ImaChek is an advanced automated image integrity detection system designed to identify manipulated and duplicated images in scientific publications.
Our API provides programmatic access to powerful image analysis capabilities.

API Capabilities Overview

This document provides an overview of ImaChek API capabilities. Detailed technical documentation including request/response formats, authentication details, and code examples will be provided upon purchase.

Core Capabilities

The ImaChek API enables you to integrate advanced image integrity analysis into your workflow with the following key features:
FEATURE Automated Image Analysis

Upload and analyze scientific images automatically

  • Support for multiple file formats: Images (JPG, PNG, TIFF), PDF documents, and ZIP archives
  • Batch processing capabilities for analyzing multiple files
  • Automatic detection of image manipulation and duplication
  • Real-time analysis progress tracking
FEATURE Cross-Paper Comparison

Compare images across multiple research papers

  • Identify image reuse across different publications
  • Detect similar images from the same author’s multiple papers
  • Compare up to 10 cases simultaneously
  • Global repository comparison for detecting previously published images
FEATURE Comprehensive Analysis Results

Detailed insights into image integrity

  • Manipulation detection with confidence levels (high, medium, low)
  • Similarity analysis to identify duplicated or reused images
  • Image classification by type (microscopy, blot/gel, chart, macroscopy)
  • Detailed metadata including timestamps and processing status
FEATURE Visual Report Generation

Generate shareable analysis reports

  • Web-based visual reports for easy sharing with stakeholders
  • Comprehensive visualization of analysis results
  • Secure, time-limited access to reports
  • Professional presentation of findings

Typical API Workflow

The ImaChek API follows a simple, intuitive workflow for analyzing scientific images.

Standard Analysis Process

  1. Upload Files: Submit images, PDFs, or ZIP files for analysis
  2. Monitor Progress: Track analysis status in real-time
  3. Retrieve Results: Access detailed analysis findings
  4. Generate Reports: Create visual reports for stakeholders
  5. Cross-Compare (Optional): Compare multiple cases for advanced investigation

Step 1: Upload Files

Upload your scientific images, PDF documents, or ZIP archives to initiate the analysis process. The system supports single or multiple file uploads and automatically begins processing upon successful upload.

Step 2: Monitor Analysis Progress

Track the progress of your analysis in real-time. The API provides status updates and progress percentage, allowing you to monitor when the analysis is complete.

Step 3: Retrieve Detailed Results

Once analysis is complete, access comprehensive results including:

  • Number of manipulated images detected
  • Similarity matches with confidence levels
  • Image classification by scientific type
  • Detailed metadata and timestamps

Step 4: Generate Visual Reports

Create professional, web-based reports that visualize your analysis results. These reports are perfect for sharing with colleagues, reviewers, or stakeholders.

Step 5: Cross-Case Analysis (Optional)

For advanced investigations, compare multiple cases to identify image reuse across different papers or by the same author. This is particularly useful for:

  • Investigating suspicious literature from the same author
  • Detecting shared images across multiple publications
  • Comprehensive integrity checks on related research

Complete Technical Documentation

The complete API technical documentation, including Request/Response formats, parameter descriptions, code examples, and other detailed information, can be viewed after logging into the system backend admin platform.