Originality.AITranslation site

I. Core Positioning: The “Originality Guardian” for Creators & Enterprises

• Dual-Function Integration: Combines “AI-generated content detection” and “text duplication tracking” in a single platform. Users can verify both “AI usage” and “originality level” with one tool, eliminating the need for multiple software subscriptions.
• Creator-Centric Optimization: Equips freelancers and content studios with practical features like customizable “originality reports” and client-sharing tools. These features help build trust with clients by providing transparent proof of content authenticity.
• Enterprise-Grade Data Security: Adheres to global data protection standards, including TLS 1.3 for data transmission and AES-256 for storage encryption. It’s fully compliant with GDPR and CCPA, making it safe for sensitive business content (e.g., new product marketing plans or internal reports).

II. Core Feature Matrix: 4 Modules for Comprehensive Originality Protection

(1) AI-Generated Content Detection: Capturing “AI Traces” with 99.1% Accuracy

• Multi-Model Support: Identifies content from major AI models, including ChatGPT 3.5/4o, Claude 3 Opus, Gemini 1.5, Midjourney V6, and Stable Diffusion. It maintains 92.3% accuracy even for “AI-human hybrid content” (text modified up to 45% by humans)—a critical advantage for catching partially edited AI work.
• Visualized Results: Displays an overall AI probability score (0-100%) for the entire text, with paragraph-level risk indicators color-coded for clarity: red (high risk, ≥70% AI probability), yellow (medium risk, 30-70%), and green (low risk, ≤30%). Hovering over highlighted sections shows “AI model guesses” (e.g., “90% likely generated by ChatGPT 4o”) and explanations of suspicious patterns.
• Fast Processing: Analyzes short texts (up to 1,000 words) in ≤5 seconds and long-form content (up to 10,000 words) in under 2 minutes. Premium plans support batch detection of up to 200 files at once, tripling content review efficiency for marketing teams.

(2) Global Originality Tracking: Locating Duplicate Sources Across 10 Billion+ Data Points

• Wide Data Coverage: Scans over 10 billion sources, including blogs, e-commerce platforms (Amazon, Rakuten), social media (Instagram, X), and academic databases (J-STAGE, Google Scholar). It can trace content published since 2010, ensuring no duplicate source goes unnoticed.
• Sentence-Level Precision: For duplicated sentences or paragraphs, it provides the original source URL, publication date, and similarity score (0-100%). A freelance writer recently used this feature to identify unauthorized reposting of their blog on a media site, collecting evidence of 94% similarity to pursue legal action successfully.
• Customizable Plagiarism Calculation: Users can manually mark cited sections to exclude them from plagiarism scores, ensuring accurate originality assessments for academic papers or content with attributed quotes.

(3) Creator Toolkit: Balancing Content Quality & Delivery Efficiency

• Customizable Originality Reports: Export detection results as professional PDF reports—ideal for sharing with clients as “proof of originality.” Users can add brand logos, detection criteria, and notes to align with client expectations.
• Deadline Management: Track multiple client projects by setting “detection completion dates” and “delivery deadlines.” The platform sends automated email reminders as deadlines approach, preventing missed submissions.
• Team Collaboration: Premium plans support up to 50 team members, with role-based permissions (Admin, Editor, Viewer). One content studio used this feature to manage 10 writers, reducing review time by 40% through centralized detection and feedback.

(4) Enterprise Security & Integration: Meeting Large-Scale Compliance Needs

• On-Premises Deployment: Available for industries with strict data security requirements (e.g., finance, healthcare). All detection data is stored on the company’s internal servers, eliminating third-party data exposure risks.
• API Integration: Offers a REST API to connect with enterprise systems, including CMS platforms (WordPress, Drupal), CRM tools (Salesforce), and document management software (SharePoint). This enables automated workflows: “content creation → auto-detection → result notification.”
• Compliance Certifications: Holds ISO 27001 (information security) and SOC 2 Type II (service audit) certifications. It also complies with industry-specific regulations like HIPAA (healthcare) and PCI DSS (finance), meeting diverse compliance needs.

