Field properties

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Field source — extraction vs. smart lookup

Every field also has a source that tells anyformat where its value comes from — read directly off the document (the default), or resolved by matching against a reference file you attach. See Smart Lookup for how that works and when to use it.

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What’s next?

Field types

The full list of types — text, date, number, object, enum, multi-select

Instructions

Write effective extraction instructions

Smart Lookup

Enrich extracted values against a reference file