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Table workflow

Convert receipt images into a structured review table

Start with receipt attachments, run the configured extraction fields only for the selected rows, and review merchant, address, category, structured values, and full OCR text beside the original image.

Kition workspace
Kition receipt images beside extracted merchant, category, structured data, and OCR text

Best for

Bookkeepers, finance operators, assistants, and small businesses that need searchable receipt records without losing the source evidence.

Input

Receipt image attachments and a defined schema for the fields the reviewer needs.

Output

Traceable table records with source images, extracted values, structured JSON, OCR text, and visible incomplete rows.

The operational gap

Why this work breaks across separate tools

A folder of receipt images is difficult to search, while standalone OCR output is easy to separate from the file it came from. Errors then move downstream without a clear review surface.

What Kition changes

Keep the source, the Agent, and the result together

Kition keeps one receipt per row. The attachment remains visible, extracted fields can be corrected directly, and incomplete records stay in the same queue instead of disappearing behind a failed batch.

How it works

A complete, reviewable workflow.

The goal is not a clever prompt. It is a visible chain from source material to an approved artifact that can be reused.

01

Create one record per receipt

Attach each source image once and preserve a stable file name so the output remains traceable.

02

Run selected extraction fields

Generate only the merchant, address, category, structured, or OCR cells required for the current review.

03

Compare with the source

Check currency, vendor, dates, tax, totals, and ambiguous text against the actual image.

04

Approve or retain as incomplete

Correct reliable values and keep malformed receipts in a visible review state without blocking valid rows.

Human review

Check this before the work moves forward

  • Require exactly one table record per source receipt.
  • Verify financial values against the image before export.
  • Do not allow one malformed receipt to invalidate the completed rows.

Outcome

What remains after the Agent finishes

  • Receipt images become searchable records
  • Source evidence remains attached to extracted values
  • Incomplete rows stay visible for correction
  • Approved records can be filtered or exported
Build this solution

Use the product guides, then adapt the workflow.

Start from the documented Kition objects and keep only the fields, review points, and automation your process actually needs.

Ready when you are.

Kition is a desktop AI workspace for connected documents, structured tables, editable designs, whiteboards, visual workflows, and reviewable AI agents.