Tedkik for Authors
Dear Authors,
Before it reaches the reviewer's desk, your text is technically screened on an independent infrastructure; structural gaps and linguistic inconsistencies surface before submission.
So while you focus on the content, the revision cycle shortens and the risk of time loss during assessment is reduced.
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Document Upload
Transfer to secure infrastructure
Multi-Dimensional Analysis
Scanning on independent infrastructure
Revision Recommendations
Concrete, actionable suggestions
Secure Delivery
Your data remains solely with you
Time Is as Precious as Content
Processes lengthen
Indexed journal reviews stretch over months; the revision cycle can double that duration.
Technical details matter
A significant share of rejections stems from structural, formatting, or reference-related technical gaps.
Early intervention is valuable
Had the same gaps been detected before submission, a second review cycle might have been unnecessary.
Known Challenges of the Process, Tedkik's Response
On the left, the challenges the author faces; on the right, Tedkik's pre-submission response.
What Does the Reviewer Look For?
What the reviewer seeks and what Tedkik screens before submission, side by side
Structural Integrity
Is the flow between sections consistent?
Cross-section consistency and academic structure compliance are evaluated.
Citation and Reference Alignment
Are sources complete and properly formatted?
References, formatting, and in-text citations are verified.
Language and Expression
Is the academic language usage adequate?
Academic language usage, narrative coherence, and clarity of expression are analyzed.
Consistency Analysis
Are concepts and terminology consistent?
Concept, terminology, and expression consistency across the text is examined.
Formatting Compliance
Does it comply with journal standards?
Compliance with journal and academic standards is verified.
Content Flow
Is the argument flow coherent?
Logical flow and readability from introduction to conclusion are evaluated.
Platform at a Glance
Tedkik is an analysis platform powered by its own large language model infrastructure, operating independently without relying on external services. Uploaded documents are never shared with third-party systems and are processed solely for analysis purposes. The system evaluates text across 12 distinct analysis layers, generates dynamic revision suggestions, and ensures the highest level of data security and analysis consistency through its end-to-end independent architecture.
Trust and Data Protection
Your data is never sent, shared, or analyzed — directly or indirectly — by any structure, company, or external model. Tedkik runs entirely on local models over infrastructure allocated by Tedkik engineers on Turkey-located servers; your analysis is completed end-to-end on this infrastructure.
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Analyze securely, apply recommendations, and improve submission readiness.