# Restaurant Photo Enhancer (`parseforge/restaurant-photo-enhancer`) Actor

Enhance restaurant photos with AI: improve lighting, color, and detail. Upload URLs, choose enhancement level, and export professional images.

- **URL**: https://apify.com/parseforge/restaurant-photo-enhancer.md
- **Developed by:** [ParseForge](https://apify.com/parseforge) (community)
- **Categories:** AI, Automation, E-commerce
- **Features:** Limited permissions
- **Stats:** 21 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $50.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

[![ParseForge](https://raw.githubusercontent.com/ParseForge/apify-assets/main/banner-v4.webp)](https://apify.com/parseforge?fpr=vmoqkp)

### Restaurant Photo Enhancer

**Enhance restaurant photos to professional quality in one run.** Upload raw food images and get back magazine-ready shots with improved lighting, color, and detail. No design skills or editing software needed. Export to CSV, JSON, or Excel.

Restaurant photos often look dull or unappetizing due to poor lighting, camera quality, or rushed shots. This tool uses AI to enhance food and interior images, adjusting brightness, contrast, and sharpness while preserving natural details. You can also apply a brand style from a reference image or give custom instructions for the look you want.

| Who uses it | What they scrape Restaurant Photo Enhancer for |
|---|---|
| Restaurant owners | Polish menu photos for their website or delivery apps without hiring a photographer |
| Food bloggers | Make homemade food shots look professional for social media posts |
| Marketing agencies | Batch-enhance client restaurant photos for campaigns and listings |
| Delivery platform managers | Improve dish images on Uber Eats, DoorDash, or similar menus to boost click-through rates |

### What it does

This Actor takes restaurant photo URLs and returns enhanced versions with improved visual quality, optionally styled after a reference image or custom prompt.

- 🎨 **Enhancement levels:** Choose subtle, moderate, or professional enhancement to control how much the image is transformed.
- 🖼️ **Brand style transfer:** Upload a reference image to apply its color palette and lighting to all photos while keeping dish authenticity.
- ✏️ **Custom instructions:** Add text prompts like 'make colors more vibrant' or 'focus on the main dish' to fine-tune results.
- 🎯 **Preserve brand colors:** When using a reference, toggle this option to maintain the brand's original color scheme.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

### What you can do with Restaurant Photo Enhancer data

**📸 Polish menu photos for delivery apps.**

A restaurant owner uploads raw dish photos and uses the professional enhancement level to make them look appetizing on Uber Eats or DoorDash.

**🎯 Apply brand style to social media posts.**

A food blogger uploads a reference image of their brand's aesthetic and enhances all new photos to match, keeping a consistent feed.

**🔄 Batch-enhance for a marketing campaign.**

An agency uploads 50 client restaurant photos, sets moderate enhancement, and exports the results for a print or digital ad.

**📋 Improve images for a menu redesign.**

A restaurant manager uses the subtle level to fix underexposed photos before adding them to a new printed menu.

### Why choose this scraper

|  | What you get |
|---|---|
| **Enhanced images** | Get back high-quality photos with improved lighting, color, and sharpness |
| **Brand consistency** | Apply a reference image's style to all photos for a uniform look |
| **Custom control** | Use text prompts to guide the enhancement exactly how you want |
| **Batch processing** | Upload multiple URLs and enhance them all in one run |

### How it compares

This Actor focuses on photo enhancement rather than menu scraping, making it a complementary tool for restaurant data workflows.

| Feature | ParseForge | Uber Eats Menu Scraper | Restaurant Menu Scraper |
|---|---|---|---|
| Enhances photo quality | Yes, with three levels and custom prompts | Not listed | Not listed |
| Applies brand style from reference | Yes, with optional color preservation | Not listed | Not listed |
| Batch processes multiple images | Yes, via URL array input | Not listed | Not listed |
| Extracts menu text or prices | Not listed | Yes | Yes |
| Works with Uber Eats URLs | Not listed | Yes | Not listed |
| Uses OCR for image text | Not listed | Not listed | Yes |

### Configure the run

Configure the run by providing restaurant photo URLs, selecting an enhancement level, and optionally adding a reference image or custom prompt. The enhancement is applied to each image as it's processed. The Input tab lists every parameter.

