humanize-ai-text

Purpose

When to Use

Key Capabilities

• Reduces AI-specific patterns like repetitive structures or unnatural vocabulary by applying natural language processing techniques.
• Adjusts tone (e.g., formal to casual) based on user-specified parameters, using predefined models for styles like conversational or professional.
• Handles text lengths up to 10,000 characters, preserving original meaning while enhancing readability and engagement.
• Integrates sentiment analysis to ensure the output aligns with desired emotional tones, such as positive or neutral.

Usage Patterns

Common Commands/API

$OPENCLAW_API_KEY

• CLI Command Example:
  

  openclaw humanize --input "The quick brown fox jumps over the lazy dog." --tone casual --output output.txt

  
  This rewrites the input with a casual tone and saves to a file.
• API Endpoint Example:
  POST to

  https://api.openclaw.ai/v1/humanize

  with JSON body:
  

  { "text": "AI-generated content here.", "tone": "formal" }

  
  Response: JSON object with "humanized_text" key.
• Code Snippet (Python):
  python

  import requests
  headers = {'Authorization': f'Bearer {os.environ.get("OPENCLAW_API_KEY")}'}
  response = requests.post('https://api.openclaw.ai/v1/humanize', json={'text': 'Sample AI text.'}, headers=headers)
  print(response.json()['humanized_text'])

• Config Format:
  Use a YAML config file for repeated tasks:

  input_file: input.txt
  tone: neutral
  output_file: output.txt

  Invoke with:

  openclaw humanize --config config.yaml

Integration Notes

$OPENCLAW_API_KEY

Error Handling

$OPENCLAW_API_KEY

--help

import time
time.sleep(5)  # Wait before retrying

Graph Relationships

• Related to: "ai-writing" skill in the community cluster via shared tags ["ai", "writing"].
• Connected to: "text-analysis" skill for preprocessing text inputs.
• Linked by: "humanize" tag to "natural-language-tools" cluster for broader NLP capabilities.