OpenAI API

Overview

OpenAI API provides access to state-of-the-art language and image models for a wide range of applications.
Building advanced AI systems from scratch is complex, requiring expertise and computational resources. OpenAI API solves this by offering ready-to-use models for immediate integration.

🚀 Key Features

• ✨ Access to Cutting-Edge Models - Includes GPT-4, DALL·E, and other state-of-the-art AI models.

• 📝 Text & Image Generation - Supports content creation, embeddings, and conversational AI.

• 🔗 Simple REST Interface - Easy integration into applications and workflows.

• ⚙️ Scalable & Reliable - Designed for production use at scale.

🎯 Use Cases

OpenAI API serves developers, researchers, and businesses seeking reliable AI capabilities for text, image, and conversational tasks.

Common scenarios include:

• 🛠 Generating marketing copy and content
• 🎨 Creating illustrations or image assets
• 💬 Powering chatbots and virtual assistants

⚙️ How It Works

The OpenAI API exposes models like GPT-4 and DALL·E through a simple REST interface, enabling:

• Text generation
• Chat and conversational AI
• Embeddings
• Image creation

It is often integrated with frameworks such as LangChain for workflow management and FastAPI for building interactive AI endpoints.

📄 Example: Excel/PDF/Image Content Summarization

🔗 Tool documentation: GitHub Repository

This tool provides a unified command-line interface to extract and summarize content from unstructured data sources and files such as PDFs, images, spreadsheets, and CSVs. It is especially useful for managing content overload, transforming large volumes of raw data into clear, concise, and actionable insights.

It combines Python utilities with AI models powered by the OpenAI API, which offers access to proprietary generative models developed by OpenAI, helping you quickly turn raw documents into clear, usable insights.

💻 Quick CLI Usage

# Summarize an Excel file
py-ai summarize /path/to/file.xlsx --max-chars 800

# Summarize a PDF file
py-ai summarize /path/to/file.pdf --max-chars 800

# Summarize text extracted from an image
py-ai summarize /path/to/file.png --max-chars 800

🐍 Python Code: Summarize Document Content with OpenAI API

The summarization process aims not only to condense content but also to ensure safe responses that avoid inappropriate or harmful outputs, leveraging the OpenAI API's built-in safety mechanisms.

import os
from dotenv import load_dotenv
from openai import OpenAI

load_dotenv()
client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))

def summarize_text(text: str, max_chars: int = 800, role: str = "assistant") -> str:
    """
    Summarize text using OpenAI API.
    """
    if not text.strip():
        return ""
    prompt = f"Summarize the following text in less than {max_chars} characters:\n\n{text}"
    response = client.responses.create(
        model="gpt-5-nano",
        input=[
            {"role": "system", "content": f"You are a helpful {role} that summarizes text clearly and concisely."},
            {"role": "user", "content": prompt},
        ]
    )
    return response.output_text.strip()