Slop Or Not

Slop or Not is a private AI detection tool for checking English text and images for signs of AI generation. It is designed for people who want a quick assessment without creating an account or sending sensitive material to a cloud service. The tool works in a browser and also offers iPhone, iPad, and Mac apps with on-device detection.

It checks longer passages, essays, photos, and screenshots for indicators of machine-generated content. Alongside its AI detection results, Slop or Not provides readability scores and text cleanup tools, giving users additional context when reviewing potentially AI-generated material.

Key Features

On-Device AI Detection

The iPhone and Mac apps perform detection locally on Apple silicon.

On-device processing helps keep the material being analyzed on the device rather than requiring it to be sent to a remote service for processing.

Private Text & Image Checks

Slop or Not is designed around private use.

The service does not require a login, and processed text and photos are deleted. This makes it suitable for users who want to check potentially sensitive material without maintaining an online account.

English Text Detection

The text detector is designed for English passages, including longer pieces of writing.

It can be used to assess:

• Essays
• Articles
• Paragraphs
• Screenshots containing text
• Other longer English passages

There is no monthly word cap for text detection.

AI Image Detection

Slop or Not can analyze images for signals associated with AI generation.

Image checks look for:

• AI model artifacts
• Generated-image signals
• Supported watermarks

This provides a separate detection workflow for photos and other visual content.

SynthID Watermark Detection

The tool can read SynthID watermarks from Google and OpenAI images.

This can help identify some AI-generated images even when the image has subsequently been:

• Screenshotted
• Re-encoded
• Processed into another file

Watermark detection complements the broader image analysis rather than relying on visual artifacts alone.

Readability Scores

Slop or Not also calculates estimated readability scores on-device.

Readability results are available across several languages and provide an additional perspective on how difficult a passage may be to read alongside the AI detection result.

Text Cleanup

The platform includes a text cleanup tool that removes hidden characters without rewriting the underlying text.

This can be useful when preparing copied text that contains invisible or unexpected characters while preserving the actual wording.

Slop Score

Each check includes a slop score that summarizes the tool's assessment of potential machine-generated content.

This gives users a quick result while still allowing them to review the underlying detection context.

Mac CLI & MCP Support

Pro users can access Mac command-line and MCP functionality.

This makes the detection workflow available beyond the standard interface for users who want to incorporate checks into local development or AI-assisted workflows.

Cross-Platform Access

Slop or Not is available across several environments:

• Web browser
• iPhone
• iPad
• Mac

This allows users to check content from a desktop or mobile device depending on where the material is being reviewed.

Built For Teachers, Journalists & Moderators

Slop or Not is designed for people who need quick AI-content checks while keeping the material they review private.

It is particularly useful for:

• Teachers reviewing essays and student submissions
• Journalists checking potentially machine-generated material
• Moderators reviewing text and images
• Editors assessing written content
• Researchers checking passages and visual material
• Individuals who want to understand whether content looks AI-generated

Common Use Cases

• Essay checking: Assess longer English essays for signs of AI generation.
• Text verification: Quickly review paragraphs or articles without creating an account.
• Image checking: Analyze photos and visual content for AI-generation signals.
• Screenshot analysis: Check screenshots containing text or generated imagery.
• Watermark detection: Look for supported SynthID signals from Google and OpenAI images.
• Private content review: Analyze material without maintaining a cloud account.
• Readability analysis: See estimated reading difficulty alongside an AI detection result.
• Text cleanup: Remove hidden characters without changing the actual text.
• Moderation workflows: Quickly assess user-submitted text and images.
• Local automation: Use Mac CLI or MCP capabilities through the Pro offering.

Why It Matters

AI-generated text and images are increasingly difficult to distinguish from human-created material, while many of the things people want to check can be sensitive. Sending essays, unpublished writing, journalistic material, or private images to a cloud-based detection service may not always be desirable.

Slop or Not takes a privacy-focused approach by offering local processing on Apple devices, no-login access, and deletion of processed material. This gives users a way to perform quick checks without building their workflow around a persistent cloud account.

The tool also goes beyond a single AI-generated or not-generated verdict. Its slop score, readability measurements, image artifact analysis, and supported SynthID watermark detection provide different signals that can help users evaluate content more carefully.

For longer writing, the lack of a monthly word cap makes the text detector suitable for full essays and other substantial passages. For technical users, Mac CLI and MCP support provide additional ways to incorporate detection into local workflows.

Check Text & Images Privately With Slop or Not

Check English text, photos, and screenshots for signs of AI generation without creating an account. With on-device processing, image artifact detection, SynthID watermark support, readability scores, text cleanup, and Mac CLI and MCP tools for Pro users, Slop or Not provides a quick and privacy-focused way to assess potentially machine-generated content.