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.
Paste a completed essay or draft into UnTXT to identify which passages may be flagged as AI-generated. UnTXT highlights specific sentences by signal type — SPIKE (AI buzzwords), SYNTAX (repetitive structure), TEMPLATE (boilerplate) — so you can target exactly what needs to be changed before submitting.
If you used an AI tool to help draft or improve text, UnTXT highlights the passages most likely to be flagged, allowing you to rework specific sentences rather than starting over. The colour-coded results show you which type of pattern each flagged sentence matches.
UnTXT has a Dissertation credit tier providing enough CVT to analyse large documents. Paste each chapter separately and track all analyses via the history panel, which shows date, word count, score, and credit cost per entry.
Enable Discovery Mode to defer all replacement suggestions until after you have reviewed the full analysis. Flagged passages are collected and presented together at the end, letting you study the overall pattern of flags — which modules triggered, how often, and where — before deciding what to change. This encourages deeper understanding of AI writing patterns and helps you improve your writing habits over time.
Paste a student's submission and review which passages are highlighted in Standard Mode: HIGH RISK (remove or replace) and MEDIUM RISK (consider rewriting). Standard Mode is the default for the Teacher role and is designed for rapid review across multiple submissions.
Download a formatted A4 PDF analysis report for any completed analysis. The report is titled "Analysis Report", branded "Analysed by UnTXT", and includes a legal disclaimer from Sataklela OÜ. Available to Teacher and Professional role users from the analysis view or from history.
Teacher credit tiers (Test / Class / Batch) provide CVT bundles sized for analysing multiple submissions. Purchased credits are valid for 365 days — not monthly — so holidays, summer terms, and quiet periods do not deplete the allocation.
UnTXT analyses any text, not only academic writing. Paste a report, proposal, or document to identify passages with AI writing characteristics. The Non-academic professional role adjusts the interface and default mode accordingly.
Professionals screening written applications can use UnTXT to flag passages likely produced by an AI tool, with colour-coded signal types giving a clear indication of which patterns were matched.
Content managers, editors, and publishers reviewing submitted articles or copy can use UnTXT to identify AI-generated passages before publication, using both the per-passage signal labels and the overall document risk score.
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.