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How to use OpenAI for PDF

Curtis Chau
Curtis Chau
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OpenAI is an artificial intelligence research laboratory, consisting of the for-profit OpenAI LP and its non-profit parent company, OpenAI Inc. It was founded with the goal of advancing digital intelligence in a way that benefits humanity as a whole. OpenAI conducts research in various areas of artificial intelligence (AI) and aims to develop AI technologies that are safe, beneficial, and accessible.

The IronPdf.Extensions.AI NuGet package now enables OpenAI for PDF enhancement: summarization, querying, and memorization. The package utilizes Microsoft Semantic Kernel.

Quickstart: Summarize PDFs with IronPDF and OpenAI

Get started with integrating OpenAI into your PDF processing workflow using IronPDF in C#. This simple example shows how to quickly generate a summary of a PDF document. With just a few lines of code, you can leverage AI to enhance your PDF capabilities effortlessly.

Nuget IconGet started making PDFs with NuGet now:

  1. Install IronPDF with NuGet Package Manager

    PM > Install-Package IronPdf

  2. Copy and run this code snippet.

    // Install-Package IronPdf.Extensions.AI
await IronPdf.AI.PdfAIEngine.Summarize("input.pdf", "summary.txt", azureEndpoint, azureApiKey);

  3. Deploy to test on your live environment

    Start using IronPDF in your project today with a free trial
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Minimal Workflow (5 steps)

  1. Download the C# library to utilize OpenAI for PDF
  2. Prepare the Azure Endpoint and API Key for OpenAI
  3. Import the target PDF document
  4. Use the Summarize method to generate a summary of the PDF
  5. Use the Query method for continuous querying


Besides the IronPdf package, you will also need the following two packages:

Summarize PDF Example

To use the OpenAI feature, an Azure Endpoint, and an API Key are needed. Configure the Semantic Kernel according to the code example below. Import the PDF document and utilize the Summarize method to generate a summary of the PDF document. You can download the sample PDF file from the OpenAI for PDF Summarization Example.

Por favor nota Note: You may encounter the SKEXP0001, SKEXP0010, and SKEXP0050 errors because the Semantic Kernel methods are experimental. Add the following code to your .csproj file to suppress these errors:

<Project Sdk="Microsoft.NET.Sdk">
  <PropertyGroup>
    <NoWarn>$(NoWarn);SKEXP0001,SKEXP0010,SKEXP0050</NoWarn>
  </PropertyGroup>
</Project>
<Project Sdk="Microsoft.NET.Sdk">
  <PropertyGroup>
    <NoWarn>$(NoWarn);SKEXP0001,SKEXP0010,SKEXP0050</NoWarn>
  </PropertyGroup>
</Project>
XML

Here is an example of how you can summarize a PDF using the Semantic Kernel in C#:

:path=/static-assets/pdf/content-code-examples/how-to/openai-summarize.cs
using IronPdf;
using IronPdf.AI;
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Connectors.OpenAI;
using Microsoft.SemanticKernel.Memory;
using System;
using System.Threading.Tasks;

// Setup OpenAI
var azureEndpoint = "<<enter your azure endpoint here>>";
var apiKey = "<<enter your azure API key here>>";
var builder = Kernel.CreateBuilder()
    .AddAzureOpenAITextEmbeddingGeneration("oaiembed", azureEndpoint, apiKey)
    .AddAzureOpenAIChatCompletion("oaichat", azureEndpoint, apiKey);
var kernel = builder.Build();

// Setup Memory
var memory_builder = new MemoryBuilder()
    // optionally use new ChromaMemoryStore("http://127.0.0.1:8000") (see https://github.com/microsoft/semantic-kernel/blob/main/dotnet/notebooks/09-memory-with-chroma.ipynb)
    .WithMemoryStore(new VolatileMemoryStore())
    .WithAzureOpenAITextEmbeddingGeneration("oaiembed", azureEndpoint, apiKey);
var memory = memory_builder.Build();

// Initialize IronAI
IronDocumentAI.Initialize(kernel, memory);

License.LicenseKey = "<<enter your IronPdf license key here";

