# Nutrition Facts Label Reader: US & EU Panels to Data

**Use case:** 

Read nutrition facts panels from photos: every nutrient per serving and per 100 g, % Daily Values, serving size in grams, and Open Food Facts fields, with the label arithmetic re-checked by code (energy from macros, kJ vs kcal, FDA rounding). US FDA and EU tables, HEIC phone photos too. Pay per label.

## Input

```json
{
  "fileUrls": [
    "https://api.apify.com/v2/key-value-stores/T5HtoeQYut1ufwkKC/records/menu-ocr-nutrition-us.png",
    "https://api.apify.com/v2/key-value-stores/T5HtoeQYut1ufwkKC/records/menu-ocr-nutrition-eu.png"
  ],
  "documentType": "nutrition",
  "maxPagesPerFile": 10
}
```

## Output

```json
{
  "url": {
    "label": "File",
    "format": "string"
  },
  "documentType": {
    "label": "Type",
    "format": "string"
  },
  "productName": {
    "label": "Product",
    "format": "string"
  },
  "servingSizeG": {
    "label": "Serving (g)",
    "format": "number"
  },
  "off": {
    "label": "Nutrients (OFF)",
    "format": "object"
  },
  "allergens": {
    "label": "Allergens",
    "format": "array"
  },
  "barcode": {
    "label": "Barcode",
    "format": "object"
  },
  "bestBefore": {
    "label": "Best before",
    "format": "string"
  },
  "checks": {
    "label": "Checks",
    "format": "object"
  },
  "error": {
    "label": "Error",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Menu & Nutrition Label OCR: Prices, Allergens, Nutrients Actor is ready to run with the inputs already set for "Nutrition Facts Label Reader: US & EU Panels to Data". [Sign up or log in](https://console.apify.com/create-task-from-example/LJa4ZQss3gXbtu01X) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Nutrition Facts Label Reader: US & EU Panels to Data" task

The Menu & Nutrition Label OCR: Prices, Allergens, Nutrients Actor will start running based on the input automatically. You can also change all the input fields, like photo, scan or pdf links, what the files show, and more, to match your specific use case.

### 3. Receive the "Nutrition Facts Label Reader: US & EU Panels to Data" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as file, type, product, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Nutrition Facts Label Reader: US & EU Panels to Data" task via API](https://apify.com/bossless/menu-label-ocr.md).

## About this Actor

This example demonstrates how to use [Menu & Nutrition Label OCR: Prices, Allergens, Nutrients](https://apify.com/bossless/menu-label-ocr.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/bossless/menu-label-ocr.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/bossless/menu-label-ocr.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).
