Get Image Metadata - Properties Reader API
PDF4me Get Image Metadata is a powerful enterprise-grade solution that extracts comprehensive metadata from images through advanced API integration. This comprehensive image analysis service efficiently processes image files, providing detailed information about image properties, dimensions, format details, technical specifications, and advanced metadata extraction capabilities for enhanced image analysis and content management. The API processes image metadata extraction by receiving source images through REST API calls, utilizing advanced analysis technology and intelligent metadata parsing algorithms for accurate image information retrieval and professional image processing. With comprehensive support for multiple image formats, detailed metadata extraction, technical specifications, and professional image analysis, this solution is ideal for image analysis, content management, automated metadata extraction, and enterprise image workflows that require reliable image information retrieval with guaranteed accuracy and consistent output quality. Get Image Metadata documents easily with API for advanced image analysis and metadata extraction.
Authenticating Your API Request
To access the PDF4me REST API, every request must include proper authentication credentials. Authentication ensures secure communication and validates your identity as an authorized user of the REST API.
Key Features
- Comprehensive Metadata: Extract detailed information about image properties and technical specifications
- Format Support: Support for various image formats and file types
- Dimension Analysis: Retrieve precise width, height, and resolution information
- Technical Details: Access color depth, compression, and format-specific properties
- Quality Information: Analyze image quality, compression settings, and technical parameters
- Professional Results: High-quality metadata extraction with accurate image analysis
- Seamless API Integration: RESTful API designed for automated image analysis workflows and enterprise system integration
REST API Endpoint
The PDF4me REST API uses standard HTTP methods to interact with resources. All image metadata extraction operations are performed through a single endpoint:
- Method: POST
- Endpoint:
/api/v2/GetImageMetadata
Supported Image Metadata Features
The API provides comprehensive support for various image metadata extraction and analysis capabilities:
Metadata Extraction
- Image Properties: Extract basic image information including dimensions, format, and file size
- Technical Specifications: Retrieve color depth, compression settings, and format-specific details
- Quality Analysis: Analyze image quality, resolution, and technical parameters
- Professional Results: High-quality metadata extraction with accurate image analysis
- Advanced Processing: Support for complex image structures and metadata requirements
Format Support
- Multiple Formats: Support for JPG, PNG, BMP, GIF, TIFF, and other popular image formats
- Format-Specific Data: Extract format-specific metadata and technical information
- Compatibility Analysis: Analyze image compatibility and format requirements
- Professional Layout: High-quality metadata extraction with accurate format analysis
- Advanced Processing: Support for various image formats and metadata structures
Image Analysis
- Dimension Analysis: Precise width, height, and resolution information extraction
- Color Information: Extract color depth, color space, and color profile details
- Compression Details: Analyze compression settings and quality parameters
- Professional Enhancement: High-quality image analysis with accurate metadata extraction
- Flexible Options: Customizable analysis parameters for specific requirements
REST API Parameters
Complete list of parameters for the Get Image Metadata REST API. Parameters are organized by category for better understanding and implementation.
Important: Parameters marked with an asterisk (*) are required and must be provided for the API to function correctly.
Required Parameters
| Parameter | Type | Description | Example |
|---|---|---|---|
| Nama File PDF* | String | The source image filename with proper file extension for metadata extraction operations. This parameter identifies the input image for metadata analysis, property extraction, and information retrieval workflows. Required for image identification and processing pipeline management in metadata extraction operations. | image.jpg |
| Konten PDF* | Base64 | The complete content of the source image encoded in Base64 format for metadata extraction processing. This parameter contains the entire image data required for metadata analysis, property extraction, and information retrieval workflows. Essential for secure image handling and API-based metadata extraction operations. | JVBERi... |
| Jenis Gambar* | String | Specify the image format type for accurate metadata extraction and analysis. This parameter helps the API identify the correct image format and apply appropriate metadata extraction algorithms. Use standard format names like "jpg", "png", "bmp", "gif", "tiff" for optimal metadata extraction results. | jpg |
Output
The PDF4me Get Image Metadata REST API returns a response that can be viewed in multiple formats. Choose the view that best fits your needs:
- JSON
- Table
- Schema
- Binary
JSON Response Format
The raw JSON response from the API:
{
"File Content": "Output file content from the PDF4me Connect"
}
Table View
Response data in a structured table format:
| Parameter | Value |
|---|---|
| File Content | Output file content from the PDF4me Connect |
Schema View
The data structure and types of the response:
1 item
File Content: Binary Output file content from the PDF4me Connect
Type Indicators:
Binary= Binary data
Binary Data View
The actual metadata file data:
data
─────────────────────────────
File Content: Output file content from the PDF4me Connect
Binary Data Access:
- Metadata Content: Ready for download or further processing
- Image Information: Complete metadata extracted from the image
Request Example
Header
Content-Type: application/json
Authorization: YOUR_API_KEY
Note: Get your API key from the PDF4me Dashboard
Payload
{
"Nama File PDF": "image.jpg",
"Konten PDF": "Please put image base64 content",
"Jenis Gambar": "jpg"
}
Code Samples
The PDF4me Get Image Metadata REST API provides code samples in multiple programming languages. Choose the language that best fits your development environment:
- C#
- Java
- JavaScript
- Python
- Salesforce
- n8n
- Google Script
- AWS Lambda
Google Script Sample
Google Apps Script implementation for Google Workspace integration:
Image Metadata Features
Metadata Extraction
- Image Properties: Extract basic image information including dimensions, format, and file size
- Technical Specifications: Retrieve color depth, compression settings, and format-specific details
- Quality Analysis: Analyze image quality, resolution, and technical parameters
- Professional Results: High-quality metadata extraction with accurate image analysis
- Advanced Processing: Support for complex image structures and metadata requirements
Format Support
- Multiple Formats: Support for JPG, PNG, BMP, GIF, TIFF, and other popular image formats
- Format-Specific Data: Extract format-specific metadata and technical information
- Compatibility Analysis: Analyze image compatibility and format requirements
- Professional Layout: High-quality metadata extraction with accurate format analysis
- Advanced Processing: Support for various image formats and metadata structures
Image Analysis
- Dimension Analysis: Precise width, height, and resolution information extraction
- Color Information: Extract color depth, color space, and color profile details
- Compression Details: Analyze compression settings and quality parameters
- Professional Enhancement: High-quality image analysis with accurate metadata extraction
- Flexible Options: Customizable analysis parameters for specific requirements
Industry Use Cases & Applications
- Use Cases
Use Cases
- Image Analysis: Extract detailed metadata for image analysis and processing
- Content Management: Retrieve image properties for CMS and digital asset management
- Quality Control: Analyze image quality and technical specifications
- Format Validation: Verify image format and compatibility requirements
- Asset Management: Extract metadata for digital asset organization and cataloging
- Web Development: Analyze image properties for web optimization and responsive design
- Photography: Extract technical details for photo management and organization
- Business Process Automation: Automate image metadata extraction workflows for enterprise operations