Remove AI From a DrillBit Report
What the AI percentage on a DrillBit report means, how it differs from the similarity score, and how to rewrite the passages it flags without breaking your citations.
Why DrillBit Reports Confuse Students
Your department runs DrillBit, the report comes back with two different percentages, and nobody explains which one matters. Most guidance online is written about Turnitin, which your university may not even use.
Work From the Flagged Passages
The similarity score and the AI score are different problems with different fixes. Work out which one you have been flagged on, then rewrite only the passages the report highlights.
How it works
- Check whether you were flagged on similarity or on AI — they are separate scores
- Get the full report with the highlighted passages, not just the percentages
- Confirm your department's threshold, which is set locally
- Rewrite the flagged passages with named sources and your own material
- Keep your drafts and version history throughout
What DrillBit is and why your university uses it
DrillBit is a plagiarism and AI detection platform used widely across Indian higher education. It is sold to institutions rather than individuals, which is why you cannot buy access or run your own check — the report has to come from your department.
- It is the default for ShodhShuddhi, the Ministry of Education's plagiarism-detection initiative run through INFLIBNET under the UGC, a role it took over from Turnitin in late 2023.
- Reported reach: independent reporting puts it at over 1,150 institutions and more than 1.7 million documents checked.
- Thresholds are institutional. DrillBit publishes no universal limit; your department or the thesis office sets it, and it differs by degree level.
- Its AI detection is newer than its similarity checking, and unlike Turnitin's it has no independent published benchmark, so treat the AI figure with more caution than the similarity one.
Two scores, two different problems
Most of the confusion around DrillBit reports comes from treating the two percentages as one number. They are flagged for different reasons and fixed in completely different ways.
| Similarity score | AI score | |
|---|---|---|
| What it finds | Your text matching existing sources | Writing that resembles generated text |
| Usual cause | Quoting or paraphrasing without citing | Generic, evenly structured prose |
| The fix | Cite it, quote it properly, or rewrite in your own words | Rewrite the passage with specifics |
| Typical limits | Often 10–20%, set by your institution | Rarely published at all |
| Reliability | Well established | No independent benchmark |
Check which one you were actually flagged on
A thesis returned at 8% similarity and 24% AI has no similarity problem at all. Rewriting to fix citations in that case wastes days and changes nothing, because the flag is on a different score entirely.
What pushes the AI score up
Detectors score how predictable the word choices are and how evenly the sentences run. In a thesis, the sections most likely to trip that are the ones you were taught to write most conventionally.
- The literature review. Summarising other people's findings in neutral language is exactly the pattern detectors read as generated.
- Methodology. Standard procedures described in standard terms have limited phrasing options.
- Abstracts and chapter introductions, which compress everything into general statements.
- Writing in a second language. The largest single risk factor. Peer-reviewed testing found seven detectors wrongly flagged an average of 61.3% of TOEFL essays by non-native English speakers, while being near-perfect on native-speaker writing.
- Grammar tools, which smooth prose toward the conventional.
For a student body writing largely in English as a second language, that fourth point matters more than any other. If you wrote the work yourself, the false positive guide covers what evidence to gather.
Rewriting the flagged passages
- Get the highlighted report, not the summary page. The percentages alone give you nothing to act on.
- Rewrite only what is flagged. In a thesis this is usually a handful of sections, not the whole document.
- Name the study. "Several researchers have noted" becomes "Rao and Iyer (2021) found, in a sample of 240 units". This is also what your examiner wants.
- Add what is yours — your data, your instrument, your site, the limitation you actually hit.
- Keep every reference intact. Rewriting around citations is where theses lose references, and a missing citation is a worse problem than the score you started with.
- Do not word-swap. Replacing common words with rare ones is visible to an examiner and unreliable against detectors in both directions.
Do not rewrite if you are already under review
Once an allegation exists, altering the document is the most damaging thing you can do, especially where version history shows the original. Preserve everything and work through your institution's process.
Doing it without the copy-paste
If you have the DrillBit report as a PDF, the Auto AI Remove Agent reads it and works through your document for you.
- Upload the DrillBit report and your .docx. The agent reads which passages were flagged.
- It rewrites those passages in place, inside your own file, leaving the rest untouched.
- Citations, figures and quotes are checked on every rewrite, and anything missing is listed rather than silently dropped — which matters most in a thesis.
- You see the price first — a flat ₹100 up to 3,000 words, charged only once you approve it.
The argument stays yours. What the agent removes is the hour of moving passages between a PDF, a chat window and your document without losing a reference.
Want the method, not just the tool?
How to Humanize ChatGPT Text (Without Making It Worse) — Why AI text reads the way it does, how detectors actually work, why they flag innocent students — and the rewriting moves that make writing genuinely yours.
Try it on your own document
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