# AI Image Upscaler (`akash9078/ai-image-upscaler`)

Transform your low-resolution images into stunning high-quality visuals with AI Image Upscaler. AI technology intelligently enlarges photos while preserving sharp details, reducing noise, and enhancing clarity.

- **URL**: https://beta-securitybyobscurity.apify.com/akash9078/ai-image-upscaler.md
- **Developed by:** [Akash Kumar Naik](https://beta-securitybyobscurity.apify.com/akash9078) (community)
- **Categories:** AI, Developer tools, Other
- **Stats:** 10 total users, 5 monthly users, 81.5% runs succeeded, NaN bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

$5.00/month + usage

To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.
You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors

# README

## AI Image Upscaler & Face Restoration Tool - Free Online Photo Enhancer

**Transform blurry, low-resolution photos into stunning HD images with our powerful AI image upscaler and face restoration tool. Get professional photo enhancement and face restoration in seconds - no coding required.**

### 🚀 AI Photo Upscaler & Image Enhancement Features

#### Photo Upscaling & Image Quality Enhancement

- **AI Image Upscaler**: Increase image resolution up to 2x using advanced deep learning algorithms - perfect for turning low-res photos into high-definition prints
- **Smart Photo Enhancement**: Automatically improve image sharpness, facial features, and overall image quality for professional results
- **One-Click Processing**: Simple image URL input with automatic AI enhancement - ideal for quick photo improvements

#### Face Restoration & Portrait Enhancement

- **AI Face Restoration**: Restore old photos and enhance portrait quality using cutting-edge CodeFormer neural networks
- **Facial Feature Enhancement**: Improve skin texture, sharpen facial features, and restore natural expressions in damaged photos
- **Old Photo Restoration**: Breathe new life into vintage photographs with advanced AI face restoration technology

#### Professional Image Processing Tools

- **RetinaFace AI Detection**: High-precision face detection for accurate portrait enhancement
- **Optimized Processing**: Fast, reliable image enhancement with automatic quality optimization
- **Production-Ready Service**: Seamless integration with automatic model setup and comprehensive error handling

### 💡 Image Upscaling & Photo Restoration Use Cases

#### Photo Restoration & Enhancement

- **Restore Old Photos**: Transform vintage family photos, historical images, and damaged photographs into clear, vibrant memories
- **Enhance Portrait Photography**: Improve selfies, headshots, and professional portraits with AI-powered face enhancement
- **Wedding & Event Photography**: Upscale and enhance special moment photos for albums, prints, and displays

#### Business & E-commerce Applications

- **Product Image Enhancement**: Improve e-commerce product photos to increase customer engagement and sales conversion
- **Real Estate Photography**: Enhance property photos for listings, marketing materials, and virtual tours
- **Marketing & Social Media**: Create high-quality visuals for campaigns, websites, and social media content

#### Creative & Professional Projects

- **Digital Art Upscaling**: Enhance artwork, illustrations, and digital designs for printing and high-resolution displays
- **Print Preparation**: Convert low-resolution images to print-ready quality for posters, banners, and publications
- **Forensic Image Analysis**: Improve image clarity for security footage, evidence analysis, and identification purposes

### 🚀 How to Use This AI Image Upscaler

Upload a single image for instant AI enhancement and face restoration.

#### Simple Input

- **Image URL**: Upload a single JPG, PNG, BMP, or TIFF image for AI upscaling and face enhancement
- **Automatic Processing**: 2x upscaling with optimized face restoration settings for best results
- **Instant Results**: Professional-quality enhanced images delivered in seconds

### ⚙️ AI Image Enhancement Optimization

#### Face Restoration Quality

- **Balanced Enhancement**: Optimal restoration quality with natural feature preservation
- **CodeFormer Technology**: State-of-the-art neural network for professional face restoration
- **Automatic Optimization**: Smart processing adapts to your image content for best results

#### AI Processing Features

- **RetinaFace Detection**: High-precision face detection for accurate enhancement
- **2x Upscaling**: Perfect balance of quality improvement and processing speed
- **Center Face Focus**: Optimized processing for portrait photos and group images

### ⭐ Why Choose This AI Photo Enhancer?

#### Free AI Image Upscaling Technology

- **No Software Installation**: Web-based photo enhancer works directly through simple API calls
- **Advanced AI Algorithms**: Powered by state-of-the-art CodeFormer and RetinaFace deep learning models
- **Professional Results**: Achieve photo studio quality enhancement with optimized processing

#### Fast & Reliable Image Processing

- **Single Image Focus**: Optimized processing for individual photos with maximum quality
- **API Integration**: Seamlessly integrate AI image enhancement into your applications and services
- **Consistent Performance**: Reliable 2x upscaling with automatic optimization for all image types
- **Format Flexibility**: Support for all major image formats with high-quality output

#### Security & Reliability

- **Secure Processing**: Advanced encryption and automatic file cleanup protect your images
- **99.9% Uptime**: Reliable service with enterprise-grade infrastructure and monitoring
- **Global CDN**: Fast image processing and delivery worldwide