// Import PDF document
PdfDocument pdf = PdfDocument.FromFile("wikipedia.pdf");

// Summarize the document
Console.WriteLine("Please wait while I summarize the document...");
string summary = await pdf.Summarize(); // optionally pass AI instance or use AI instance directly
Console.WriteLine($"Document summary: {summary}\n\n");
Imports Microsoft.VisualBasic
Imports IronPdf
Imports IronPdf.AI
Imports Microsoft.SemanticKernel
Imports Microsoft.SemanticKernel.Connectors.OpenAI
Imports Microsoft.SemanticKernel.Memory
Imports System
Imports System.Threading.Tasks

' Setup OpenAI
Private azureEndpoint = "<<enter your azure endpoint here>>"
Private apiKey = "<<enter your azure API key here>>"
Private builder = Kernel.CreateBuilder().AddAzureOpenAITextEmbeddingGeneration("oaiembed", azureEndpoint, apiKey).AddAzureOpenAIChatCompletion("oaichat", azureEndpoint, apiKey)
Private kernel = builder.Build()

' Setup Memory
Private memory_builder = (New MemoryBuilder()).WithMemoryStore(New VolatileMemoryStore()).WithAzureOpenAITextEmbeddingGeneration("oaiembed", azureEndpoint, apiKey)
Private memory = memory_builder.Build()

' Initialize IronAI
IronDocumentAI.Initialize(kernel, memory)

License.LicenseKey = "<<enter your IronPdf license key here"

' Import PDF document
Dim pdf As PdfDocument = PdfDocument.FromFile("wikipedia.pdf")

' Summarize the document
Console.WriteLine("Please wait while I summarize the document...")
Dim summary As String = Await pdf.Summarize() ' optionally pass AI instance or use AI instance directly
Console.WriteLine($"Document summary: {summary}" & vbLf & vbLf)
$vbLabelText   $csharpLabel

Output Summary

Summarize PDF document

Continuous Query Example

A single query may not be suitable for all scenarios. The IronPdf.Extensions.AI package also offers a Query method that allows users to perform continuous queries.

:path=/static-assets/pdf/content-code-examples/how-to/openai-query.cs
using IronPdf;
using IronPdf.AI;
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Connectors.OpenAI;
using Microsoft.SemanticKernel.Memory;
using System;
using System.Threading.Tasks;

// Setup OpenAI
var azureEndpoint = "<<enter your azure endpoint here>>";
var apiKey = "<<enter your azure API key here>>";
var builder = Kernel.CreateBuilder()
    .AddAzureOpenAITextEmbeddingGeneration("oaiembed", azureEndpoint, apiKey)
    .AddAzureOpenAIChatCompletion("oaichat", azureEndpoint, apiKey);
var kernel = builder.Build();

// Setup Memory
var memory_builder = new MemoryBuilder()
    // optionally use new ChromaMemoryStore("http://127.0.0.1:8000") (see https://github.com/microsoft/semantic-kernel/blob/main/dotnet/notebooks/09-memory-with-chroma.ipynb)
    .WithMemoryStore(new VolatileMemoryStore())
    .WithAzureOpenAITextEmbeddingGeneration("oaiembed", azureEndpoint, apiKey);
var memory = memory_builder.Build();

// Initialize IronAI
IronDocumentAI.Initialize(kernel, memory);

License.LicenseKey = "<<enter your IronPdf license key here";

// Import PDF document
PdfDocument pdf = PdfDocument.FromFile("wikipedia.pdf");

// Continuous query
while (true)
{
    Console.Write("User Input: ");
    var response = await pdf.Query(Console.ReadLine());
    Console.WriteLine($"\n{response}");
}
Imports Microsoft.VisualBasic
Imports IronPdf
Imports IronPdf.AI
Imports Microsoft.SemanticKernel
Imports Microsoft.SemanticKernel.Connectors.OpenAI
Imports Microsoft.SemanticKernel.Memory
Imports System
Imports System.Threading.Tasks

