Home · Business · Finance & Accounting · Invoicing & credit control
As of 13 August 2026, AI can extract data from your invoices.
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 needednone
Who has to check ityou
What the alternative costsNanonets and Parseur are purpose-built AI document-processing tools for extracting data from invoices, receipts, forms and PDFs.
If this goes wrong: an incorrect supplier, amount, due date or VAT value reaches your bookkeeping or payment process and has to be corrected.
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, no skill needed, and roughly 30 minutes until you can act on the result.
How to actually do it
- Open the folder, email attachments or accounting system containing the invoices and collect the original PDFs or clear image files.
- Remove duplicate files, then rename each invoice with a simple reference so you can match the extracted row back to its source.
- Open an approved AI chat or invoice extraction tool, check its privacy and data-retention settings, and upload the invoices.
- Paste the extraction prompt and ask for the result in CSV-compatible form with a source page or location for every value.
- Copy the table into a spreadsheet and compare every supplier, invoice number, date, amount, VAT value and bank detail against the original invoice.
- Filter the spreadsheet for REVIEW, blank fields and totals that do not match the invoice, then correct them from the source or leave them unresolved.
- Send the checked table to your bookkeeper or accountant for any VAT treatment, unusual invoice, foreign currency issue or disputed charge before importing it into your records.
Prompt
Extract data from the attached UK invoices into a table. Use one row per invoice line where line items are visible, otherwise use one row per invoice. Include: supplier name, supplier address, invoice number, invoice date, payment due date, purchase order number, currency, description, quantity, unit price, net amount, VAT rate, VAT amount, gross total, bank details if shown, and the source page or location for each value. Preserve the invoice wording and figures exactly. Do not guess, calculate missing values, infer VAT treatment, or correct apparent errors. Mark any field that is missing, unclear, inconsistent or unreadable as REVIEW and explain why. Keep invoice totals separate from line-item values. Return CSV-compatible output in a code block, followed by a short REVIEW list. Do not include information that is not present on the invoices.
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- AI cannot reliably decide whether an unusual purchase is treated correctly for UK VAT or bookkeeping.
- AI cannot resolve a blurred, contradictory or incomplete invoice without someone obtaining the correct document.
- AI cannot know whether supplier bank details have changed or whether a payment request is fraudulent.
- AI cannot take responsibility for the figures entered into your accounts, VAT records or payment process.
- Uploading invoices to a third-party tool can expose supplier, bank and transaction data unless you check the service's privacy controls.
Even on a YES, the friction has a name: verification cost, stakes of error and private data access.
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 extract data from invoices?
- Yes. Upload clear invoice files and ask for fixed fields, exact transcription, source locations and a REVIEW label for anything missing or unclear. Compare the output with every original invoice before using it in your accounts.
- What information can AI extract from an invoice?
- It can usually extract supplier details, invoice numbers, dates, line items, quantities, prices, net totals, VAT amounts, gross totals and payment details when they are visible. It should not guess missing values or decide the correct accounting treatment.
- Is it safe to upload invoices to AI?
- It can expose supplier, bank and transaction information, so check the tool's privacy, retention and access settings before uploading. Redact information that is not needed, and do not use the result without checking it against the original documents.
- Can AI enter invoice data into my accounting software?
- Some specialist tools can help prepare or transfer extracted data, but the transfer does not make the data correct. Check suppliers, totals, VAT and payment details first, and ask your accountant about unusual or high-value items; this is not professional advice.
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.
The newsletter
AI news, new answers and product picks, straight to your inbox.