As of 13 August 2026, AI can check an invoice for errors.
This still needs a person who signs their name to it.
Can you do it?
5 minutesto a draft.
30 minutesto something you’d act on.
Cost, all in£0
Skill neededchat-fluent
Who has to check ityou
What the alternative costsThe listed tools data provides no price for a human invoice-checking alternative.
If this goes wrong: you approve an incorrect invoice, miss a VAT or contract issue, and have to recover the money or correct your records later.
What to actually do
Hand it to a person
The route this page recommends
A person who owns the outcome does this end to end, worth it when the failure is dear.
Use a tool built for this
Second choiceDo it yourself
The distant thirdA chat interface, chat-fluent skill, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open the invoice as a PDF or image and gather the matching purchase order, delivery record, current price list, supplier details and payment record.
- Remove unrelated personal or customer information, then paste or upload the invoice and supporting documents into a chatbot or document-processing tool.
- Paste the prompt and ask the model to extract every invoice field before it assesses any error.
- Compare the model's arithmetic flags with the original invoice and recalculate the line totals, subtotal, VAT amount and total in your accounting system or spreadsheet.
- Check each price, quantity, delivery item, supplier bank detail and payment term against the matching source document, marking unsupported flags as unresolved rather than correcting them automatically.
- Ask your accounts colleague or accountant to review any VAT treatment, contract dispute, changed bank detail or suspected duplicate before you approve, dispute or post the invoice.
Prompt
Check the attached UK business invoice for errors. Extract the invoice number, supplier, customer, invoice date, due date, line items, quantities, unit prices, discounts, subtotal, VAT rate, VAT amount, total and payment details. Compare it with the purchase order, delivery record, agreed price list and supplier details that I provide. Recalculate every line, subtotal, VAT amount and total. Flag missing or inconsistent information, duplicate invoice numbers, unusual price or quantity changes, incorrect dates, and possible VAT or payment-detail issues. Do not assume a VAT treatment is correct, do not invent missing information, and do not decide whether a disputed charge is contractually payable. Put the result in a table with columns for issue, evidence, source document, confidence and action needed. Separate definite arithmetic or data mismatches from items that need a person to investigate. End with a short list of checks I must complete before approving payment. This is not professional advice. For a serious VAT issue, disputed invoice or suspected fraud, tell me to ask an accountant or the relevant bank or authority.
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- It cannot know whether a charge is contractually payable unless you provide the relevant agreement and someone interprets it.
- It can flag a VAT inconsistency but cannot reliably determine the correct treatment for an unusual supply.
- It cannot confirm that changed payment details belong to the supplier without an independent contact check.
- It cannot tell whether a missing item reflects a genuine delivery issue or an internal receiving error.
- It does not carry responsibility for approving the invoice or correcting your accounting records.
Even on a YES, the friction has a name: judgement under ambiguity, verification cost and legal accountability.
How we scored this
Five axes, each scored nought to two by hand: ten means AI carries the task cleanly, and the thresholds that turn a total into YES, PARTLY or NO are published in the methodology. Each axis name links to its definition.
| Axis | Score (0–2) |
|---|---|
| Output | 2 |
| Inputs | 2 |
| Verification | 1 |
| Liability | 1 |
| Effort delta | 2 |
| Total | 8 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT check an invoice for mistakes?
- Yes. It can extract the fields, recalculate the totals and compare the invoice with a purchase order, delivery record or price list. Check every flag against the original documents before approving payment.
- Can AI check if VAT on an invoice is correct?
- It can identify missing VAT details, inconsistent rates and arithmetic problems, but unusual VAT treatment still needs an accountant's judgement. This is not professional advice. Ask an accountant about a serious VAT issue.
- Can AI detect duplicate invoices?
- Yes, if you give it the relevant invoice history or connect it to records containing invoice numbers, suppliers, dates and totals. Confirm a suspected duplicate in your accounting system before blocking or paying it.
- Is it safe to upload invoices to AI?
- Only upload information that the tool and your organisation permit you to share, and remove unnecessary personal or payment data. Do not rely on AI alone for changed bank details or suspected fraud, and contact the supplier through a trusted channel.
Nearby answers
Assessed by gpt-5.6-luna (gpt-5.6-luna) on 2026-08-13, second-checked by an independent model. Wrong somewhere? Email [email protected] and it gets re-checked.
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