Content Factory — AI Content Transformation Engine

Give it any text. Get back a report, quiz, flashcard deck, podcast script, slide outline, mind map, or audio — in one API call.

No OpenAI API key. No external service. Powered by local AI running on dedicated hardware. Zero per-token cost.

Use Cases

• EdTech platforms — Auto-generate quiz questions and flashcards from course material
• Content teams — Convert blog drafts into podcast scripts or slide decks
• E-learning — Create Q&A pairs and study materials from textbooks or docs
• Internal tools — Generate structured reports from meeting notes or research
• AI workflows — Plug into Apify pipelines for multi-step content transformation

Tools at a Glance

Tool	Output	Price
qa_generate	Q&A pairs from text	$0.15
report	Structured report with sections	$0.12
quiz	Multiple-choice questions	$0.15
flashcards	Front/back flashcard deck	$0.15
mindmap	Hierarchical mind map JSON	$0.08
data_table	Structured data table	$0.15
slide_deck	Slide-by-slide outline	$0.20
podcast_script	Host/guest dialogue script	$0.18
tts_generate	Audio file (MP3) from text	$0.05

Installation

$npm install

Usage

Via Apify API

const run = await Apify.call('ntriqpro/content-factory', {
  toolName: 'qa_generate',
  input: { text: 'Your text here', language: 'en' }
});
  }
}

Tool Reference

1. QA Generate

Generate question-answer pairs from text.

{
  "toolName": "qa_generate",
  "input": {
    "text": "Machine learning is a subset of AI...",
    "language": "en"  // optional, default: "en"
  }
}

Response:

{
  "status": "ok",
  "model": "qwen2.5-7b",
  "qa_pairs": [
    { "question": "What is machine learning?", "answer": "..." },
    { "question": "How does ML differ from AI?", "answer": "..." }
  ],
  "processing_time_ms": 2345
}

2. Report

Generate formatted reports in three styles: blog, briefing, or study guide.

{
  "toolName": "report",
  "input": {
    "text": "Python is a programming language...",
    "style": "blog",  // "blog" | "briefing" | "study_guide"
    "language": "en"  // optional, default: "en"
  }
}

Response:

{
  "status": "ok",
  "model": "qwen2.5-7b",
  "report": "# Python Programming\n\n## Introduction\n...",
  "style": "blog",
  "processing_time_ms": 3456
}

3. Quiz

Generate quiz questions with multiple choice options.

{
  "toolName": "quiz",
  "input": {
    "text": "The solar system consists of...",
    "language": "en"  // optional, default: "en"
  }
}

Response:

{
  "status": "ok",
  "model": "qwen2.5-7b",
  "quiz_questions": [
    {
      "question": "How many planets are in our solar system?",
      "options": ["8", "9", "10", "7"],
      "correct_answer": "8"
    }
  ],
  "processing_time_ms": 2100
}

4. Flashcards

Generate flashcard decks for learning.

{
  "toolName": "flashcards",
  "input": {
    "text": "Photosynthesis is the process...",
    "language": "en"  // optional, default: "en"
  }
}

Response:

{
  "status": "ok",
  "model": "qwen2.5-7b",
  "flashcards": [
    {
      "front": "What is photosynthesis?",
      "back": "The process by which plants convert light energy..."
    }
  ],
  "processing_time_ms": 1987
}

5. Mindmap

Generate Mermaid mind map diagrams.

{
  "toolName": "mindmap",
  "input": {
    "text": "Web development involves frontend and backend...",
    "language": "en"  // optional, default: "en"
  }
}

Response:

{
  "status": "ok",
  "model": "qwen2.5-7b",
  "mindmap": "mindmap\n  root((Web Development))\n    Frontend\n      HTML\n      CSS\n      JavaScript",
  "format": "mermaid",
  "processing_time_ms": 1876
}

6. Data Table

Extract structured data into tables.

{
  "toolName": "data_table",
  "input": {
    "text": "Japan: Capital Tokyo, Population 125M. Korea: Capital Seoul, Population 50M.",
    "language": "en"  // optional, default: "en"
  }
}

Response:

{
  "status": "ok",
  "model": "qwen2.5-7b",
  "data_table": {
    "columns": ["Country", "Capital", "Population"],
    "rows": [
      ["Japan", "Tokyo", "125M"],
      ["Korea", "Seoul", "50M"]
    ]
  },
  "processing_time_ms": 1654
}

7. Slide Deck

Generate presentation slide decks.

{
  "toolName": "slide_deck",
  "input": {
    "text": "Digital transformation has three phases...",
    "language": "en"  // optional, default: "en"
  }
}

Response:

{
  "status": "ok",
  "model": "qwen2.5-7b",
  "slides": [
    {
      "slide_number": 1,
      "title": "Digital Transformation",
      "content": "An overview of modern business...",
      "notes": "Speaker notes..."
    }
  ],
  "processing_time_ms": 3210
}

8. Podcast Script

Generate conversational podcast scripts.

{
  "toolName": "podcast_script",
  "input": {
    "text": "Artificial intelligence is changing...",
    "language": "en"  // optional, default: "en"
  }
}

Response:

{
  "status": "ok",
  "model": "qwen2.5-7b",
  "script": "[Host]: Welcome to the AI podcast...\n[Guest]: Thanks for having me...",
  "format": "conversational",
  "processing_time_ms": 4123
}

9. TTS Generate

Generate natural speech audio from text.

{
  "toolName": "tts_generate",
  "input": {
    "text": "Hello, this is a test message.",
    "voice": "af_heart",  // optional, default: "af_heart"
    "speed": 1.0  // optional, 0.5-2.0, default: 1.0
  }
}

Response:

{
  "status": "ok",
  "model": "kokoro",
  "audio_url": "https://vision.ntriq.co.kr/audio/...",
  "voice": "af_heart",
  "speed": 1.0,
  "duration_seconds": 3.2,
  "processing_time_ms": 2456
}

Pricing

Optimized based on cloud performance testing. Processing times range from 263ms (TTS) to 54s (Slide Deck).

Tool	Price	Processing Time
tts_generate	$0.05	~260ms
mindmap	$0.08	~17s
report	$0.12	~28s
qa_generate	$0.15	~36s
quiz	$0.15	~36s
flashcards	$0.15	~36s
data_table	$0.15	~36s
podcast_script	$0.18	~53s
slide_deck	$0.20	~54s

Environment Variables

$NTRIQ_AI_URL=https://vision.ntriq.co.kr  # default: https://vision.ntriq.co.kr

Development

# Run tests
npm test

# Lint
npm run lint

License

MIT

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