TrueDraft is an AI writing authenticity and verification platform that helps students, researchers, and authors assess and document the human integrity of their work before submission. Users can paste or upload writing to review human-authenticity signals)Skip, identify sections needing revision, and generate a timestamped integrity certificate with QR verification. The platform is specifically designed to flag likely false positives rather than reducing academic risk to a single unexplained score.
Funding
Funding not disclosed
Founders
Product
Problem
Students, researchers, and professional writers increasingly face false-positive AI-detection results that can cast doubt on their original work and subject them to unfounded academic or professional consequences. Existing AI detectors often provide a single unexplained score without helping users understand why a text was flagged or how to prove its authenticity, leaving writers without a way to evidence their process or defend their voice.
Solution
TrueDraft provides a pre-submission writing authenticity platform that allows users to check, understand, and evidence the integrity of their work. Writers can paste or upload content to review human-authenticity signals and identify specific sections that may need revision before submitting to an institutional review system. The platform generates a writing integrity certificate that includes a timestamp, QR verification, result label, and a writing fingerprint, giving users a documented record of their process. TrueDraft is explicitly designed to explain uncertain results and identify likely false positives, helping writers understand nuanced outcomes rather than reducing their work to a single score.
Target Audience
Primary users are students, researchers, academic authors, and professional writers who need to verify the human authenticity of their work and document its integrity before submitting to institutions, publishers, or review systems.
Features
- Human-authenticity signal analysis that highlights specific sections of text requiring revision before institutional submission
- Writing integrity certificate generation featuring timestamp, QR verification, result label, and unique writing fingerprint for personal records
- False-positive risk explanation system that clarifies uncertain results and identifies likely false positives instead of providing only a single score
- Paste or upload workflow that supports direct text input and document file uploads for flexible checking
- Pre-submission review designed to integrate with institutional review systems downstream