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SlopTotal
VirusTotal for AI text. 23 engines, self-hosted on CPU.
VirusTotal for AI slop π‘οΈ SlopTotal is an open-source, self-hosted AI text detector. Instead of relying on one model, it runs 23 independent detection engines in parallel locally on CPU to compute one calibrated score. β‘ 23 Engines: Blends neural classifiers, perplexity & heuristics π 100% Local: Runs on CPU (4-8GB RAM) with zero API calls π Validated: Tested on pre-1920 prose to fix false positives π» Open Source: MIT-licensed with live demo & Docker setup
Hey Product Hunt! π I'm Pablo, creator of SlopTotal.
Single AI detectors are notoriously unreliableβthey hallucinate false positives, overfit on modern web copy, or break entirely when given historical prose.
I built SlopTotal to bring transparency to AI text detection, operating like VirusTotal for AI content. Instead of a black-box percentage, it runs 23 independent detection engines locally in parallel on your own hardware and streams every engine's vote in real time.
What makes it different:
β‘ 100% Local & Self-Hosted: Runs on standard CPU hardware (~4GBβ8GB RAM) via Docker with zero third-party API dependencies or data leakage.
π Audited Against Historical Prose: We benchmarked the ensemble against Project Gutenberg literature (1532β1915) to eliminate bias against complex or archaic writing (Machiavelli scored 62.5% AI on single detectors before ensemble calibration!).
π οΈ Exposes Broken Weights: Shows every engine's vote so you can see when models disagree or fail.
π Site-Check Feature: Includes an automated check that identifies footprint markers left by AI app builders like Lovable, v0, Bolt, Base44, and Replit.
π Try the Live Demo: https://sloptotal.com
β GitHub Repo (MIT License): https://github.com/pablocaeg/slo...
I'd love your feedback, edge cases you test against it, or suggestions for new engines to integrate!
About SlopTotal on Product Hunt
βVirusTotal for AI text. 23 engines, self-hosted on CPU.β
SlopTotal was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #157 on the daily leaderboard. VirusTotal for AI slop π‘οΈ SlopTotal is an open-source, self-hosted AI text detector. Instead of relying on one model, it runs 23 independent detection engines in parallel locally on CPU to compute one calibrated score. β‘ 23 Engines: Blends neural classifiers, perplexity & heuristics π 100% Local: Runs on CPU (4-8GB RAM) with zero API calls π Validated: Tested on pre-1920 prose to fix false positives π» Open Source: MIT-licensed with live demo & Docker setup
On the analytics side, SlopTotal competes within Open Source, Artificial Intelligence and GitHub β topics that collectively have 592k followers on Product Hunt. The dashboard above tracks how SlopTotal performed against the three products that launched closest to it on the same day.
Who hunted SlopTotal?
SlopTotal was hunted by Pablo Carrasco. A βhunterβ on Product Hunt is the community member who submits a product to the platform β 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.
For a complete overview of SlopTotal including community comment highlights and product details, visit the product overview.
Pablo Carrasco