III. Typical Use Cases: Proven Value Across 4 User Groups

(1) Freelance Writers: Building Client Trust with “Originality Proof”

• Challenge: A freelance writer faced contract renewal risks when a client suspected their blog posts contained hidden AI-generated content.
• Solution: The writer used Originality.AI to test the posts, generating a report showing a 3.2% AI probability (low risk) and 0% plagiarism. They shared the report with the client to confirm authenticity.
• Result: The client’s concerns were resolved, and the contract was extended for 2 years. The writer also received referrals, increasing their project volume by 30%.

(2) Marketing Agencies: Centralized Content Quality Management

• Challenge: A multinational company’s marketing team spent over 20 hours weekly reviewing 500 monthly product copies (from 8 global offices) for AI use and duplication.
• Solution: The team integrated Originality.AI’s API with their internal CMS, setting thresholds of >15% AI probability and >20% plagiarism. High-risk copies were automatically flagged for review.
• Result: Content review time dropped from 20 hours to 5 hours weekly. AI-related quality issues decreased by 78%, and global brand messaging consistency improved significantly.

(3) Publishing Houses: Early Copyright Infringement Alerts

• Challenge: An academic publisher discovered unauthorized reposting of its textbooks on multiple online learning sites but struggled to identify sources and collect evidence.
• Solution: Using Originality.AI’s global tracking feature, the publisher searched key textbook excerpts, collecting URLs, publication dates, and duplicate sections. Time-stamped screenshots were saved as legal evidence.
• Result: 5 major infringing sites were identified in 1 week, and all infringing content was removed through legal action. The publisher recovered approximately ¥2 million in lost sales.

(4) Educational Institutions: Safeguarding Academic Integrity

• Challenge: A university’s literature department saw a rise in AI use in student assignments and theses, making manual verification impractical.
• Solution: The university integrated Originality.AI with its LMS (Moodle), automatically scanning submissions. Assignments with >20% AI probability were flagged for professor review.
• Result: AI-related academic misconduct dropped from 35 cases to 8 cases per semester. Professor review time decreased by 30%, and student awareness of academic integrity improved.

IV. Step-by-Step Usage Guide: Master It in 5 Minutes (For Beginners)

(1) Step 1: Account Registration & Plan Selection

• Create an Account: Visit the official website (https://originality.ai) and sign up with an email address or Google account. First-time users receive 10 free detection credits. Click the link in the confirmation email to activate your account.
• Choose a Plan:
  • Starter Plan: $19/month, 100 detections/month. Includes basic AI detection and originality tracking—ideal for freelancers or individual creators.
  • Premium Plan: $49/month, 500 detections/month. Adds batch file processing (up to 200 files/run), team member access (up to 50 users), and customizable reports—suited for small-to-medium marketing teams or content studios.
  • Enterprise Plan: $199+/month (custom). Offers unlimited detections, on-premises deployment, API integration support, and a dedicated account manager—designed for large enterprises or educational institutions.
• Payment Methods: Accepts credit cards (Visa, Mastercard), PayPal, and Apple Pay. All plans include a 7-day free trial (no cancellation fees) to test all features.

(2) Step 2: Select a Content Input Method

1. Direct Text Input: Paste up to 10,000 words into the text box—perfect for scanning excerpts of academic papers or blog posts. Click “Save Draft” to edit or resume detection later.
2. Single File Upload: Drag-and-drop files in .docx, .pdf, or .txt format (max 100MB). OCR technology automatically recognizes text in image-based PDFs for accurate detection.
3. Batch File Upload (Premium+): Compress multiple files into a ZIP folder or connect to Google Drive/OneDrive to select an entire folder. Process up to 200 files at once and download results in bulk.
4. URL Import: Enter a webpage URL to extract and scan its text—useful for checking competitor product copies or online articles for originality.

(3) Step 3: Configure Detection Settings (Optional)

• AI Detection Mode:
  • Standard Mode: For general content. Outputs AI probability and model guesses.
  • High-Precision Mode: For academic papers or critical business documents. Improves accuracy for AI-human hybrid content (processing time doubles).
• Originality Tracking Settings:
  • Global Database Search: Enabled by default. Scans global web sources for duplicates.
  • Academic Database Search: Optional for academic papers. Adds scans of J-STAGE, Google Scholar, and other academic sources.
• Exclude Citations: Manually select quoted text (marked with ” “) or “References” sections to exclude them from AI detection and plagiarism calculations—reducing false positives for academic content.
• Notification Settings: Choose to receive email or in-platform alerts when detection is complete. Critical for batch processing, as it eliminates the need to wait for results.

