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AI Detector

Hive Moderation vs Reality Defender: AI Detector (2026)

Hive Moderation is the generalist: image, video, text, and audio detection built for a platform screening everything users upload. Reality Defender narrows to one job for a different audience — a deepfake in a fraud check, an identity verification, or a phone call, built for security teams instead of content moderators.

Hive Moderation and Reality Defender both cover AI-generated image, audio, and video detection via API, but they serve different enterprise contexts. Hive Moderation is a general-purpose moderation platform for trust-and-safety teams managing content at scale. Reality Defender specializes in deepfake detection for security workflows: fraud prevention, identity verification, and communications integrity. Slop or Not offers a private spot check on one image or document on iPhone and Mac on-device, not a bulk pipeline.

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 NotHive ModerationReality Defender
Best fit

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

AI-generated and deepfake content detection for moderation pipelines

Deepfake detection for fraud, identity, calls, meetings, and security workflows

Text detection

Checks writing in the native app and online checker

Documentation describes AI-generated detection for image, video, text, and audio

Homepage references text plus image in enterprise authenticity framing

Image detection

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

Image and video AI-generated detection is listed

RealAPI supports image, audio, and video files

Deepfake detection

Covers deepfake and synthetic-image checks as image detection

Deepfake detection is listed for image, video, and audio workflows

Deepfake detection platform and API for manipulated media

Metadata and provenance signals

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

Not publicly clear

Not publicly clear

Manual forensic tools

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

No

No

Evidence level

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

APIs return confidence scores

Results include manipulation probability scores and explainable indicators

Browser checker

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

Free AI detector Chrome extension is listed

RealScan SaaS web platform supports drag-and-drop analysis

Native Apple app

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

No

No

API workflow

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

AI-generated and deepfake content detection APIs are documented

RealAPI supports SDKs for Python, TypeScript, Go, Rust, and Java

Classroom workflow

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

Not publicly clear

Not publicly clear

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.

Pricing page lists free credits after adding a payment method

Free API access includes 50 audio or image scans per month

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.

Its public privacy policy covers account, billing, and analytics data; it does not specifically describe how content submitted to its detection APIs is collected or retained

RealAPI describes secure media upload and structured JSON results

Main limitation

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

Enterprise/API-first workflow for high volume processing

Security and deepfake workflow, not a student essay detector

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

Sources reviewed

Where Slop or Not Fits

Hive gates its credits behind a payment method, and Reality Defender's free API runs out at 50 scans before a sales call starts. Slop or Not answers one photo or document free, on-device, with no card and no sales conversation in the way.

  • 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.

Hive Moderation

Use it for platform teams that need AI-generated media detection in moderation pipelines.

Reality Defender

Use it for security teams that need deepfake detection in fraud, access, and communications workflows.

Related Comparisons

Keep comparing adjacent tools before you pick a workflow.

Privacy tools from the same team

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.