A first run with the defaults:

```json
{
  "imageUrls": [
    "https://api.apify.com/v2/key-value-stores/S8l2sknfAAra9YPZ7/records/food.png"
  ],
  "enhancementLevel": "professional",
  "referenceImage": "https://api.apify.com/v2/key-value-stores/pODrF02tbBwBdJMhY/records/Easyspaghettiwithtomatosauce_11715_DDMFS_4x3_2424-8d7bf30b2622465f9dd78a2c6277eeb8.jpg",
  "customPrompt": "mantain original details",
  "preserveBrandColors": false
}
```

### Pricing

Pay-per-result: **$0.08 per result** collected. You pay only for the results written to your dataset.

| Results collected | Approximate cost |
|---|---|
| 100 results | $8.00 |
| 1,000 results | $80.00 |
| 10,000 results | $800.00 |

New Apify accounts start with $5 in free credit.

### Free users

Free-plan runs return up to 10 results as a preview. [Upgrade your Apify plan](https://console.apify.com/sign-up?fpr=vmoqkp) to collect more results per run.

### Run it

1. [Create a free Apify account with $5 in credit](https://console.apify.com/sign-up?fpr=vmoqkp).
2. Open the [Restaurant Photo Enhancer](https://apify.com/parseforge/restaurant-photo-enhancer?fpr=vmoqkp).
3. Set your inputs and any filters, then click **Start**.
4. Export the results as CSV, Excel, JSON, or XML from the **Dataset** tab.

Run it programmatically through the [Apify API](https://docs.apify.com/api/v2) (`run-sync-get-dataset-items`) or the [ApifyClient](https://docs.apify.com/api/client/js) for JavaScript and Python.

### Use with AI agents (MCP)

Give an AI agent live access to Restaurant Photo Enhancer through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

```bash
claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/restaurant-photo-enhancer"
```

Then prompt it in plain language to run the scraper and read back the results.

### Troubleshooting

**The enhanced image looks too artificial.**

Try using the 'subtle' enhancement level instead of 'professional'. You can also add a custom prompt like 'keep natural textures'.

**The reference image style isn't applying.**

Make sure the reference image URL is accessible and in a supported format. Also check that 'preserve brand colors' is set to false if you want full style transfer.

**I'm getting no results or errors.**

Verify that your image URLs are publicly accessible and not behind a login. Also ensure the URLs point directly to image files, not web pages.

**The output images are too large or small.**

The Actor maintains the original image dimensions. If you need resizing, consider preprocessing the images before uploading.

**Custom prompt seems ignored.**

Make sure your prompt is specific and relevant to image enhancement. Vague prompts like 'make it better' may not produce noticeable changes.

### FAQ

| Question | Answer |
|---|---|
| What image formats are supported? | The Actor accepts URLs pointing to common image formats like JPEG, PNG, and WebP. The enhanced output is returned as JPEG images. |
| Can I enhance multiple photos at once? | Yes, you can provide an array of image URLs in the input. Each photo is processed individually and returned in the results. |
| Does the reference image change the food appearance? | No, the reference image only influences lighting, color tones, and overall aesthetic. The dish details and authenticity are preserved. |
| What does the 'preserve brand colors' option do? | When enabled, the Actor tries to keep the brand's original color palette from the reference image. When disabled, it applies the reference's style more freely. |
| How long does it take to enhance one photo? | Processing time depends on image size and enhancement level, but typically a single photo takes a few seconds. Larger batches may take longer. |
| Can I use this for non-food restaurant photos? | Yes, it works on interior shots, drink images, or any restaurant-related photo. The enhancement improves general visual quality. |
| Do I need an API key or account? | No, you only need an Apify account to run the Actor. No external API keys or subscriptions are required. |
| What if I don't like the enhanced result? | You can adjust the enhancement level or custom prompt and rerun. The original images are never modified. |

### Related actors

Browse the full [ParseForge collection](https://apify.com/parseforge?fpr=vmoqkp) for more scrapers.