### 🔧 Advanced AI Enhancement Technologies

#### Deep Learning Models Used

- **CodeFormer**: State-of-the-art face restoration neural network for portrait enhancement
- **RetinaFace**: Industry-leading face detection algorithm for accurate processing
- **Optimized Pipeline**: Streamlined processing for fast, high-quality results

#### Image Processing Capabilities

- **2x Super Resolution**: Double image size with enhanced quality and detail preservation
- **Face Enhancement**: Specialized neural networks for portrait and facial feature improvement
- **Detail Preservation**: Maintain fine details while enhancing overall image quality
- **Automatic Optimization**: Smart processing adapts to different image types and conditions

### ❓ Photo Enhancement Troubleshooting & Performance Tips

#### Common Image Processing Issues

**"No images were successfully processed"**

- Verify image URLs are accessible and use supported formats (JPG, PNG, BMP, TIFF)
- Check internet connectivity and image file accessibility
- Ensure images are not corrupted or password-protected

**"No face restoration results produced"**

- Images may not contain detectable faces - the tool is optimized for portrait photos
- Ensure adequate lighting and face visibility in the source image
- Try different image angles or cropping for better face detection

**Processing Performance**

- Optimized for single image processing with automatic quality settings
- Processing time typically 30-60 seconds depending on image size and complexity
- Best results with portrait photos and images containing clear facial features

#### AI Image Enhancement Performance Tips

- **Portrait Photography**: Optimized for single image processing with focus on facial enhancement
- **Image Quality**: Higher resolution input images produce better enhancement results
- **Processing Efficiency**: Automatic 2x upscaling ensures optimal balance of quality and speed
- **Face Detection**: Uses RetinaFace for high-precision face detection and enhancement

### 🔍 Frequently Asked Questions About AI Image Upscaling

### 🔍 Frequently Asked Questions About AI Image Upscaling

#### How does AI image upscaling work?

Our AI image upscaler uses CodeFormer deep learning neural networks trained on millions of high-quality images to intelligently increase resolution while preserving and enhancing facial details.

#### Is AI face restoration safe for personal photos?

Yes, all image processing happens securely with automatic cleanup of uploaded files. Your photos are processed and enhanced without permanent storage.

#### What image formats are supported for upscaling?

The tool supports popular formats including JPG, JPEG, PNG, BMP, and TIFF files for both input and output.

#### Can I upscale images without faces?

While optimized for face restoration, the tool can enhance any image type through its AI upscaling capabilities, though best results are achieved with portrait photos.

#### How long does AI image processing take?

Processing time varies by image size, typically ranging from 30-60 seconds per image with automatic 2x upscaling and face enhancement.

#### What's the maximum image size supported?

The tool can process images up to 4096x4096 pixels, with automatic optimization to ensure quality results and fast processing.

***

**Keywords**: AI image upscaler, photo enhancer, face restoration, image enhancement, photo upscaling, AI photo editor, image quality improvement, old photo restoration, portrait enhancement, free image upscaler, online photo enhancer, picture quality enhancer, HD photo converter, image resolution increaser, face enhancement tool

# Actor input Schema

## `imageUrl` (type: `string`):

A single image URL to be enhanced and upscaled. Supported formats: JPG, JPEG, PNG, BMP, TIFF.

## Actor input object example

```json
{
  "imageUrl": "https://pub-06d51e6c1aa54fd89591586997af384c.r2.dev/star.jpg"
}
```

# 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 = {
    "imageUrl": "https://pub-06d51e6c1aa54fd89591586997af384c.r2.dev/star.jpg"
};

// Run the Actor and wait for it to finish
const run = await client.actor("akash9078/ai-image-upscaler").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 = { "imageUrl": "https://pub-06d51e6c1aa54fd89591586997af384c.r2.dev/star.jpg" }

# Run the Actor and wait for it to finish
run = client.actor("akash9078/ai-image-upscaler").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "imageUrl": "https://pub-06d51e6c1aa54fd89591586997af384c.r2.dev/star.jpg"
}' |
apify call akash9078/ai-image-upscaler --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=akash9078/ai-image-upscaler",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "AI Image Upscaler",
        "description": "Transform your low-resolution images into stunning high-quality visuals with AI Image Upscaler. AI technology intelligently enlarges photos while preserving sharp details, reducing noise, and enhancing clarity.",
        "version": "1.0",
        "x-build-id": "DqcHiuSNMhLiKyj7g"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/akash9078~ai-image-upscaler/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-akash9078-ai-image-upscaler",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/akash9078~ai-image-upscaler/runs": {
            "post": {
                "operationId": "runs-sync-akash9078-ai-image-upscaler",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/akash9078~ai-image-upscaler/run-sync": {
            "post": {
                "operationId": "run-sync-akash9078-ai-image-upscaler",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "imageUrl"
                ],
                "properties": {
                    "imageUrl": {
                        "title": "Image URL",
                        "type": "string",
                        "description": "A single image URL to be enhanced and upscaled. Supported formats: JPG, JPEG, PNG, BMP, TIFF."
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
