In this guide
The right question to ask
Not "which tool is better", but "which report will my university accept?"
Because here is what happens at the end. Your department runs its own check with its own licence, its own settings and its own tool. That report — not yours — is the one attached to your file and read by the people deciding your outcome. Your pre-check is only useful to the extent that it predicts theirs.
Run the wrong tool and you get a number that may be several points away from the one that counts. Worse, if your department requires a specific report format for its records, the wrong report is simply not accepted and you pay again.
Two questions to your guide, today: "Which plagiarism software does the department use?" and "What similarity limit applies to my submission?" Both answers fit in a one-line reply, and between them they determine everything else on this page.
Side-by-side comparison
| Turnitin | DrillBit | |
|---|---|---|
| Best known for | The global standard; very large publication and student-paper corpus | Rapid adoption across Indian higher education institutions |
| Similarity index | Yes | Yes |
| Source-by-source breakdown | Yes, ranked by contribution | Yes, with database split |
| Included in our report | Similarity index + source breakdown | Similarity + AI content score |
| Detailed full-document report | Standard source list | Yes — a real advantage for long theses |
| Certificate-style summary page | Not standard | Yes — convenient for guide filing |
| Typical Indian usage | Central universities, IITs, many private universities, journals | Many state universities, affiliated colleges, autonomous institutions |
| Our starting price | ₹99 | ₹399 |
| Best suited to | Papers, assignments, journal submissions, frequent draft checks | Full theses and dissertations where you also need the AI score |
Both are recognised plagiarism detection systems in wide institutional use in India. Both report similarity and AI separately. The meaningful differences are in database composition, report structure, and — most of all — which one your institution has licensed.
Why the same file gives two different numbers
Scholars find this genuinely alarming the first time it happens. It should not be. There are three ordinary reasons.
Different databases
A similarity checker can only match your text against what it has indexed. Different tools index different combinations of web content, subscription journal archives and previously submitted student papers. If your literature review draws on a journal that one corpus holds and the other does not, one report shows the match and the other does not. Neither is wrong.
Different matching thresholds
Every tool sets a minimum run of consecutive words before something counts as a match. Set it at six words and common academic phrasing lights up everywhere. Set it at fourteen and most of that noise vanishes. This single setting can move a score by several points on the same document.
Different exclusion settings
Bibliography excluded or not. Quoted material excluded or not. Small matches filtered or not. These are configuration choices, and they are the largest single source of variation between reports — larger, usually, than the difference between the tools themselves.
The practical implication: a report is only predictive if it is configured the way your university configures theirs. When you order a check, tell whoever runs it what exclusions your department applies. It costs nothing and it is the difference between a useful number and an interesting one. More on this in our guide to UGC similarity rules and exclusions.
Why the detailed report matters more than the number
For a 15-page paper, the headline percentage is roughly enough. For a 200-page thesis it is close to useless on its own — and this is where a detailed full-document report changes how you spend your last week.
A single overall figure of 14% tells you nothing actionable. It could be 14% spread thinly across every page, which is essentially unfixable in the time you have. Or it could be four sources carrying almost all of it, which you can fix in an evening. The overall number cannot distinguish between those two situations. The source list can.
That is what you are actually paying for: every match laid out in order of size, with the source it came from and the percentage it contributes, so you can work down the list instead of guessing. This is the main reason we recommend DrillBit for full thesis submissions even though it costs more.
A worked example
Here is a real-shaped breakdown behind a 14% overall similarity on a thesis:
| Matched source | Contribution | What it means |
|---|---|---|
| Your own reference list | 5% | Excludable. Should not be counting at all. |
| A single review paper in your field | 4% | The problem. Paraphrasing sitting too close to the source. |
| Your own earlier published paper | 2% | Self-plagiarism. Cite it properly and it becomes a quotation. |
| University template & declaration page | 2% | Mandated format. Exclude it, do not edit it. |
| Standard definitions in the field | 1% | Unavoidable and harmless. |
| ~40 scattered matches under 0.3% each | <1% total | Noise. Ignore entirely. |
Six of those fourteen points are structural and excludable. One source accounts for the single biggest fixable chunk. An evening spent rewriting that one section — plus a citation added to your own earlier paper — brings the figure comfortably under 10%. Without the detailed list, you would have been rewriting the whole thesis on a hunch.
How to find out which one your university uses
- Ask your guide or supervisor. Fastest, most reliable, and it takes one message.
- Check the PhD or thesis submission handbook. Most institutions name the tool and the similarity limit in the same paragraph.
- Ask the library or research cell. The plagiarism licence usually sits with the library, and librarians tend to give precise answers.
- Look at a senior's submitted report. Anyone in your department who submitted in the last year or two will have a copy. The format is unmistakable.
- Ask us. Send your institution and department name on WhatsApp. We have seen reports from a large number of Indian universities and can usually tell you straight away — no charge, no obligation.
When ordering both makes sense
Most scholars need one. But there are three situations where two is the sensible call:
- Drafting, then submitting. Turnitin during writing because it is cheaper for repeated checks, then a single DrillBit report at the end for the official file.
- Thesis plus journal paper. Your university wants one format; the publisher wants another. Different destinations, different reports.
- A borderline score. If one report puts you at 10.4% against a 10% limit, a second opinion configured differently is worth having before you start rewriting a section you may not need to touch.
The setting that matters more than the tool
If you take one thing from this article, take this. It matters more than Turnitin versus DrillBit, more than price, more than turnaround.
Make certain your pre-check does not store your paper in a student repository.
Here is the failure mode. You get your thesis checked somewhere that submits it to the student paper database. Months later your university runs its official check. That check searches the same database, finds your own stored thesis, and reports a near-total match against a source that is you. Now you are explaining to an academic integrity panel why your thesis appears to be a copy of an existing document, and the explanation is not simple.
Students have lost submission cycles to this. It is entirely avoidable, and it costs nothing — it is one toggle in the settings. Before you order a check anywhere, ask the provider directly whether repository submission is disabled. If the answer is vague, go elsewhere.
At Student PlagiHelp, repository submission is disabled on every check we run, without exception. It is the first thing we verify on every order, and we will confirm it in writing on your chat if you ask.
Frequently asked questions
Is DrillBit or Turnitin better for an Indian thesis?
Whichever your university uses — that is the report your evaluation rests on. If you have a genuinely free choice, Turnitin's corpus is larger for international publications, while DrillBit's detailed full-document report is more useful for a long thesis.
Why do the two tools give different percentages?
Different databases, different minimum-match thresholds and different exclusion settings. A gap of several points on the same document is completely normal and does not mean either report is faulty.
Can I submit a Turnitin report if my university asks for DrillBit?
Usually not. Departments that have standardised on one tool generally require that tool's report format for their records. Confirm before ordering.
Do both tools detect AI-generated content?
Both systems are capable of it, and they report the AI score separately from similarity. Our DrillBit report includes the AI content score; our Turnitin report covers the similarity index and source breakdown. Tell us what your department asks for and we will confirm what your report will contain. See our guide to AI detection scores for how that side works.
Which is cheaper?
With us, Turnitin starts at ₹99 and DrillBit at ₹399. Final pricing depends on word count — see the pricing page, or send your file and we will quote the exact figure before you pay anything.
Tell us your university. We will tell you which report you need.
Send your institution and department name on WhatsApp and we will point you to the right check — even if that means telling you the cheaper one is enough.