' Setup OpenAI
Private azureEndpoint = "<<enter your azure endpoint here>>"
Private apiKey = "<<enter your azure API key here>>"
Private builder = Kernel.CreateBuilder().AddAzureOpenAITextEmbeddingGeneration("oaiembed", azureEndpoint, apiKey).AddAzureOpenAIChatCompletion("oaichat", azureEndpoint, apiKey)
Private kernel = builder.Build()

' Setup Memory
Private memory_builder = (New MemoryBuilder()).WithMemoryStore(New VolatileMemoryStore()).WithAzureOpenAITextEmbeddingGeneration("oaiembed", azureEndpoint, apiKey)
Private memory = memory_builder.Build()

' Initialize IronAI
IronDocumentAI.Initialize(kernel, memory)

License.LicenseKey = "<<enter your IronPdf license key here"

' Import PDF document
Dim pdf As PdfDocument = PdfDocument.FromFile("wikipedia.pdf")

' Continuous query
Do
	Console.Write("User Input: ")
	Dim response = Await pdf.Query(Console.ReadLine())
	Console.WriteLine($vbLf & "{response}")
Loop
$vbLabelText   $csharpLabel

Preguntas Frecuentes

¿Cómo puedo usar OpenAI para mejorar documentos PDF en C#?

Para mejorar documentos PDF en C#, puede usar el paquete NuGet `IronPdf.Extensions.AI`, que permite funcionalidades como resumen y consulta con la ayuda de OpenAI. Esto implica usar un punto de conexión de Azure y una clave de API para la integración de OpenAI.

¿Qué se requiere para integrar OpenAI con el procesamiento de PDF en C#?

Para integrar OpenAI con el procesamiento de PDF en C#, necesita los paquetes `IronPdf` y `IronPdf.Extensions.AI`, Microsoft Semantic Kernel, un punto de conexión de Azure y una clave de API.

¿Cómo resumo un documento PDF usando OpenAI en C#?

Puede resumir un documento PDF usando el método `Summarize` del paquete `IronPdf.Extensions.AI`. Importe su documento PDF y aplique este método proporcionando su punto de conexión de Azure y clave de API.

¿Puedo realizar consultas continuas en un PDF usando IA en C#?

Sí, puede realizar consultas continuas en un PDF usando el método `Query` del paquete `IronPdf.Extensions.AI`, que permite la extracción dinámica de información de documentos PDF.

¿Cómo suprimo las advertencias de error experimentales en mi proyecto C#?

Para suprimir advertencias de errores experimentales como SKEXP0001, SKEXP0010 y SKEXP0050, agregue el siguiente código a su archivo .csproj: <NoWarn>$(NoWarn);SKEXP0001,SKEXP0010,SKEXP0050</NoWarn>.

¿Qué papel desempeña Microsoft Semantic Kernel en la mejora de PDF?

Microsoft Semantic Kernel se utiliza para configurar y ejecutar métodos como `Summarize` y `Query` en documentos PDF, habilitando funcionalidades de OpenAI a través del paquete `IronPdf.Extensions.AI`.

¿Cuáles son los beneficios de usar OpenAI para la resumen de PDF?

Usar OpenAI para la resumen de PDF proporciona resúmenes concisos de documentos extensos, facilitando la extracción rápida de información clave. Esto se logra usando el método `Summarize` del paquete `IronPdf.Extensions.AI`.

¿IronPDF es compatible con .NET 10 cuando se utilizan extensiones OpenAI?

Sí. IronPDF es totalmente compatible con .NET 10, y el paquete `IronPdf.Extensions.AI` funciona en proyectos .NET 10 sin necesidad de una configuración especial. La biblioteca es compatible con las últimas mejoras de tiempo de ejecución y las características del lenguaje introducidas en .NET 10.

Curtis Chau
Curtis Chau
  Chatea con el equipo de ingeniería ahora
Escritor Técnico

Curtis Chau tiene una licenciatura en Ciencias de la Computación (Carleton University) y se especializa en el desarrollo front-end con experiencia en Node.js, TypeScript, JavaScript y React. Apasionado por crear interfaces de usuario intuitivas y estéticamente agradables, disfruta trabajando con frameworks modernos y creando manuales bien ...

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