(4) Step 4: Run Detection & Analyze Results

1. Review the Results Dashboard:
   • Top Section: Displays the overall “AI Probability” (0-100%) and “Overall Originality Score” (0-100; higher = more original).
   • Middle Section (“Content Preview”): Shows text color-coded by AI risk (red/yellow/green).
   • Bottom Section (“Duplicate Sources List”): Sorts sources by similarity score, with each entry including the URL, publication date, and duplicate excerpt preview.
2. Conduct Detailed Analysis:
   • Click high-risk AI sections to view “AI Model Guesses” (e.g., “85% likely from Claude 3 Opus”) and “Suspicious Traits” (e.g., “Regular sentence structure lacking natural human expression”).
   • Click “View Details” for duplicate sources to compare matching sentences side-by-side. Save time-stamped screenshots as evidence for copyright claims.
3. Perform Follow-Up Actions:
   • Edit Suggestions: For high-risk AI text, view specific recommendations to make content more human (e.g., “Change passive voice to active voice” or “Adjust technical term usage”).
   • Re-Detect: After editing, click “Re-Detect” to check updated AI probability and originality scores.
   • Share Results: Premium+ users can share results via link with team members or add comments for collaborative review.

(5) Step 5: Generate & Save Originality Reports

• Report Formats:
  • PDF Report: Best for client submissions or internal records. Add brand logos to headers and detection dates/criteria to footers.
  • CSV Report: For analyzing batch detection data. Exports AI probability, originality scores, and duplicate source info in table format.
  • Excel Report: For detailed analysis. Includes additional data like high-risk AI section locations and duplicate similarity distributions.
• Customize Report Content:
  • Basic Info: File name, detection date, and credits used.
  • AI Detection Results: Overall AI probability, paragraph-level AI risk distribution, and top AI model guesses.
  • Originality Tracking Results: Overall plagiarism rate and top 5 duplicate sources (URL, similarity score, publication date).
  • Notes: Add detection criteria (e.g., “Based on 99.1% AI detection accuracy”) or caveats (e.g., “Plagiarism rate calculated excluding citations: 5%”).
• Save & Manage Reports:
  • Reports auto-save to the “My Reports” section. Use the search bar to find files by name or date.
  • Premium+ users can sync reports with Google Drive/OneDrive for backup and sharing.
  • Scheduled Reports (Enterprise Plan): Automatically generate weekly/monthly detection reports and send them to specified email addresses.

V. Usage Tips & Notes for Beginners

1. Maximize Free Credits: Use your 10 free detection credits to test existing content (e.g., past blog posts or assignments) and familiarize yourself with features before choosing a plan.
2. Boost AI Detection Accuracy:
   • For long texts (≥5,000 words), use “High-Precision Mode” to improve hybrid content detection.
   • Always enable “Exclude Citations” for academic papers to avoid false positives from referenced material.
3. Streamline Originality Tracking:
   • To prioritize specific sources (e.g., competitor websites), enter URLs in the “Custom Search Domains” field.
   • For copyright claims, save time-stamped screenshots of duplicate sources—these serve as critical legal evidence.
4. Optimize Team Usage:
   • Assign roles clearly: limit “Admin” access to plan managers, “Editor” access to content reviewers, and “Viewer” access to stakeholders.
   • Name batch detection tasks after projects (e.g., “Q3 Product Copy”) to simplify later searches.
5. Troubleshooting Common Issues:
   • File Upload Failures: Check file size (max 100MB) and format (.docx/.pdf/.txt). Unlock encrypted PDFs before retrying.
   • Unexpected AI Results: Contact support via “Help Chat” with the text in question—support staff provide detailed analysis to resolve discrepancies.
   • Browser Errors: Use the latest version of Chrome for optimal performance. Clearing cache and cookies often fixes loading issues.