C# で PDF を作成する方法 — IronPDF 完全チュートリアル

using IronPdf;

PdfDocument pdf = new PdfDocument(270, 270);

pdf.SaveAs("blankPage.pdf");

Imports IronPdf

Dim pdf As New PdfDocument(270, 270)

pdf.SaveAs("blankPage.pdf")

using IronPdf;

// Create text header
TextHeaderFooter textHeader = new TextHeaderFooter()
{
    CenterText = "{page} of {total-pages}"
};

// Create html footer
HtmlHeaderFooter htmlFooter = new HtmlHeaderFooter()
{
    HtmlFragment = "<center><i>{page} of {total-pages}<i></center>"
};

// Render a new PDF
ChromePdfRenderer renderer = new ChromePdfRenderer();
PdfDocument pdf = renderer.RenderHtmlAsPdf("<h1>Hello World!</h1>");

// Add header and footer
pdf.AddTextHeaders(textHeader);
pdf.AddHtmlFooters(htmlFooter);

pdf.SaveAs("pdfWithPageNumber.pdf");

Imports IronPdf

' Create text header
Private textHeader As New TextHeaderFooter() With {.CenterText = "{page} of {total-pages}"}

' Create html footer
Private htmlFooter As New HtmlHeaderFooter() With {.HtmlFragment = "<center><i>{page} of {total-pages}<i></center>"}

' Render a new PDF
Private renderer As New ChromePdfRenderer()
Private pdf As PdfDocument = renderer.RenderHtmlAsPdf("<h1>Hello World!</h1>")

' Add header and footer
pdf.AddTextHeaders(textHeader)
pdf.AddHtmlFooters(htmlFooter)

pdf.SaveAs("pdfWithPageNumber.pdf")

using IronPdf;
using System;

// Read byte from image file
var pngBinaryData = System.IO.File.ReadAllBytes("My_image.png");

// Convert bytes to base64
var ImgDataURI = @"data:image/png;base64," + Convert.ToBase64String(pngBinaryData);

// Import base64 to img tag
var ImgHtml = $"<img src='{ImgDataURI}'>";

ChromePdfRenderer Renderer = new ChromePdfRenderer();

// Render the HTML string
var pdf = Renderer.RenderHtmlAsPdf(ImgHtml);

pdf.SaveAs("datauri_example.pdf");

Imports IronPdf
Imports System

' Read byte from image file
Private pngBinaryData = System.IO.File.ReadAllBytes("My_image.png")

' Convert bytes to base64
Private ImgDataURI = "data:image/png;base64," & Convert.ToBase64String(pngBinaryData)

' Import base64 to img tag
Private ImgHtml = $"<img src='{ImgDataURI}'>"

Private Renderer As New ChromePdfRenderer()

' Render the HTML string
Private pdf = Renderer.RenderHtmlAsPdf(ImgHtml)

pdf.SaveAs("datauri_example.pdf")

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)

using IronPdf;

// Create a PdfDocument object or open any PDF File
PdfDocument pdf = PdfDocument.FromFile("wikipedia.pdf");

// Use the SaveAsPdfA method to save to file
pdf.SaveAsPdfA("pdf-a3-wikipedia.pdf", PdfAVersions.PdfA3b);

Imports IronPdf

' Create a PdfDocument object or open any PDF File
Private pdf As PdfDocument = PdfDocument.FromFile("wikipedia.pdf")

' Use the SaveAsPdfA method to save to file
pdf.SaveAsPdfA("pdf-a3-wikipedia.pdf", PdfAVersions.PdfA3b)

using IronPdf;

// Open PDF File
PdfDocument pdf = PdfDocument.FromFile("wikipedia.pdf");

// Export as PDF/UA compliance PDF
pdf.SaveAsPdfUA("pdf-ua-wikipedia.pdf");

Imports IronPdf

' Open PDF File
Dim pdf As PdfDocument = PdfDocument.FromFile("wikipedia.pdf")

' Export as PDF/UA compliance PDF
pdf.SaveAsPdfUA("pdf-ua-wikipedia.pdf")