Identific Plagiarism checker and AI detector for ultimate integrity standard

What is Identific?

Identific (formerly OXSICO) provides a comprehensive academic integrity solution featuring advanced plagiarism detection and AI-generated content identification capabilities. Designed primarily for higher education, secondary education, and businesses, the platform aims to simplify the process of ensuring originality in written work. It leverages over 13 years of algorithm development to deliver precise and fast results with minimal false positives across a vast range of languages.

The tool integrates multiple detection technologies, including similarity checking against extensive databases (internet, scholarly articles, student databases), AI content analysis using linguistic information, cheat detection (identifying hidden characters or images), and contract cheating detection through stylometric analysis. Identific supports various document formats and offers seamless integration with Learning Management Systems (LMS) via LTI and custom solutions through its API, facilitating easy adoption within existing institutional workflows.

Features

Similarity Detection: Checks documents over 1000 pages long in 129 languages with high precision and speed.
AI Detection: Identifies AI-generated text in multiple languages (English, Spanish, Italian, German, French, Lithuanian) using linguistic analysis.
Cheat Detection: Uncovers academic misbehavior like hidden character insertion or using images instead of text.
Contract Cheating Detection: Employs stylometric analysis to find style inconsistencies indicative of contract cheating.
Multilingual Support: Fully supports plagiarism checks in 129 languages and various writing systems.
Citation Builder: Allows customization of citation rules for automated and precise citation discovery.
Extended Scoring: Provides additional scores for paraphrasing, correct/improper citations, and AI content.
Document-alike Report: Maintains the original document's formatting (images, tables) in the report.
Doc-to-doc Comparison: Enables local comparison between selected documents without using main databases.
Multiple Supported Formats: Accepts various file types including TXT, PDF, DOCX, ODT, PPTX, JPEG, Google Docs, and more.
Scholarly Articles Database: Compares submissions against a vast database covering 3 out of 4 published scholarly articles.
Optical Character Recognition (OCR): Extracts text from picture-based PDF files for checking.
LTI Integration: Seamlessly integrates with LMS platforms like Moodle, Canvas, Blackboard.
API Integration: Offers an API for creating customized plagiarism detection solutions.