Receipt OCR — Proposed Guide

Planned API — Reference Only

Receipt OCR: OCR could propose text and field candidates from receipt images. Extracted values should be treated as uncertain evidence rather than an…

Overview

OCR could propose text and field candidates from receipt images. Extracted values should be treated as uncertain evidence rather than an authoritative financial record.

Key concepts

Preserve field confidence, source text and employee corrections. Distinguish document recognition from expense classification.

Implementation considerations

No OCR capability is activated here. A future workflow needs human review, privacy boundaries and evaluation of extraction errors before financial use.

Illustrative data model

This local fixture shows a possible representation for the concepts above. It is not an endpoint response, production configuration or a claim that the described capability is implemented.

JSON fixture

Fictional concept fixture

{
  "reference_only": true,
  "topic": "Receipt OCR",
  "receipt_id": "receipt_example_123",
  "merchant": "Example Office Supply",
  "amount_minor": 12550,
  "confidence": 0.82
}

Design review checklist

Document which organization owns the receipt ocr representation and which actor may view or change it.
Test the boundaries of receipt id, merchant, amount minor, confidence using synthetic values, including missing or inconsistent references.
Before future implementation, obtain an approved contract and review failure behavior. This documentation does not authorize production activation.

Proposed data types

Illustrative field dictionary
Name	Type	Description
receipt_id	string	Stable fictional receipt reference; not a secret and not evidence that a resource exists.
merchant	string	Fictional merchant label; it does not establish policy compliance or ledger coding.
amount_minor	integer	Monetary amount in the documented currency minor unit; 12550 represents USD 125.50, not USD 12,550.
confidence	number	Illustrative confidence score, not evidence of implemented OCR or fraud detection.

Receipt Uploads

Expense Management

Expense Policies