Turn receipt images into searchable, reviewable records
Drop receipt photos into an attachment field and use AI fields to extract the merchant, address, expense category, structured values, and full text. Every result remains attached to the source image so it can be checked, corrected, filtered, and exported.
Best for
Finance teams, operators, accountants, assistants, and small businesses that need to organize receipts without building a custom OCR pipeline.
Input
Receipt image attachments and a table schema for the fields your process needs.
Output
Editable records with the source image, extracted values, structured JSON, and OCR text.
The operational gap
Why this work breaks across separate tools
Receipt data often starts as a pile of images. Standalone OCR can return text, but the result is disconnected from the source, difficult to correct in bulk, and not ready for filtering, approval, or downstream reporting.
What Kition changes
Keep the source, the Agent, and the result together
A Kition table becomes both the processing queue and the review surface. Typed fields define the data you need, vision-capable AI fields extract it per row, and the original receipt remains visible beside the result. Approved rows can be filtered, summarized, or exported as CSV.
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.
Attach the source files
Create one row per receipt and keep the image in an attachment field as the permanent reference.
Extract typed values
AI fields read the image and fill merchant, address, category, date, totals, tax, JSON, or any schema your process requires.
Review in the table
Compare each value with the receipt, correct ambiguous text, and group or filter records that need attention.
Use the approved data
Export clean rows, summarize expenses with the Agent, or pass approved records into another workflow.
Human review
Check this before the work moves forward
- Compare totals, currency, taxes, and line items with the source image.
- Correct ambiguous merchant names, dates, and expense categories.
- Require human approval before sending extracted values to accounting systems.
Outcome
What remains after the Agent finishes
- Source files and extracted values never lose their relationship
- The table doubles as a queue, database, and QA surface
- Schemas can be adapted without rebuilding a separate application
- Approved records are ready for filtering and export
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.