Food & Beverage /Document Generation live field guide · 8 min

Label Compliance Checker

Extracts every required field from a label — ingredients, allergens, nutrition panel, country of origin, net weight — and checks each against the current FSANZ Food Standards Code, flagging gaps and non-compliant wording with the standard reference, for the reviewer to clear before reprint.

Open the live demo

theater/demos/food-bev_label-compliance.html · sandbox · read-only

Open

FIG. 1

The live demo, running on fabricated data. Open it to step through the full flow — every output is shown for a person to approve before anything happens.

How it would work

Reads the label artwork against the Food Standards Code — ingredient order, the allergen declaration, the nutrition panel, date marking and country of origin — and lays every flag and its clause out for a regulatory coordinator to approve before the label goes to print.

Input 01

The artwork file

An uploaded label image or PDF for a new SKU or a revision — product name, ingredient list, allergen statement, nutrition information panel, date mark, country-of-origin claim and net weight.

Agent 02

Reads, checks, flags

Extracts each field, checks it against the current Food Standards Code — PEAL allergen rules, ingredient descending order, the NIP, date-mark format, country-of-origin — and attaches the clause that triggered each flag.

Output 03

A flagged report, working shown

A pass/warning/fail checklist with each flag, the clause behind it and a suggested fix, for a coordinator to confirm and approve, or send back to the designer for a reprint.

Where it works well

It runs the full Code checklist on every label, every time, and shows the clause behind each flag.

Done by hand it is 20–40 minutes per label, and the consistency check is the first thing skipped when a launch date is looming.
Best for a regulatory coordinator or QA manager clearing artwork regularly: new-SKU launches, recipe changes, customer-supplied artwork at a co-packer.
At dozens of SKUs a year, the recaptured hours go back into the judgement calls — claims substantiation, supplier queries — not the line-by-line cross-checking.

The slow, invisible cost of a label review is the cross-referencing — tracing each field back to a specific clause of the Food Standards Code in a document that gets amended, while the artwork itself keeps changing revision to revision.

Where it works badly

It is confidently wrong on anything it cannot literally read, and a clean report looks more trustworthy than the check behind it.

It checks the form of a declaration, not the truth of it — it cannot tell whether "gluten free" is substantiated by testing, only whether the words are present and formatted.
Weak on anything outside the label image — a cross-contamination "may contain" call depends on the line and the supplier specs, not the artwork, so it should flag for a human, not assert.
It reads what is on the page; it cannot know an allergen was left off because it was missed upstream in the recipe.

The honest test

If you cannot say which edition of the Food Standards Code, and which revision of the artwork, this was checked against — the tool just made your wrong answer faster, not safer.

Feed it low-resolution artwork, text rendered as part of an image, or a claim whose truth lives in a supplier document it never sees, and it returns a tidy, professional pass on a label that is not actually compliant. That is the trap.

What it doesn't do — and shouldn't

It drafts the compliance report. A person approves the label. That boundary is deliberate.

WHAT IT DOES

Surfaces each field it extracted and the clause it checked against

Flags pass, warning or fail with the specific Code reference and a suggested fix

Shows the allergen, ingredient-order, NIP, date-mark and country-of-origin checks side by side with the artwork

WHAT IT WON’T

Release the label to print

Certify the product as compliant with the Food Standards Code

Substantiate a claim, or confirm an allergen wasn't missed in the recipe

A non-compliant label carries real consequence under the Food Standards Code — a mislabelled or undeclared allergen is a leading cause of food recalls in Australia, enforced by FSANZ and state food authorities, with the product withdrawn from sale. The accountable coordinator stays on the decision because that consequence lands on the business, not the tool.

What your data has to look like

Legible artwork with selectable text, and the Food Standards Code edition it's checked against.

Typical readiness

across orgs we see, before the first job

Final artwork as a high-resolution, text-legible file

Usual weak point

The current Food Standards Code rules, encoded and dated

Needs shaping

A structured field map of what each label must carry

Needs shaping

Supplier specs and Certificates of Analysis, linked to the SKU

Needs shaping

A version link between artwork revision and approval

Usual weak point

The real first job

The rule set is usually the weak point — held as someone's memory of the Code, or a checklist last updated before PEAL took full effect. Encoding the current Code, and wiring the label back to supplier specs and CoAs, is usually the real first job — larger and more valuable than the extraction layer on top. Once the rules are clean and current, every label after that is checked right by default.

Right fit if…

You clear label artwork regularly — new-SKU launches, recipe changes, revisions

Dozens of SKUs a year, mostly standard packaged retail food

You can point to a current, PEAL-aware encoding of the Food Standards Code

Your artwork arrives as legible, text-selectable files, not flat scans

Walk away if…

Most of your range is one-off bespoke labels with no repeatable rule set

Your artwork is low-resolution images with text baked in

Allergen and claim truth lives only in supplier docs you can't link to the SKU

You need a tool that signs off compliance so you don't have to

Open questions

The worried-buyer questions, answered straight

It can — which is exactly why nothing goes to print on its say-so. It checks the form of each declaration against the Food Standards Code and shows its working: the field it read, the clause it checked, and a pass, warning or fail flag. A regulatory coordinator confirms each call before approving. Critically, it checks what’s on the artwork, not the truth behind it — it can’t know an allergen was left off upstream — so the person stays on the decision.

It works from legible, text-selectable artwork. If text is baked into a low-resolution image, extraction is unreliable and the tool can’t tell a misread from a real omission. Getting artwork into a clean, readable form — and encoding the current Food Standards Code rules to check it against — is usually the first piece of work, and the piece that pays off across every label after.

No. It removes the line-by-line cross-referencing — the 20 to 40 minutes of tracing each field back to a clause of the Food Standards Code — so the coordinator spends their time on the judgement: is the “gluten free” claim substantiated, is the “may contain” call right for this line, does the allergen statement match the actual recipe. The sign-off is still theirs.

Current to the Food Standards Code in force today. The Plain English Allergen Labelling rules became mandatory after the stock-in-trade period ended in February 2026, so a pre-PEAL checklist will pass labels that are now non-compliant. The honest test: do you know which edition of the Code, and which artwork revision, this report was checked against?

Unreleased artwork, recipes and supplier specifications are commercially sensitive. Any deployment runs against your own systems and data handling, not a shared pool — we scope where the data sits and who can see it as part of the build. The demo here runs entirely on fabricated data; “Wholesome Valley” is not a real product.

It checks against the rules it’s given and flags where a field sits outside them, but it does not certify compliance. Allergen declarations under PEAL, country-of-origin under the Country of Origin Food Labelling Information Standard, and claim substantiation each carry obligations a person confirms for the specific product. The tool gets the report most of the way; the accountable coordinator closes the gap.

What it takes to build

3–4 weeks · 4 phases

Reused from template~70%

Bespoke to this skin~30%

stack · Claude vision · Food Standards Code rule set · review UI

What it would cost

Fixed scope, fixed price, fixed dates.

Bite-sized first piece

One contained change, low risk

Pilot build

Most builds land here

Embedded support

Scale on proof

Considering this for your labels?

The honest place to start is a bite-sized first piece — one contained change, low risk. Tell us where the label backlog hurts; we'll play it back, scope it, and show you what's possible.

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