🆘 **Need help?** Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ **Disclaimer.** This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by ParseForge. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.

# Actor input Schema

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

URLs of restaurant photos to enhance.

## `enhancementLevel` (type: `string`):

Level of enhancement to apply: 'subtle' for minimal improvements, 'moderate' for balanced enhancement, 'professional' for magazine-quality transformation. Default: moderate

## `referenceImage` (type: `string`):

Optional reference image to extract brand style (colors, lighting, aesthetic). The style will be applied to all enhanced images while maintaining dish authenticity. Upload one reference image that represents your brand's visual style.

## `customPrompt` (type: `string`):

Optional custom instructions to guide the enhancement process. Examples: 'Make colors more vibrant', 'Add warmer lighting', 'Focus on the main dish'. These instructions will be combined with the enhancement level settings.

## `preserveBrandColors` (type: `boolean`):

When a reference image is provided, attempt to preserve the brand's color palette and aesthetic in the enhanced images. Default: true

## Actor input object example

```json
{
  "imageUrls": [
    "https://api.apify.com/v2/key-value-stores/S8l2sknfAAra9YPZ7/records/food.png"
  ],
  "enhancementLevel": "professional",
  "referenceImage": "https://api.apify.com/v2/key-value-stores/pODrF02tbBwBdJMhY/records/Easyspaghettiwithtomatosauce_11715_DDMFS_4x3_2424-8d7bf30b2622465f9dd78a2c6277eeb8.jpg",
  "customPrompt": "mantain original details",
  "preserveBrandColors": false
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

# 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://api.apify.com/v2/key-value-stores/S8l2sknfAAra9YPZ7/records/food.png"
    ],
    "enhancementLevel": "professional",
    "referenceImage": "https://api.apify.com/v2/key-value-stores/pODrF02tbBwBdJMhY/records/Easyspaghettiwithtomatosauce_11715_DDMFS_4x3_2424-8d7bf30b2622465f9dd78a2c6277eeb8.jpg",
    "customPrompt": "mantain original details",
    "preserveBrandColors": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("parseforge/restaurant-photo-enhancer").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://api.apify.com/v2/key-value-stores/S8l2sknfAAra9YPZ7/records/food.png"],
    "enhancementLevel": "professional",
    "referenceImage": "https://api.apify.com/v2/key-value-stores/pODrF02tbBwBdJMhY/records/Easyspaghettiwithtomatosauce_11715_DDMFS_4x3_2424-8d7bf30b2622465f9dd78a2c6277eeb8.jpg",
    "customPrompt": "mantain original details",
    "preserveBrandColors": False,
}

# Run the Actor and wait for it to finish
run = client.actor("parseforge/restaurant-photo-enhancer").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://api.apify.com/v2/key-value-stores/S8l2sknfAAra9YPZ7/records/food.png"
  ],
  "enhancementLevel": "professional",
  "referenceImage": "https://api.apify.com/v2/key-value-stores/pODrF02tbBwBdJMhY/records/Easyspaghettiwithtomatosauce_11715_DDMFS_4x3_2424-8d7bf30b2622465f9dd78a2c6277eeb8.jpg",
  "customPrompt": "mantain original details",
  "preserveBrandColors": false
}' |
apify call parseforge/restaurant-photo-enhancer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,parseforge/restaurant-photo-enhancer"
        }
    }
}
```

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/9KOeLGAFdQmTzVosZ/builds/fUaBoRyWmE4t3bHbY/openapi.json