Mindket

Read an invoice

Newversion 1 · updated

Overview

An invoice or receipt as a line-item table, with the totals checked

Read an invoice is an AI prompt skill in the Finance & accounting category, listed by Mindket. It is free. This is version 1, last updated on . Copy its prompt from this page into any AI chat and put your text where it says {{input}}.

Platform

Any AI chatIts prompt pasted in

The prompt

Extract this invoice or receipt (the page, or the file or picture I attached) into tables.{{#input}} Also: {{input}}{{/input}}
First the header: vendor, invoice number, issue date, due date, currency, buyer.
Then the line items with columns: Description, Quantity, Unit price, Discount, Tax rate, Line total.
Then check the maths: the line totals plus tax and shipping against the stated total, and show any difference. Copy numbers exactly as printed, and write "not shown" instead of guessing.

Copy it into any AI chat and put your question or text where it says {{input}}. Get it, and it stays on your Mindket account to copy again.

How to use it

Get it on your Mindket account, and View it shows its prompt to read and copy. Paste it into any AI chat and put your text where it says {{input}}.

What’s new

  • Version 1 · 2026-11-03

Reviews

No ratings yet

Write a review

No reviews yet.

More from Mindket

See all from Mindket

anaksor-ocr

Sokheng · Kit

Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…

New

Qwen2.5-7B-Instruct as GGUF files in eight quantization sizes, to chat with locally through llama.cpp. For people who want a capable 7.6B model on their own co…

New

ACE-Step 1.5 XL SFT

ACE-Step · Kit

Generates music from text with a 4B diffusion decoder, 50 steps and guidance control, aiming for higher audio quality than the base. For creators with a GPU of…

New

Similar in Finance & accounting

See all in Finance & accounting

Kronos-mini

NeoQuasar · Kit

Forecasts financial candlestick series with a 4.1M-parameter foundation model trained on data from over 45 exchanges. For quant researchers and developers who…

New