CopyLeaks

I. Core Positioning: The “Enterprise-Grade Benchmark” in Multimodal Originality Protection

(1) Full-Coverage Multimodal Detection, Breaking Format Barriers

• Full-Format Compatibility: Supports detection of text (TXT/Word/PDF/PPT), images (JPG/PNG/AI-generated images), and code (20+ programming languages including Python/Java/C++). Image detection identifies embedded text plagiarism and AI-generated traces, while code detection locates open-source library replication and logical plagiarism.
• AI-Generated Content Accuracy: Achieves 99% detection accuracy for content generated by 15+ mainstream AI tools (e.g., ChatGPT 3.5/4o, Claude 3, Midjourney, Stable Diffusion). Even for “AI + human-edited” text (with ≤40% modification rate), the recognition rate remains above 91% — far exceeding industry averages.
• Multilingual Optimization: Supports 30+ languages including Chinese, English, and Spanish. Specialized optimizations for Chinese word segmentation logic and minority language grammar ensure it meets the multilingual detection needs of cross-border enterprises.

(2) Global Database Tracing, Visualizing Infringement Evidence

• 10 Billion+ Data Source Coverage: Integrates with global academic databases (CNKI, Web of Science, Google Scholar), e-commerce platforms (Amazon, Taobao product copy), social media (WeChat Official Accounts, Twitter), and open-source code repositories (GitHub, GitLab) — leaving no plagiarized content undetected.
• Sentence-Level Tracing Precision: Locates the original source of individual sentences in text, marking similarity (0%-100%), publication date, and URL links. One-click access to original content is supported; for example, an author used this feature to identify 92% similarity between their work and infringing content on a self-media platform.
• Compliant Evidence Reports: Generates timestamped PDF detection reports with plagiarized segment comparisons, source screenshots, and similarity distribution charts — legally recognized and trusted. A law firm using these reports saw a 65% increase in copyright lawsuit success rates.

(3) Enterprise-Grade Service Capabilities, Adapting to Large-Scale Needs

• Multiple Deployment Modes: Supports cloud-based SaaS, on-premises deployment, and API integration. Industries with strict data security requirements (e.g., finance, healthcare) can opt for on-premises deployment to ensure data never leaves internal servers.
• Bulk Detection Efficiency: The enterprise version allows uploading 1,000+ files (total size ≤10GB) at once, with a detection speed of “100,000 words per minute”. An educational publisher reduced textbook review cycles from 15 days to 2 days using bulk detection.
• Team Collaboration Features: Supports creating 500+ sub-accounts with three-tier permissions (“Admin-Auditor-Viewer”). Admins can allocate detection quotas and view team logs; a multinational enterprise used this to unify content compliance management across 10 global branches.

II. Core Function Matrix: 5 Modules Building an Enterprise-Grade Originality Protection System

(1) Multimodal Detection Core Module: Full-Format Accurate Authentication

• Text Detection Workflow:
  1. Input Methods: Supports file uploads, text pasting, URL import (for webpage content), and cloud document synchronization (Google Docs, OneDrive).
  2. Analysis Dimensions: Marks repetition rate and AI generation probability paragraph-by-paragraph through three dimensions — “semantic fingerprint comparison”, “AI-generated feature extraction”, and “sentence structure analysis”.
  3. Result Presentation: Highlights suspicious areas with color gradients (red = high repetition/high AI risk, yellow = medium risk, green = low risk), with “AI model inference” (e.g., “Suspected Midjourney-generated image”).
• Image & Code Detection Features:
  • Image Detection: Identifies plagiarized embedded text (e.g., stolen copy in ad images) and AI-generated image features (e.g., abnormal pixel distribution). Supports bulk upload of 500 images at once.
  • Code Detection: Locates open-source library sources and logically plagiarized code segments, marks repeated lines and similarity, and generates code optimization suggestions. A tech company used this to identify 3 cases of core code plagiarism, avoiding intellectual property disputes.

(2) Infringement Tracing & Evidence Module: Core of Rights Protection

• Tracing Depth Optimization:
  • Cross-Platform Comparison: Locates all reposted versions of content across platforms (e.g., WeChat articles reposted on Zhihu/Xiaohongshu), marking sources and reposting times.
  • Historical Version Tracing: Queries content revision history to determine infringement timelines, supporting statute of limitations verification for disputes.
• Evidence Report Features:
  • Multi-Format Export: Reports can be exported as PDF, Excel, or HTML. PDF reports include court-recognized timestamps and electronic signatures.
  • Custom Report Templates: Enterprises can add brand logos and detection criteria descriptions for internal compliance archiving or external stakeholder sharing. A listed company used this to demonstrate content originality to partners, increasing trust by 40%.

(3) Enterprise-Grade Deployment & Integration Module: Large-Scale Efficiency Tool

• API Integration Capabilities:
  • Full-Scenario Integration: Offers REST API and SDK for integration with CMS systems (WordPress, Drupal), LMS (Moodle, Blackboard), and e-commerce backends (Shopify, Magento). Enables automation of “content submission → automatic detection → result callback”. An e-commerce platform saw a 78% reduction in product copy infringement complaints post-integration.
  • High Concurrency Support: API endpoints handle 100+ requests per second, meeting enterprise peak-time bulk detection needs.
• On-Premises Deployment Advantages:
  • Localized Data Storage: All detection data is stored on enterprise servers, complying with China’s Data Security Law and Personal Information Protection Law — ideal for financial institutions and government entities.
  • Custom Rules: Supports adding enterprise-specific data sources (e.g., internal document libraries) and custom detection thresholds (e.g., alert for repetition rate >15%). A state-owned enterprise used custom rules for precise compliance detection of internal reports.

