AI detectors don't work. ForensiCode proves students actually wrote their work by verifying the writing process, not analysing text patterns.
Traditional detection tools create more problems than they solve
The same text gets different results across tools. One flags it as AI, another says it's human. This inconsistency makes decisions impossible.
Research shows detectors disproportionately flag international students, creating systemic unfairness in academic assessment.
Simple paraphrasing or switching AI models defeats detection. Students know how to game the system.
Legitimate work gets flagged constantly. Honest students face investigations, stress, and damage to their academic records.
ForensiCode doesn't guess if text is AI-written. It proves a human typed the document.
SHA-256 hashing and tamper-proof tokens create verifiable proof that can't be faked or modified.
Everything stays on the student's device. No uploads, no servers, no tracking. Fully GDPR compliant by design.
Clear, objective data that stands up to scrutiny. No guesswork, just facts about the writing process.
Four steps from writing to verification
ForensiCode runs quietly, tracking typing patterns, session duration, and paste events locally on the device.
Generate a tamper-proof verification report with cryptographic hash and anonymized telemetry.
Students submit their document plus the verification report. Simple, no extra complexity.
Educators drag both files into our webpage. Everything processes locally—instant verification.
Runs entirely client-side. No servers, databases, or maintenance. Deploy and forget.
Documents can't be modified after export without detection. Cryptographic guarantees.
No personal data collected. No DPA needed. Privacy-first from day one.
Flags anomalies like massive pastes, inhuman typing speeds, or suspicious edits.
No bias against multilingual students. No false positives. Only verifies facts.
Clear telemetry cuts investigation time dramatically. Focus on teaching, not policing.
| Feature | AI Detectors | ForensiCode |
|---|---|---|
| Reliable Results | ✗ | ✓ |
| Fair to All Students | ✗ | ✓ |
| Cannot Be Bypassed | ✗ | ✓ |
| Verifiable Evidence | ✗ | ✓ |
| Privacy Compliant | ✗ | ✓ |
| No False Positives | ✗ | ✓ |
Join universities moving beyond broken detection to verifiable authorship.