GPTKit

• Multi-model detection engine incorporating six distinct AI-analysis techniques
• Accuracy rate of up to 93% in distinguishing human and machine-generated text
• Free analysis for the first ~2048 characters per submission
• Detailed authenticity and reality reports on each text scan
• Team account support allowing shared credits across collaborators
• English-language support with plans to expand language coverage
• Temporary storage policy ensures input text is deleted once processed
• Uploadable files or pasted text for analysis
• Ideal for educators, students, writers, freelancers and content-teams
• Dashboard interface with report export and usage tracking

GPTKit is designed to help organisations and individuals validate the authenticity of textual content by determining whether text was created by a human or generated by an AI model. The platform leverages a multi-model architecture that combines six different detection methods, aiming to identify subtle patterns, lexical anomalies, statistical irregularities and machine-writing signatures that simpler tools often miss. Users may submit text—either pasted or uploaded, up to a free-limit of characters—and receive a detailed report that includes an authenticity score, a “reality” index indicating likely human authorship, and a breakdown of flagged segments. Team collaboration is built in: users can create teams, share credits, manage usage and ensure consistent oversight across content workflows. The free tier allows basic usage while higher volumes or enterprise features are available via paid plans. GPTKit currently supports English content and emphasises privacy by deleting input text after processing. It is particularly useful for educators checking student work, content teams verifying third-party writing, freelancers wanting to validate originality, and anyone tasked with maintaining content integrity in an era of easy AI-generation. By embedding GPTKit into content validation workflows, organisations can reduce risk of publishing AI-generated work without disclosure, improve transparency, and build trust in written materials. With rising concerns around AI-written text and potential impacts on SEO, editorial standards and compliance, GPTKit offers a focused solution for detection and accountability.