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AI Detector

Slop or Not vs Pangram: AI Detector (2026)

Pangram backs its 99.98% accuracy claim with cited university research from Chicago Booth and Maryland — real citations, though it's Pangram citing the research, not an independent replication. Once the 4 daily free credits run out, Slop or Not keeps checking text and images on iPhone or Mac without sending anything to a cloud.

Pangram is an AI text detector that claims 99.98% accuracy and a 1-in-10,000 false-positive rate, citing University of Chicago Booth and University of Maryland research. It offers file upload, a Chrome extension, Google Docs integration, and an institutional tier for schools. Slop or Not checks AI-generated text and images on your iPhone or Mac on-device, with limited daily free checks and no per-document word cap.

Privacy, Pricing, and Workflow Matrix

Public product, pricing, documentation, and benchmark pages can change. Source links are listed below the table so the cells stay readable.

FeatureSlop or NotPangram
Best fit

On-device iPhone and Mac checks or free browser checks for text and images

AI text checks for educators, publishers, and institutions (vendor claims 99.98% accuracy)

Text detection

Checks writing in the native app and online checker

Labels text as human, AI, or AI-assisted and reports how much reads as AI-generated

Image detection

Checks photos, synthetic images, and provenance clues in the app or online checker

No

Deepfake detection

Covers deepfake and synthetic-image checks as image detection

No

Metadata and provenance signals

Reads SynthID, C2PA, and IPTC signals in native and online image checks when a file carries them

Not publicly clear

Manual forensic tools

Reports detector and provenance evidence in native and online checks; not a manual forensic editor

No

Evidence level

Probability verdict plus provenance signals, with internal-test caveats instead of 99.9% certainty claims

Returns an AI percentage with interpretability highlights and PDF or DOCX upload

Browser checker

Free online checker runs in any browser on Numen's private Mac server; submissions are deleted after processing

Web app plus a Chrome extension and Google Docs integration

Native Apple app

Native iPhone and Mac app for on-device checks; browser users can use the free online checker

No

API workflow

Pro Mac app includes a local CLI and MCP server; no public hosted API

Developer API with pay-as-you-go credits is listed

Classroom workflow

Useful for checking student writing on-device in the app or through deleted-after-processing online checks

Institutional License adds LMS integrations and unlimited checks for schools

Free tier & limits

Free daily checks in the iPhone and Mac app and a free online checker in any browser. Pro removes the native daily cap; the native app has no per-document word cap.

Free plan lists 4 credits per day with no payment method; one credit covers up to 1,000 words

Privacy

Native checks stay on the iPhone or Mac and never send submitted text or images to a third-party AI provider. Online checks run on Numen's own Apple hardware, and submissions are deleted after processing.

Text is sent to Pangram and checked in the cloud to return a result

Main limitation

On-device privacy requires iPhone or Mac; browser checks run on Numen's private Mac server, not on-device

Text only; regular use beyond the 4 daily free credits moves to paid credit plans

✓ = supported, ✕ = not offered, – = not publicly documented. Details reviewed June 2026 from public product, pricing, documentation, and benchmark pages.

Sources reviewed

Where your text & images go

With Pangram, your submitted text is processed for AI detection, along with account and billing data for registered customers. Its policy says submissions are not used to train its models, and content from registered accounts is deleted within 30 days of the account being closed. See the Pangram privacy policy for details. Slop or Not keeps native checks on your iPhone or Mac, and online checks run on Numen's own Apple hardware and are deleted after processing.

Where Slop or Not Fits

Pangram's 4 free credits a day cap out around 4,000 words; Slop or Not checks images too, right on the device, with no per-document word cap and no credits to track.

  • Slop or Not runs its own detection models, so no third-party AI provider sees your text or images. Native checks run on the Apple Neural Engine; online checks run on Numen's self-hosted Apple hardware, and submissions are deleted after processing.
  • Free daily checks in the iPhone and Mac app and in the free online checker. Pro removes the daily cap, and native checks have no per-document word cap.

How They Compare by Workflow

Slop or Not is not the right answer for every workflow — pick the tool whose strongest workflow matches the check you need to run.

Slop or Not

Use it for people who want native Apple checks or the free online checker for text, images, and provenance clues.

Pangram

Use it for academic and publisher text detection it markets as high-accuracy.

Common Questions

Is Pangram's 99.98% accuracy claim independently verified?

Not independently — Pangram cites University of Chicago Booth and University of Maryland research, but that's a vendor-cited study, not a replicated third-party result. Treat the figure as a reported claim.

Does Pangram check images?

No — Pangram focuses on AI text detection. Slop or Not checks both text and images in one app, including SynthID, C2PA, and IPTC provenance reads.

How does Pangram's free tier compare to Slop or Not's?

Pangram gives 4 credits a day with no payment method required — about 1,000 words per credit. Slop or Not's free tier has limited daily checks with no per-document word cap in the native app.

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More From Numen

AI can now fake a profile photo or wrap a scam in a link that looks safe to tap. Numen builds the apps that put you back in charge: spot AI-generated text and images with Slop or Not, run the best open-source models uncensored and private with Private LLM, and strip trackers from links and QR codes before they follow you with Clean Links.

One belief runs through all three: your data belongs to you, and no one else.