# Ai Content Humanizer (`akash9078/ai-content-humanizer`)

Transform AI-generated text into natural, human-like content with ease. Perfect for creators, marketers, and businesses seeking authentic, engaging, and SEO-friendly content.

- **URL**: https://beta-securitybyobscurity.apify.com/akash9078/ai-content-humanizer.md
- **Developed by:** [Akash Kumar Naik](https://beta-securitybyobscurity.apify.com/akash9078) (community)
- **Categories:** AI, SEO tools, Other
- **Stats:** 7 total users, 7 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

$10.00 / 1,000 results

This Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for dataset items the Actor outputs.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-result

# README

## AI-Content-Humanizer: Transform AI Text into Engaging, Human-Like Content (Powered by GPT-OSS-20B)

### Overview

Tired of robotic, unnatural AI-generated text? The **AI-Content-Humanizer** is a powerful tool designed to transform your AI content into authentic, human-like prose that resonates with readers. Perfect for marketers, writers, and businesses, this solution ensures your content passes the "coffee shop test" – sounding like a knowledgeable human explaining something to a friend.

**Now powered by Groq's lightning-fast GPT-OSS-20B model** for superior performance and natural language generation.

### 🎯 Key Features

- **Natural Language Transformation**: Converts AI-generated text into fluid, human-readable content.
- **GPT-OSS-20B Engine**: Utilizes Groq's advanced GPT-OSS-20B model optimized for content humanization.
- **Lightning-Fast Processing**: Groq's infrastructure delivers results in seconds, not minutes.
- **Preserves Original Meaning**: Ensures the core message and key information of your content remain intact.
- **Enhanced Readability & Engagement**: Improves flow, adds personality, and makes your text more relatable.
- **Batch Processing Capability**: Efficiently humanize multiple pieces of content in a single operation.
- **Detailed Verbose Logging**: Track processing statistics, token usage, and performance metrics.

### 🧠 AI Humanization Model

#### GPT-OSS-20B - Advanced Content Humanization

- **Powered by**: Groq's optimized infrastructure for maximum speed
- **Ideal for**: All content types - technical documentation, creative writing, marketing copy, educational materials
- **Strengths**:
  - Natural conversational tone
  - Maintains technical accuracy
  - Adds human-like personality and warmth
  - Superior context understanding
  - Fast processing times (typically under 2 seconds)

### 🚀 How It Works

1. **Input**: Provide your AI-generated text through the input schema
2. **Processing**: GPT-OSS-20B analyzes and transforms your content using advanced humanization techniques
3. **Output**: Receive polished, human-friendly content with detailed processing statistics

### 📊 Output & Analytics

The actor provides:

- **Humanized Content**: Your transformed, natural-sounding text
- **Processing Statistics**: Token usage, processing time, and content length metrics
- **Quality Metrics**: Comparison between original and humanized versions

### 🔒 Data Security

Your content and API keys are handled with utmost care. Groq API keys are securely managed as environment variables, and detailed logging helps monitor processing without exposing sensitive data.

### ⚡ Performance

- **Average Processing Time**: 1-3 seconds per request
- **Token Efficiency**: Optimized prompt engineering for cost-effective processing
- **Reliability**: Groq's enterprise-grade infrastructure ensures consistent availability

### 🆘 Need Help?

For support or questions, please refer to the Apify documentation or create an issue in the repository.

***

**Note**: This tool requires a valid Groq API key for accessing the GPT-OSS-20B model.

# Actor input Schema

## `content` (type: `string`):

The AI-generated or robotic text content that needs to be humanized

## `model` (type: `string`):

Choose the AI model for humanization based on content type

## `outputFormat` (type: `string`):

Format of the output results

## Actor input object example

```json
{
  "content": "Machine learning algorithms utilize statistical methods to analyze datasets and identify patterns. These computational systems process information through neural networks that simulate human cognitive functions.",
  "model": "gpt-oss-20b",
  "outputFormat": "json"
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "content": "Machine learning algorithms utilize statistical methods to analyze datasets and identify patterns. These computational systems process information through neural networks that simulate human cognitive functions."
};

// Run the Actor and wait for it to finish
const run = await client.actor("akash9078/ai-content-humanizer").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "content": "Machine learning algorithms utilize statistical methods to analyze datasets and identify patterns. These computational systems process information through neural networks that simulate human cognitive functions." }

# Run the Actor and wait for it to finish
run = client.actor("akash9078/ai-content-humanizer").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "content": "Machine learning algorithms utilize statistical methods to analyze datasets and identify patterns. These computational systems process information through neural networks that simulate human cognitive functions."
}' |
apify call akash9078/ai-content-humanizer --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=akash9078/ai-content-humanizer",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Ai Content Humanizer",
        "description": "Transform AI-generated text into natural, human-like content with ease. Perfect for creators, marketers, and businesses seeking authentic, engaging, and SEO-friendly content.",
        "version": "1.1",
        "x-build-id": "lfRHbaQ7NXsTsb2Rf"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/akash9078~ai-content-humanizer/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-akash9078-ai-content-humanizer",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/akash9078~ai-content-humanizer/runs": {
            "post": {
                "operationId": "runs-sync-akash9078-ai-content-humanizer",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/akash9078~ai-content-humanizer/run-sync": {
            "post": {
                "operationId": "run-sync-akash9078-ai-content-humanizer",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "content"
                ],
                "properties": {
                    "content": {
                        "title": "Text to Humanize",
                        "type": "string",
                        "description": "The AI-generated or robotic text content that needs to be humanized"
                    },
                    "model": {
                        "title": "AI Model Selection",
                        "enum": [
                            "gpt-oss-20b"
                        ],
                        "type": "string",
                        "description": "Choose the AI model for humanization based on content type",
                        "default": "gpt-oss-20b"
                    },
                    "outputFormat": {
                        "title": "Output Format",
                        "enum": [
                            "json",
                            "text"
                        ],
                        "type": "string",
                        "description": "Format of the output results",
                        "default": "json"
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
