Writing analysis & revision
Writing should sound like you.
TruthDraft gives students, researchers, and professionals an AI writing detector to check a passage and an AI text humanizer to explore a revision.
TruthDraft evaluates drafted prose by analyzing perplexity variations and syntactic cadence across each paragraph. Statistical uniformity in sentence structure and predictable token sequences frequently trigger algorithmic AI classifiers. Introducing varied sentence rhythm, genuine rhetorical nuance, and authentic burstiness helps authors preserve their natural voice.
AI writing detector
Inspect drafts for statistical repetition, vocabulary uniformity, and highlighted sentences that may trigger AI classifiers.
Open AI detector →AI text humanizer
Explore sentence-level syntactic variations and organic rhythm adjustments while preserving your arguments and references.
Revise my text →Clear data handling
We don’t sell your text or use it for AI model training. Processing is transparent and text is only evaluated when requested.
Read privacy details →A practical workflow
From first draft to a considered revision.
Use the tools as checkpoints. Keep the decisions—and the final wording—in your hands.
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01
Paste a passage
Choose an essay, manuscript section, or report to check or revise.
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02
Review the estimate
See a score and returned highlights. Treat them as clues, not a verdict.
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03
Explore an edit
Compare suggested revisions with your original phrasing.
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04
Check meaning and sources
Verify facts, citations, logical flow, and your intended personal voice.
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05
Choose what to keep
You make the final edit; no score guarantees another tool’s outcome.
Why TruthDraft exists
A score can’t tell the whole story.
The independent software developer behind TruthDraft observed how people got distressed with unclear AI detection statements. False charges are made on students who write very well using plain language, and non-native English writers are disproportionately flagged. On the other hand, most of the tools also have some limitations like asking for subscribing to their services or creating an account first before using them.
Because statistical scores can never establish true authorship, TruthDraft pairs an AI writing check with a revision tool in one accessible place. We do not sell your text or use it to train models. It is processed by a third-party provider under their data terms; see how processing works.
Clear answers
Before you paste anything.
Detector results are just approximations and may not always be accurate. It is possible for them to raise false alarms on texts written by humans and fail to detect those composed with the help of artificial intelligence, therefore, a given score is insufficient evidence for determining the authorship of a certain piece and also for establishing cases of plagiarism. Be careful while arriving at a conclusion taking into account drafts, notes, sources, assignment context, and the rules that apply.
Upon submission of text, TruthDraft directs the same to some third party for processing after which a feedback is obtained. These providers operate under different terms and data storage policies. Ensure to read our privacy notice before sending us any confidential information, and do not post materials that you are not authorized to share.
Different plagiarism-detection software may produce different results. Therefore, it is very important to check your work carefully, regardless of how you have obtained your results, and to verify that it meets the standards of your course or workplace before submitting it.
TruthDraft caters for individuals in education, research and those working who may wish to analyze some texts or compare versions. Nevertheless, these tools cannot identify who the author is or take over of institutional guidance. Ensure that you adhere to the policies related to your assignment when using them in school or at your job.
It is impossible for any accuracy figure to be applicable to all detectors or all writing types. There are several factors involved, for example, which include but not limited to; the model of version and sample, length of the text, the language used, as well as the manner in which the tests are conducted. Examining both false positives and false negatives gives an insight into boundaries: consider every number as a clue that may lead to a decision but not as an absolute verdict.
Different detection systems utilize a range of models, training sets, cut-off points and techniques; hence, the outputs of various systems are not directly comparable. When two or more systems yield contradictory results it does not necessarily mean that one or more systems have made errors— it could be an indication that you need to look more closely at the material and its production history.
Whenever a writing style overlaps with certain attributes that the machine associates with generated writing, the detector would flag it as human generated. But style, language, genre, and passage length can all influence the detector accuracy. A flag is just that—a flag, not proof of anything—and should always be investigated in light of draft versions, notes, and the wider context of the piece.