SubmitSense — Pre-Submission Turnitin AI and Similarity Checks

What is SubmitSense?

SubmitSense is a third-party, pre-submission checking service that sells access to "the official Turnitin AI + similarity report." Its purpose is narrow: let a student or researcher see the AI-detection and similarity scores a document would receive before submitting it through an institutional system. The site is explicit that it is an independent service and not affiliated with Turnitin LLC, whose name is a registered trademark. The intended users are students checking essays and theses, researchers pre-screening papers, and anyone who wants to avoid a self-match problem in their institution's repository. Alongside the paid checker, the site maintains blog guides on Turnitin scores and detectors plus a citation generator.

How SubmitSense Works

The workflow is a three-step loop. First, upload a document in DOCX, PDF, TXT, or RTF format; accepted submissions run from 400 to 30,000 words with a 40 MB file cap. Second, wait for the report — the site states most reports arrive in 5-15 minutes and 99% within 30 minutes. Third, read the plain-English explanation of the score along with revision guidance. On the privacy side, SubmitSense says it strips metadata before processing, deletes uploaded files within 24 hours, never adds documents to a university repository, and keeps reports accessible for 30 days before removal.

Main Features

• Official Turnitin reports — AI-detection score plus similarity/plagiarism report from the same engine institutions use.
• Plain-English score explanations — each report comes with an interpretation and concrete revision steps.
• Repository-safe checking — documents are stated to never be added to a university repository, avoiding future self-matches.
• Privacy handling — metadata is stripped before processing and uploaded files are deleted within 24 hours.
• 30-day report access — results remain viewable for a month after checking.
• Learning resources — blog guides on Turnitin scores and detectors, plus a citation generator.

Pricing

SubmitSense uses one-time payments with no subscription and no free tier. A Single Check costs $4.99. The Semester Pack costs $13.99 for three checks ($4.66 per check) and is marked most popular. The Thesis Pack costs $44.99 for ten checks ($4.50 per check) and adds priority support with a 6-hour SLA. Credits never expire, and the site offers a money-back guarantee "if we fail to deliver" a report.

Common Use Cases

• Pre-submission checks — seeing an essay's likely AI and similarity scores before handing it in.
• Thesis and dissertation revision — using the ten-check pack across drafts of a long document.
• Avoiding repository self-matches — checking through a channel that does not deposit the file into an institutional database.
• Citation clean-up — pairing similarity feedback with the site's citation generator before final submission.

Limitations

The disclaimers matter here. SubmitSense states it is not endorsed by Turnitin LLC, and AI detection — from any vendor — may produce false positives or false negatives; the site says results "are not a sole basis for any decision" and that fully human writing can be flagged. Scores may differ from GPTZero or other tools, and there is no guarantee the number matches what a specific university's Turnitin configuration later reports. Reports are removed after 30 days and files after 24. Each revised draft consumes another paid check, there is no free tier, and no company, country, or launch information is published.

Summary

SubmitSense does one specific job: it shows students and researchers an official Turnitin AI and similarity report before institutional submission, with clear one-time pricing and fast stated turnaround. Its privacy claims — metadata stripping, 24-hour file deletion, and no repository deposits — address the main fears around pre-checks. But it is a paid, single-purpose reseller-style service with explicit accuracy disclaimers, so it is best treated as a directional pre-check rather than a guarantee of any later institutional result.