AI Text Summarize Assistant

An Apify actor that processes text documents using AI for analysis and summarization. It's designed for tasks like news article analysis, customer feedback processing, and document understanding.

Key Features

• Text Summarization: Generates both extractive (key sentences) and abstractive (paraphrased) summaries
• Question & Answer: Answers specific questions based on the provided text
• Sentiment Analysis: Detects positive, negative, neutral, or mixed sentiment with confidence scores
• Entity Recognition: Identifies people, organizations, locations, and other named entities
• PII Redaction: Finds and redacts sensitive personal information (GDPR/HIPAA compliance)
• Key Phrase Extraction: Pulls out important terms and topics from text
• Conversation Summarization: Condenses dialogue or chat transcripts

How to Use

Input Requirements

• text document: Your input text (max 5120 characters)
• feature: Which analysis feature to run (see list above)
• truncate: Set to True if your document exceeds 5120 characters (will truncate automatically)

Basic Usage

1. Provide your text in the text document field
2. Select the desired feature from the available options
3. Set truncate to True if your text exceeds the character limit
4. Run the actor to get structured JSON output

Input/Output Examples

Text Summarization Output

{
  "extractive_summary": [
    "First key sentence from original text.",
    "Second key sentence from original text."
  ],
  "abstractive_summary": [
    "A coherent paragraph summarizing the entire document."
  ]
}

Sentiment Analysis Output

{
  "sentiment": "mixed",
  "confidence_scores": {
    "positive": 0.5,
    "neutral": 0,
    "negative": 0.5
  },
  "sentences": [
    {
      "text": "Sample sentence here.",
      "sentiment": "positive",
      "confidence_scores": {
        "positive": 0.99,
        "neutral": 0.01,
        "negative": 0
      }
    }
  ]
}

Key Phrases Output

{
  "key_phrases": [
    "important term",
    "main topic",
    "key concept"
  ]
}

Entity Recognition Output

{
  "text": "Entity Name",
  "category": "Person",
  "sub_category": null,
  "confidence_score": 0.95
}

Notes

• Maximum input text length is 5120 characters
• Use the truncate option for longer documents
• All outputs are in structured JSON format
• Each feature runs independently - select one per execution

Find this actor on Apify: https://apify.com/your-actor-url?fpr=python_automation