UnTXT is an AI writing detection tool used across academic, educational, and professional contexts. Below is an index of confirmed use cases for each user type.
Worried your essay might be wrongly flagged as AI-written? Paste your draft into UnTXT and instantly see which sentences may raise concerns. UnTXT highlights specific passages by pattern type, helping you fix the risky bits before deadline day instead of guessing in panic.
Used AI to brainstorm, improve wording, or structure ideas? That’s increasingly common. UnTXT helps you spot the parts that are machine-written, so you can write in your own words what was authentically yours to begin with.
From EPQs to dissertations, larger assignments can be checked in sections. Analyse each chapter separately, keep track of every result in your history panel, and stay organised as deadlines approach.
Academic Mode lets you review the full analysis before making edits. See where patterns appear, which signals triggered, and how often they occur. Over time, you’ll start recognising the habits that make writing look AI-generated, helping you become a sharper, more independent writer.
Not a tech expert? You don’t need to be. Paste a student submission into UnTXT and instantly see passages flagged as HIGH RISK or MEDIUM RISK for likely AI patterns. Built for busy teachers who want a faster, smarter second opinion without being outpaced by the latest tools students are using.
Create a clean, formatted A4 PDF report for any completed analysis in seconds. Ideal for internal records, academic integrity reviews, meetings, or de-escalation processes. Clearly annotated and ready to download whenever you need documented evidence.
Whether it’s a few essays or an entire cohort, Teacher credit tiers are built for real academic workloads. Credits last 365 days, not 30 days, so you won’t lose value during holidays, exam gaps, or quieter terms. Buy when needed, use when needed.
Clients, colleagues and employers increasingly notice AI-written content. Paste a report, proposal or business document into UnTXT to spot passages that may appear machine-generated before they reach the people who matter.
Review CVs, covering letters and written applications more effectively. UnTXT highlights sections that may have been heavily AI-assisted, helping you focus on authenticity, communication skills and genuine candidate quality.
For agencies, editors, recruiters and content teams, UnTXT helps review submitted copy before it goes live. Identify passages that read artificially generated, check the overall document risk score, and protect your brand standards.
You don’t need to understand prompts, chatbots or detection jargon. UnTXT is built for busy professionals who simply want a practical way to stay up to date with AI-written content and avoid being caught behind the curve.
Share your personal referral link with classmates or study groups. When someone signs up through your link and completes their first analysis, both of you receive bonus CVT credits - no purchase required. This is an easy way to extend your free allocation while helping others discover the tool.
Share your referral link with fellow educators. When a colleague signs up and runs their first analysis, you both earn bonus credits. Teachers reviewing multiple classes benefit from the extra CVT, and the link is available from the account menu at any time.
Professionals reviewing documents as part of a team can share their referral link internally. Each new sign-up that completes an analysis earns bonus credits for both parties, helping teams scale their detection capacity without additional purchases.
UnTXT is compatible with Loughborough University's generative AI policy for assessments. As a detection tool (not a generative tool), students can use UnTXT to audit drafts before submission and demonstrate good scholarship. Best practice: acknowledge use of UnTXT in your assessment statement.
UnTXT is fully compatible with UCL's approach to AI, which is "supportive rather than prohibitive." UCL requires students to acknowledge GenAI use and ensure their final submission is "substantially your own work." UnTXT helps you audit drafts to meet this requirement. Acknowledge use in your assessment disclosures.
UnTXT is fully compatible with Imperial College's academic integrity requirements. Imperial states that using AI to create assessed work without explicit authorization may be treated as contract cheating. UnTXT supports you by identifying AI patterns in drafts so you can rewrite them before submission, maintaining substantial personal contribution. Acknowledge use in your AI tools statement.
UnTXT is compatible with Russell Group principles (which apply to institutions including Loughborough, UCL, Imperial, Oxford, Cambridge, and others). The group emphasizes transparency and substantial personal contribution in assessed work. UnTXT supports both of these principles by enabling you to audit your drafts and maintain authentic voice. Consult your specific institution's generative AI policy for detailed requirements.
UnTXT's compliance depends on your institution's specific AI policy. In general, UnTXT supports transparent scholarly practice by enabling students to audit their work and helping educators maintain assessment integrity. Consult your institution's guidelines on use of detection tools.
Available to all roles after a standard analysis. Academic Weapon submits text to three frontier AI models - Claude Opus 4.7, GPT-5.5, and Gemini 3.1 Pro - for a structured adversarial debate. Only passages where all three models independently agree are highlighted, making it the highest-confidence signal UnTXT offers.
Costs approximately 10× standard CVT - the exact estimate is shown in the pre-flight modal before you confirm. Results are probabilistic: consensus across three independent frontier models is a strong signal, not a legal finding. Satakleja OÜ accepts no liability for decisions made based on these results.