Upload a supported document
Create or access your WordBinary account and upload the document you want to review. File types, document limits and processing options depend on the selected plan, account structure and check configuration.
Academic Integrity Software for Individuals and Institutions
WordBinary is academic integrity software that brings AI-writing analysis, source-similarity checking and grammar review into one document workflow. Review AI probability and similarity as separate results, inspect sentence-level and source-level evidence, and download a clear PDF report for revision, record keeping or human review.
Individuals can access WordBinary directly, while approved institutions can use structured teacher, supervisor and connected student workflows with configured permissions and submission controls.
AI probability, similarity percentage and grammar findings answer different questions and should not be merged into one academic integrity score.
| Review | What WordBinary reports | What the result does not prove |
|---|---|---|
| AI detector with PDF report | Document-level probability, sentence signals and interpretation guidance | Authorship, use of a particular AI model or academic misconduct |
| Plagiarism checker with source matches | Similarity percentage, matched text, sources and source contribution | Plagiarism without reviewing citations, quotations and context |
| Academic grammar checker | Grammar, punctuation, spelling and clarity suggestions | Whether content is human-written or original |
Upload a supported document, choose the required checks, examine each result separately and download the available report.
Create or access your WordBinary account and upload the document you want to review. File types, document limits and processing options depend on the selected plan, account structure and check configuration.
Choose AI detection, plagiarism checking, grammar review or an eligible combined workflow. Each check performs a different analysis, and account permissions determine which options are available.
Examine AI probability, sentence-level signals, similarity percentage, highlighted overlap, matched sources and grammar suggestions. The location and context of findings matter more than a headline number alone.
Eligible paid checks provide downloadable reports for revision, record keeping, supervisor discussions, editorial review or authorised institutional assessment.
Results support human review and are not automatic disciplinary conclusions.
An AI probability is a model-based assessment of writing patterns. It does not show the percentage of words definitely written by AI and should not be interpreted as proof of authorship. Review sentence signals alongside writing style, drafts, references, revision history and document purpose.
A similarity percentage shows how much submitted text overlaps with material found in available comparison sources. Correct quotations and references can contribute to the score, while a lower score can still contain an important uncited passage.
Grammar findings identify possible language concerns, including punctuation, spelling, sentence construction and clarity. They do not measure academic integrity or authorship, and users should accept only changes that preserve the intended meaning.
WordBinary publishes first-party model evaluations with stated datasets, measures and limitations rather than presenting performance as a universal guarantee.
WordBinary combines document-level analysis, sentence-level review and report-level interpretation. These layers make the result more interpretable than a single unexplained percentage, while the output remains a model-based assessment that requires context.
A 2026 first-party WordBinary evaluation tested the current model on 9,000 AI-generated texts and 2,000 pre-2015 human academic samples. The reported results apply to that model version, supplied dataset and evaluation conditions; they are not a promise that every future document will be classified correctly.
Performance can change across languages, disciplines, document lengths, heavily edited AI content, paraphrased text, translated writing and mixed human-AI documents. WordBinary therefore treats AI detection as analytical assistance rather than definitive proof.
This example shows the type of evidence available for review. Scores and findings depend on the submitted document, selected workflow, source availability and account configuration.

Available permissions, report retention and repository options depend on account type and configured workflow.
Review supported academic documents before submission and use the findings to support genuine revision under the applicable institutional policy.
Examine manuscripts, working papers, literature reviews and proposals for source overlap, language concerns and AI-writing signals.
Use configured workflows to collect documents and review reports while preserving communication, policy and authorised human judgement.
Configure connected accounts, submission controls, repository comparison, report retention, API access or LTI onboarding where approved.
Support screening and editorial review while considering the document purpose, authorship agreement, citation requirements and publication policy.
Users should download reports they need before the applicable retention period ends.
| Content type | Retention position |
|---|---|
| Files in the general upload area | Removed automatically after seven days |
| Standard user reports | Retained for 60 days |
| Eligible institutional reports | Retained for up to two years; authorised institutions can request earlier deletion through support |
| Authorised repository submissions | Retained until deletion is separately requested by authorised institutional personnel |
How document probability, sentence signals and interpretation work together.
What an AI probability represents and why it requires context.
Why genuine human writing can sometimes receive AI signals.
How to review highlighted matches and source contribution.
Why textual similarity is not automatically plagiarism.
The difference between copying, inadequate attribution and citation mistakes.
How automated suggestions differ from comprehensive proofreading.
WordBinary research, model evaluations and responsible interpretation guidance.
WordBinary, Turnitin and Grammarly address overlapping aspects of writing and document review, but their primary workflows and access models differ.
| Platform | Primary workflow | Typical access |
|---|---|---|
| WordBinary | AI detection, plagiarism checking and grammar review with downloadable reports | Direct individual access and approved institutional workflows |
| Turnitin | Institution-managed submission and academic integrity review | Primarily through participating educational institutions |
| Grammarly | Grammar, style and general writing improvement | Individual and organisational writing accounts |
The platforms use different algorithms, databases, thresholds, report formats and account systems. WordBinary is independent and is not owned, approved, sponsored or endorsed by Turnitin or Grammarly.
WordBinary is an academic integrity software platform that combines AI-writing analysis, plagiarism and similarity checking, grammar review and downloadable reports. It supports direct individual access as well as approved teacher, supervisor and institutional document-review workflows.
Yes. Eligible WordBinary accounts can run AI detection, plagiarism checking and grammar review through a combined workflow. The platform presents the results separately because AI probability, textual similarity and grammar findings measure different aspects of a document.
No. An AI probability estimates whether writing patterns resemble AI-generated text. A similarity score measures textual overlap with available sources. A document can receive a high AI probability and low similarity, or low AI probability and high similarity.
No. WordBinary provides evidence for review, not an automatic misconduct verdict. AI-writing signals and textual overlap should be assessed alongside citations, drafts, writing history, institutional policy, explanations and other relevant evidence.
Depending on the selected check and account permissions, a report can include AI probability, confidence information, sentence-level signals, similarity percentage, highlighted overlap, matched sources, source contribution, citation indicators, grammar suggestions and interpretation guidance.
Files in the general upload area are removed automatically after seven days. Standard user reports are retained for 60 days. Eligible institutional reports can be retained for up to two years. Authorised repository submissions follow the applicable institutional deletion process.
Yes. Individuals can register and access available plans directly. Approved institutions can use configured teacher, supervisor and connected student workflows, with submission limits, permissions, retention settings, repository options and integrations determined during onboarding.
Not necessarily. WordBinary and Turnitin use different source coverage, algorithms, thresholds and reporting systems. Their results are not directly interchangeable, and WordBinary does not promise that a document will receive an identical AI or similarity score on another platform.
WordBinary is academic integrity technology developed by Concepts and Context, a business firm registered in Ayodhya, Uttar Pradesh, India. Founded by Mohammad Zeeshan, the platform supports responsible AI detection, similarity review, grammar checking and evidence-led document assessment.
Check AI-writing signals, source similarity and grammar in one workspace, then review each result in context before submission, publication, assessment or professional delivery.