Restaurant Photo Enhancer

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:

{
  "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 to collect more results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the Restaurant Photo Enhancer.
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 (run-sync-get-dataset-items) or the ApifyClient 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:

$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 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.