(4) Privacy, Security & Compliance Module: Enterprise-Grade Data Protection

• Data Encryption Technology:
  • Transmission Encryption: Uses TLS 1.3 protocol to encrypt uploaded content during transmission, preventing interception.
  • Storage Encryption: On-premises deployment supports AES-256 encryption. Cloud versions automatically delete raw data within 24 hours of detection, retaining only anonymized results.
• Comprehensive Compliance Certifications:
  • Global Compliance: Certified with ISO 27001 (Information Security), SOC 2 Type II (Audit), and EU GDPR — meeting cross-border enterprise detection needs across regions.
  • Industry-Specific Compliance: Meets healthcare HIPAA and financial PCI DSS requirements. A hospital used it to detect medical case reports, ensuring patient data security and content originality.

(5) Education & Academic Module: Safeguarding Academic Integrity

• Academic Detection Features:
  • Automatic Reference Recognition: Excludes properly cited content from repetition rate calculations, reducing false positives by 80% for a university.
  • Assignment Similarity Comparison: Compares similarity between student assignments in the same class, identifies mutual plagiarism, and exports results to Excel — increasing teacher grading efficiency by 3x.
• Teaching Support Features:
  • Originality Scoring: Generates a 0-100 originality score with “plagiarized segment distribution” and “AI generation ratio” analysis, guiding students on improvements.
  • Detection History Tracking: Teachers can view students’ multiple detection records to identify “repeated edits to avoid detection”, enhancing academic misconduct prevention.

III. Typical Application Scenarios: Practical Value Across 4 Sectors

(1) Education: “Smart Defense” for Academic Integrity

• Need: A top-tier university’s graduate school needed to bulk-screen PhD theses for AI ghostwriting and plagiarism to ensure academic integrity.
• Action: Integrated with the thesis management system via API, set “automatic flagging for AI generation ratio >15%” and “alert for post-citation repetition rate >20%”, and enabled “automatic reference recognition”.
• Result: Screened 500 PhD theses in 2 weeks, identifying 12 high-risk submissions (AI ratio >25%) and 18 plagiarized works (post-citation repetition >22%). Initial screening efficiency increased 6x, and academic misconduct reports dropped 72%.

(2) Enterprise: “Shield” for Brand Compliance

• Need: A FMCG brand needed to detect product promotional copy across 10 global branches, screening for AI-generated false claims and infringement.
• Action: Adopted on-premises deployment, uploaded multilingual copy (Chinese, English, Japanese), enabled “multilingual detection + e-commerce platform tracing”, and set branch-specific permissions.
• Result: Identified 3 cases of AI-generated “exaggerated efficacy” copy (89% AI ratio) and 5 infringing segments (from competitor websites). Post-revision, global regulatory complaints dropped 68%, and brand reputation scores rose 25%.

(3) Publishing: “Gatekeeper” for Content Quality

• Need: A tech publisher needed to verify originality and image compliance of submitted manuscripts to avoid copyright disputes.
• Action: Uploaded PDF manuscripts (with text and illustrations), enabled “text plagiarism tracing + image AI detection”, and focused on “literature review” and “data chart” sections.
• Result: Found 2 manuscripts with “text plagiarism” (91% similarity) and 3 AI-generated unlabeled illustrations (Midjourney). Timely revisions avoided post-publication lawsuits, and reader trust increased 40%.

(4) Legal: “Evidence Assistant” for Infringement Claims

• Need: A law firm representing an author needed to collect evidence and trace sources for a copyright infringement case.
• Action: Uploaded the author’s original work and suspected infringing text, enabled “sentence-level tracing + historical version query”, and generated a timestamped compliant report.
• Result: Located infringing text across 3 platforms, with 23 segments showing >85% similarity. The report was adopted as key evidence in court, resulting in a ¥500,000 compensation award for the author.

IV. User Workflow: 3 Steps to Detection, Zero Enterprise-Grade Complexity

(1) Step 1: Select Deployment Mode & Access

• Cloud Users: Visit the official website (https://copyleaks.com), log in to the enterprise account, and navigate to the “Detection Center”.
• On-Premises Users: Log in to the local server backend and create a detection task (single file/bulk/API integration).
• Individual/Education Users: Use the free version (5 detections/day) via the personal detection page, supporting text pasting and single-file uploads (≤20MB).

(2) Step 2: Submit Content & Configure Parameters

• Content Upload:
  • Text/Image/Code: Upload files in the corresponding format (enterprise version supports bulk zip uploads), paste text, or enter a URL.
  • Multilingual Settings: Select detection languages (multiple selections allowed) and enable “multilingual optimization” (for minority languages).
• Parameter Configuration:
  • Detection Scenario: Choose “Academic/Enterprise/Publishing/Legal” — the system automatically applies matching rules.
  • Advanced Settings: Set repetition rate thresholds, enable/disable citation exclusion, and toggle AI generation detection. Enterprise users can add custom data sources.

(3) Step 3: View Results & Export Reports

1. Core Findings: Displays text repetition rate (pre/post-citation), AI generation ratio, and image/code detection results.
2. Detailed Annotations: Highlights suspicious areas with color gradients; hovering shows similarity, source links, and AI model inference.
3. Report Export: Click “Export” to select PDF/Excel/HTML formats. Enterprise users can customize templates with brand information and detection notes.