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URL: https://apify.com/greip/profanity-detection

⇱ Profanity Detection · Apify

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Profanity Detection

Under maintenance

Pricing

from $0.10 / 1,000 requests

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Profanity Detection

Under maintenance

Analyze text content for profanity, offensive language, and inappropriate content with Machine Learning. Detects harmful language, provides risk scoring, and helps maintain safe user environments by filtering inappropriate content.

Pricing

from $0.10 / 1,000 requests

Rating

0.0

(0)

Developer

👁 Greip

Greip

Maintained by Community

Actor stats

0

Bookmarked

5

Total users

0

Monthly active users

5 months ago

Last modified

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Greip's Profanity Detection

A robust Apify Actor that detects offensive and inappropriate language in text using the Greip Profanity Detection API. This tool helps safeguard your website or app by screening user inputs for profanity and other harmful content, maintaining a positive user environment and protecting your brand.

🚀 Features

  • ML-Powered Detection: Advanced Machine Learning algorithms to analyze text content
  • Risk Scoring: Numerical risk scores from 0-3 (0=safe, 1=high-risk, 2=medium-risk, 3=low-risk)
  • Bad Words Identification: Detailed list of detected profane words when ML detection is used
  • Real-time Analysis: Fast processing with execution time tracking
  • Structured Output: Clean, well-formatted JSON results stored in datasets

Input Parameters

ParameterTypeRequiredDescription
textstring✅Text content to analyze for profanity
userIDstring❌Optional user identifier for tracking

Output Format

The Actor outputs detailed analysis information for each text input:

{
"text":"This is a sample text to analyze",
"isSafe":true,
"riskScore":0,
"totalBadWords":0,
"isML":true,
"badWords":[],
"timestamp":"2026-01-14T10:30:00.000Z"
}

Output Field Descriptions

Profanity Analysis Fields:

  • text: The original text that was analyzed
  • isSafe: Boolean indicating whether the text is safe (true) or contains profanity (false)
  • riskScore: Risk assessment score:
    • 0 = Completely safe text
    • 1 = High-risk text (most dangerous profanity)
    • 2 = Medium-risk text (moderate profanity)
    • 3 = Low-risk text (mild profanity)
  • totalBadWords: Total number of profane words detected (only available when isML is true)
  • isML: Boolean indicating whether Machine Learning detection was used
  • badWords: Array of detected profane words (only populated when ML detection finds issues)
  • timestamp: ISO 8601 timestamp when the analysis was processed

Use Cases

  • Content Moderation: Screen user comments, posts, and messages before publication
  • User Registration: Detect offensive usernames during account creation
  • Chat Systems: Real-time filtering of chat messages and communication
  • Review Systems: Moderate product reviews and feedback
  • Social Media: Monitor user-generated content for community guidelines compliance

Your feedback

We're always working on improving the performance of our Actors. If you have any technical feedback for the profanity detection actor or found a bug, please create an issue in the Issues tab.

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