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As of 13 August 2026, AI can only partly verify your product labels.
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 ita professional
What the alternative costsNo sourced alternative price is provided here.
If this goes wrong, a missing declaration or incorrect warning can force relabelling, product withdrawal or a regulatory problem after sale.
What to actually do
Hand it to a person
The route this page recommends
Someone with a licence or accountable authority has to sign this before it counts.
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 current approved product specification, ingredient list, artwork and packaging requirements, and confirm that each document relates to the same product version.
- Photograph or export the complete label at readable resolution, including every panel, fold, sticker, barcode area and variable field, then attach it to a chatbot.
- Paste the target market, product name, pack size, approved wording and all relevant source documents into the prompt.
- Ask the chatbot to extract the label text before comparing it with the approved documents, and require a table of matches, mismatches, missing items and unclear items.
- Compare every reported difference against the current approved specification and mark whether it is a genuine error, an approved variation or an unresolved question.
- Ask a UK labelling or regulatory specialist to assess unresolved legal points, claims, warnings, allergens and any requirements the supplied documents do not cover.
- Send the corrected artwork through your normal approval process and retain the label, source documents, AI comparison and professional sign-off as the version-control record.
Prompt
Act as a quality-control assistant for a UK product label. Compare the attached label image or PDF with the supplied approved specification, ingredient list, product data sheet, packaging requirements and target market information. Extract the label text first, preserving wording, numbers, units, allergens, warnings, dates and claims exactly as printed. Then produce a table with: label item, expected item, status as match, mismatch, missing or unclear, evidence from the supplied documents, and a precise correction or question. Check spelling, duplicated or omitted text, numerical differences, units, net quantity, storage instructions, preparation instructions, batch or date fields, contact details, country-of-origin statements, warnings, allergens and marketing claims where the supplied documents address them. Do not invent missing facts, infer legal compliance, or approve the label for sale. Separate factual differences from matters that require a UK labelling or regulatory specialist. State which source document supports every finding and list any source documents or physical checks still needed. Use only the information supplied here. Product details: [product name and type]. Target market: [UK nations or other markets]. Label files: [attach files]. Approved source documents: [paste or attach documents].
Open it prefilled in ChatGPT or Claude, or copy it into Gemini, which takes no prefill link.
What it gets wrong
- AI cannot establish that a label meets every UK rule when the relevant product category, market or claim requirements are not fully supplied.
- AI cannot reliably inspect print quality, colour accuracy, barcode readability, material, adhesive, placement or text hidden by folds and packaging.
- AI cannot know whether an ingredient, warning, origin statement or marketing claim is legally appropriate without authoritative and current product-specific evidence.
- AI cannot accept liability for releasing a wrong label, withdrawing stock or dealing with enforcement action.
- AI cannot replace approval by the person responsible for regulatory compliance in your business.
What caps this at PARTLY: legal accountability, verification cost and context depth.
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 | 1 |
| Verification | 1 |
| Liability | 0 |
| Effort delta | 2 |
| Total | 6 / 10 |
The methodology and its thresholds are published in full.
FAQ
- Can ChatGPT check my product label?
- Yes, it can extract the wording and compare it with an ingredient list, specification or approved artwork. It cannot by itself confirm that the label complies with every UK requirement or approve it for sale.
- Can AI check food labels for allergens?
- AI can compare the allergen information it can read on the label with the ingredients and allergen list you provide. A person with responsibility for UK food labelling must verify the source data, the presentation and the legal outcome.
- Can AI check whether my packaging is legally compliant?
- Not reliably as a complete compliance decision. It can find missing or conflicting text, but product category rules, claims, physical packaging and current requirements need checking by a UK labelling or regulatory specialist.
- What files do I need to give AI to check a label?
- Give it a clear image or PDF of every label panel, plus the current approved artwork, product specification, ingredient list, pack size, warnings, claims and target market. Incomplete or outdated source documents produce an incomplete comparison.
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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