# AI Menu Parser — Flat Price per Menu, No API Key (`nomad-agent/ai-menu-parser-flat`) Actor

One flat price per menu, charged only on success — no API key, no per-item metering. Menu photos in, structured dishes out: translated names, prices, atomic ingredients, EU-14 allergens, dietary type, nutrition estimates. 15 languages.

- **URL**: https://apify.com/nomad-agent/ai-menu-parser-flat.md
- **Developed by:** [Nomad Dev](https://apify.com/nomad-agent) (community)
- **Categories:** AI, Automation
- **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$990.00 / 1,000 menu parseds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## AI Menu Parser — Flat Price per Menu

**One flat charge per menu. Charged only when parsing succeeds. No API key.**

Upload up to 10 photos of a menu (or send URLs/base64 through JSON), get the
whole menu back as **structured JSON** — one record per dish, however many
dishes it has. A 12-dish café card and a 60-dish restaurant board cost exactly
the same.

Each dish record includes:

- `name` (translated to your language) + `originalName` (as printed)
- `category`, `price` (with currency, as shown)
- `ingredients` — atomic base ingredients, each with an English database
  name, translated display name, and **EU-14 allergens with confidence**
- `dietaryType` — Vegan / Vegetarian / Pescetarian / Other, with explanation
- `nutritionInfo` — estimated serving size, calories, protein, fat, carbs
- `story` — origin story / cultural significance
- `isAlcoholic` for beverages

15 output languages. The prompt is the production pipeline of a
dietary-restrictions travel app — battle-tested on real menus worldwide.

### Why flat pricing

You know the cost before you run: one menu, one price. No per-dish
metering, no bill surprises on dense menus. If the parse fails or the
photos are unreadable, you are not charged — a non-billed diagnostic row
explains what went wrong instead.

The current live price is $0.99 per successfully parsed custom menu. The exact
untouched prefilled sample is a clearly marked DEMO preview, makes no Gemini
call and is completely free. Empty and failed parses return
`diagnostic: true` with a human-readable `message` and are not charged.

Prefer usage-based pricing or your own Gemini key? The same parser is also
listed as [ai-menu-parser](https://apify.com/nomad-agent/ai-menu-parser)
(bring your own key, per dish) and
[ai-menu-parser-managed](https://apify.com/nomad-agent/ai-menu-parser-managed)
(no key, per dish).

### Input example

```json
{
  "imageUrls": ["https://raw.githubusercontent.com/Exdenta/traveleat-support/main/docs/assets/menu-demo-small.jpg"],
  "language": "en"
}
```

### Notes

- The Console accepts local JPEG, PNG, or WebP uploads directly. API callers
  may use HTTP(S) URLs, base64 data URIs, or raw base64 in `imageUrls`.
- Each decoded image is limited to 10 MiB. Inline payloads and signed URL
  credentials are replaced with safe references in output records and logs.
- Up to 10 images per run, parsed together as **one** menu. One run = one
  menu — for several restaurants, start one run each.
- Unreadable items are skipped rather than guessed; empty results produce a
  non-billed diagnostic row explaining why.

### Safety

Allergen, dietary, ingredient and nutrition fields are AI-generated estimates.
They can be wrong and do not account reliably for substitutions or kitchen
cross-contact. Verify critical information with the restaurant; do not rely on
this output as medical advice or as the sole safeguard for a severe allergy.

### Support & links

- Questions, bug reports and FAQ:
  [github.com/Exdenta/traveleat-support](https://github.com/Exdenta/traveleat-support)
- This actor runs the same menu pipeline as [Travel Eat](https://traveleat.app) —
  scan a menu, get allergens, ingredients and dietary filters in 36 languages.

# Actor input Schema

## `imageUrls` (type: `array`):

Upload menu photos or provide direct image URLs (JPEG/PNG/WebP, 10 MiB per image). API/JSON callers may also pass base64 data URIs or raw base64 strings in imageUrls. All images are parsed as one menu — up to 10 per run. The untouched owned sample returns a free, clearly marked DEMO preview; replace it with your own images for a live $0.99 parse.

## `language` (type: `string`):

Language for dish names, descriptions, stories and allergen summaries (ingredient database names stay English).

## Actor input object example

```json
{
  "imageUrls": [
    "https://raw.githubusercontent.com/Exdenta/traveleat-support/main/docs/assets/menu-demo-small.jpg"
  ],
  "language": "en"
}
```

# Actor output Schema

## `items` (type: `string`):

The run's dataset items (see the dataset schema for the field-by-field structure).

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "imageUrls": [
        "https://raw.githubusercontent.com/Exdenta/traveleat-support/main/docs/assets/menu-demo-small.jpg"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("nomad-agent/ai-menu-parser-flat").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "imageUrls": ["https://raw.githubusercontent.com/Exdenta/traveleat-support/main/docs/assets/menu-demo-small.jpg"] }

# Run the Actor and wait for it to finish
run = client.actor("nomad-agent/ai-menu-parser-flat").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "imageUrls": [
    "https://raw.githubusercontent.com/Exdenta/traveleat-support/main/docs/assets/menu-demo-small.jpg"
  ]
}' |
apify call nomad-agent/ai-menu-parser-flat --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nomad-agent/ai-menu-parser-flat"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/oAbvV2D7hIaKXp9gu/builds/Iimq0n8JsI7rfTXLd/openapi.json