Understand what's human. Detect what's artificial.
TraceMark AI analyzes text, documents and images for signals associated with AI generation — and presents the evidence behind every estimate so your team can make an informed decision.
- Inputs
- 6 formats
- Analysis
- Sentence-level
- Output
- Evidence-based
Drag and drop a file to analyze
or click to browse — PDF, DOCX, TXT, JPG/JPEG, PNG
This build ships the complete product architecture and workflow. No detection engine is connected yet, so detector outputs are labelled as demo data rather than scores.
How TraceMark AI works
A documented process, not a single number
Every analysis is designed to be reviewed by a person and defended in a process — from submission to final case decision.
Submit content
Paste text or upload PDF, DOCX, TXT, JPG/JPEG or PNG files from any device.
Analyze signals
Writing-pattern and metadata/provenance signals are evaluated across the whole submission and sentence by sentence.
Review evidence
Likelihood ranges, confidence levels and flagged passages are presented with explanations — never a verdict on authorship.
Document the decision
Assign a case status, add reviewer notes, and export a report for your institutional record.
Detectors
Three surfaces, one evidence model
Text, documents and images each contribute different signals. TraceMark AI keeps them separate and explains each one.
Text Detection
Paste any passage and see sentence-level signals, flagged spans and plain-language explanations of what was measured.
Explore text detection →Document Analysis
PDF, DOCX and TXT uploads combine writing-pattern analysis with document metadata and edit-history inspection.
Explore document analysis →Image Analysis
JPG/JPEG and PNG files are checked for generation markers, resampling artifacts and content credentials.
Explore image analysis →Who it's for
Built for institutions that must justify a decision
From a single teacher to a multi-department organization with auditors watching.
Education
Department workspaces, reviewer roles and documented case handling for academic integrity teams.
Learn more →Business
Protect brand, editorial and hiring workflows with SSO, audit logs and API automation.
Learn more →Government
Residency options, retention controls and procurement support for public institutions.
Learn more →Security & governance
Audit logs, configurable data retention, organization permissions and account security controls — because detection results end up in sensitive processes.
Review the security model →API
Submit content, poll analysis status and retrieve structured evidence from your LMS, CMS or internal review tooling.
Read the API overview →Pricing
Plans for individuals through government
Start free, upgrade when review volume grows, and move to Education, Business or Government terms when governance requirements arrive.
Free
$0/mo
Try the workflow with limited monthly scans.
Pro
Popular$14.99/mo
For individuals who review content regularly.
Team
$49/mo
Shared workspace with reviewer workflow.
Education
$149/mo
Starting at — for schools and universities.
Business
$299/mo
Starting at — for workplaces and agencies.
Government
Contact
Procurement, residency and compliance support.
FAQ
Questions institutions ask first
Does TraceMark AI prove who wrote something?+
No. TraceMark AI estimates the likelihood that content shows characteristics associated with AI generation. It does not establish authorship, and every result requires human review.
What file types are supported?+
Pasted text, PDF, DOCX, TXT, JPG/JPEG and PNG.
Can results be wrong?+
Yes. All detection methods produce false positives and false negatives, particularly for short passages, translated text, and writing by non-native speakers.
How should institutions use results?+
As one input in a documented review process, alongside drafts, version history, interviews and subject-matter judgement.
Is my content used for training?+
No. Submitted content is processed for analysis only, with configurable retention and deletion.
How does the analysis work?+
Submitted text, documents and images are analysed by an AI model that reports likelihood, confidence, the signals it observed and the passages behind them. Results remain probabilistic estimates, never proof of authorship.
AI detection is probabilistic. This result does not establish authorship and should not be used as the sole basis for academic, employment, disciplinary, or legal decisions.