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Review pasted text or supported documents for probabilistic AI-writing signals. Detector de IA reports risk, evidence strength, sentence highlights, and limitations, then lets you copy a summary or export a printable report. Results require context and do not prove authorship or definite AI use.
Hi Product Hunt, I built Detector de IA because I kept hitting the same workflow gap:
People were getting a detector percentage without enough context to understand what it could and could not support.
I wanted the report to show uncertainty instead of turning one percentage into an accusation. The score is a review signal, and the final judgment still belongs to a person with the surrounding context.
1. Paste 300 to 100,000 characters or upload a supported PDF, DOCX, TXT, or Markdown document under 12 MB.
2. Run the analysis and review the probabilistic verdict, risk, evidence strength, and sentence highlights.
3. Check the highlighted passages in context instead of treating the score as proof.
4. Copy the summary or export the printable report for a separate human review.
Results can include false positives and false negatives. They do not prove authorship, plagiarism, misconduct, or definite AI use, and should not be the sole basis for high-impact decisions.
I would appreciate feedback on:
- whether the distinction between a review signal and proof is clear enough
- whether sentence highlights and evidence notes provide enough context before export
- which document-review step still needs a clearer explanation
How does this handle heavily edited AI drafts where someone rewrites most of it in their own voice, does it still flag strong signals or does the evidence strength drop off quickly in that scenario?
how does it handle mixed text where someone rewrote AI output in their own words, does the evidence strength actually drop or just confidently flag the whole thing as suspicious?
About Detector de IA on Product Hunt
“Review AI signals in text and documents”
Detector de IA was submitted on Product Hunt and earned 11 upvotes and 6 comments, placing #43 on the daily leaderboard. Review pasted text or supported documents for probabilistic AI-writing signals. Detector de IA reports risk, evidence strength, sentence highlights, and limitations, then lets you copy a summary or export a printable report. Results require context and do not prove authorship or definite AI use.
Detector de IA was featured in Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 105.3k products, making this a competitive space to launch in.
Who hunted Detector de IA?
Detector de IA was hunted by EthanCole. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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