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Slop Meter

slop-meter.com
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Item media 1 (screenshot) for Slop Meter
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Overview

Marks each paragraph human-ish, machine-ish or mixed, with the odds. Scoring runs on your device.

Slop Meter marks each paragraph on the page as human-ish, machine-ish, mixed or can't tell, and shows the odds behind the mark. How it works - A small model (56 KB) runs on your device. Text is scored locally and nothing you read is uploaded. - Most paragraphs get "can't tell". It only speaks when it is sure: it is right on 97% of its calls and flags about 1 in 1,000 paragraphs written by people. - Click a mark to see which writing habits drove it. Each one links to a rulebook of 38 tells, with an example and a fix. - Select any text and choose "Score with Slop Meter", or paste text into the popup. - Per-site switches. It stays off on mail, documents and banking. Sharper reading (optional) Turn it on and a small open language model (SmolLM2, about 120 MB, downloaded once) reads each paragraph on your device using WebGPU. It gives a verdict about twice as often. Opt-in only - Rewrite sends the one paragraph you choose to slop-meter.com and returns a plainer version. - Shared corrections send numbers about a paragraph and your label, never the text. Open source under AGPL-3.0: github.com/zaidmukaddam/slop-meter

Details

  • Version
    1.0.0
  • Updated
    September 23, 2026
  • Size
    7.17MiB
  • Languages
    English
  • Developer
    Website
    Email
    zaidaltafmukaddam@gmail.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

Manage extensions and learn how they're being used in your organization

Slop Meter has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.

Slop Meter handles the following:

Website content

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

Support

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