Nutrient vs. IronPDF: Complete comparison for .NET developers
Table of contents
Both libraries offer HTML-to-PDF conversion with Chrome-based rendering, plus basic PDF manipulation (editing, text extraction, forms, signatures, merge and split, and PDF/A compliance).
Nutrient .NET SDK goes further with built-in OCR (125+ languages), ML-powered data extraction from invoices and forms, 100+ format support, scanner integration, and barcode processing — consolidating what would typically require 3–5 separate libraries.
Pick IronPDF if HTML-to-PDF conversion and basic PDF manipulation cover your needs. Pick Nutrient if you also need OCR, ML-powered data extraction, multi-format support, scanning, or barcodes.
Key differences at a glance
Scope
IronPDF: HTML-to-PDF conversion and basic manipulation
Nutrient: Complete document lifecycle (create, read, modify, extract, convert)
Data extraction
IronPDF: None
Nutrient: Built-in ML-powered extraction for forms, tables, and key-value pairs
Direct feature comparison
| Feature | Nutrient .NET SDK | IronPDF |
|---|---|---|
| PDF generation | ✅ Full support | ✅ Primary focus (HTML-to-PDF) |
| HTML-to-PDF rendering | ✅ Chrome-based rendering with full CSS and media support | ✅ Chrome-based rendering with full CSS and media support |
| PDF editing | ✅ Add and remove content, annotations, stamps, and watermarks | ✅ Headers, footers, and watermarks |
| Text extraction | ✅ Advanced extraction | ✅ Basic text extraction |
| OCR | ✅ Built in, 125+ languages, advanced pre- and post-processing | ⚠️ Via IronOCR (separate product, 125+ languages) |
| Form processing | ✅ Create, fill, and flatten | ✅ Fill and flatten forms |
| Digital signatures | ✅ Certificates and timestamps | ✅ Digital signatures and encryption |
| Document operations | ✅ Merge and split | ✅ Merge and split |
| ML-powered data extraction | ✅ Key-value pairs and tables | ❌ Not supported |
| Format support | ✅ 100+ formats | ❌ PDF only |
| PDF/A compliance | ✅ PDF/A-1 through PDF/A-4 (92.1 percent conformance rate) | ✅ PDF/A-1 through PDF/A-4 (41.1 percent conformance rate) |
| PDF/UA accessibility | ✅ Full compliance, autotagging, and conversion | ✅ Basic support (no autotagging) |
| Barcode generation and reading | ✅ Generate and read 1D and 2D | ❌ Not built in |
| Image preprocessing | ✅ Deskew, denoise, and remove noise, lines, and punch holes | ⚠️ Basic preprocessing via IronOCR (separate product) |
| Document scanning | ✅ TWAIN and WIA scanner support | ❌ Not supported |
| OMR (optical mark recognition) | ✅ Extract checkboxes and bubbles | ❌ Not supported |
| MRZ extraction | ✅ Passports, IDs, visas, and driver’s licenses | ❌ Not supported |
| Hyper-compression | ✅ MRC compression for scanned documents | ❌ Not supported |
| Desktop PDF viewer | ✅ WinForms and WPF viewer with search and bookmarks | ❌ Not applicable |
| Cross-platform | ✅ Windows, Linux, macOS (.NET 6, 7, 8, and Framework 4.6.2) | ✅ Windows, Docker (Linux only) |
| Large document handling | ✅ Optimized for large files | ⚠️ Potential overhead with large or JS-intensive HTML |
| Community | Commercial support with SLA | Commercial support with documentation |
| Licensing | Commercial | Commercial (perpetual and subscription options) |
| Pricing | Contact for quote | Starts around $750 or more (varies by team size and project scope) |
Advanced AI extraction — For LLM-powered natural language extraction and document classification, Nutrient offers the AI Document Processing SDK as a separate product with its own license. This adds advanced capabilities like intelligent invoice processing with ML templates and confidence scores.
Testing document features? Try Nutrient with your actual documents to test OCR, extraction, and format support.
Nutrient vs. IronPDF: Code example comparisons
Compare how IronPDF and Nutrient handle four common PDF workflows: HTML conversion, text extraction, OCR processing, and merging documents.
Example 1 — Generate a PDF from HTML
IronPDF approach
using IronPdf;
// Create a PDF from an HTML string.var renderer = new ChromePdfRenderer();var pdf = renderer.RenderHtmlAsPdf("<h1>Hello World</h1><p>This is a PDF document.</p>");
// Save the PDF to a file.pdf.SaveAs("output.pdf");
// Or render from a URL.var urlPdf = renderer.RenderUrlAsPdf("https://example.com");urlPdf.SaveAs("webpage.pdf");IronPDF renders HTML to PDF using its Chrome-based engine. The renderer handles CSS, JavaScript, and responsive layouts.
Nutrient .NET SDK approach (HTML-to-PDF)
using GdPictureDocumentConverter gdpictureDocumentConverter = new GdPictureDocumentConverter();
// Option 1: Convert from HTML file.gdpictureDocumentConverter.LoadFromFile(@"C:\temp\source.html", GdPicture14.DocumentFormat.DocumentFormatHTML);gdpictureDocumentConverter.SaveAsPDF(@"C:\temp\output.pdf");
// Option 2: Convert from URL with Chrome rendering.GdPictureDocumentUtilities.SetWebBrowserPath(@"C:\Program Files\Google\Chrome\Application\chrome.exe");gdpictureDocumentConverter.LoadFromHttp(new Uri("https://www.nutrient.io/"), GdPicture14.DocumentFormat.DocumentFormatHTML);gdpictureDocumentConverter.SaveAsPDF(@"C:\temp\webpage.pdf");Nutrient’s GdPictureDocumentConverter loads HTML from files or URLs, and then converts to PDF using Chrome-based rendering (configured via SetWebBrowserPath). The same SDK also provides OCR, format conversion, and compliance features.
Example 2 — Extract text from an existing PDF
IronPDF approach
using IronPdf;
// Load an existing PDF document.var pdf = PdfDocument.FromFile("document.pdf");
// Extract all text from the PDF.string text = pdf.ExtractAllText();
// Save the extracted text to a file.File.WriteAllText("extracted.txt", text);
// Extract text from a specific page.string pageText = pdf.ExtractTextFromPage(0); // First page (0-indexed)IronPDF loads the PDF and uses ExtractAllText() for all text or ExtractTextFromPage() for specific pages.
using GdPicturePDF gdpicturePDF = new GdPicturePDF();
// Load the source document.gdpicturePDF.LoadFromFile("input.pdf");
// Select the first page.gdpicturePDF.SelectPage(1);
// Extract the text from the page.string extractedText= gdpicturePDF.GetPageText();
// Save the extracted text to a file.File.WriteAllText("ExtractedText.txt", extractedText);Nutrient loads the PDF with LoadFromFile(), and then loops through each page to extract text using GetPageText(). The optional SetTextExtractionOptions() improves word boundary detection in structured documents.
Example 3 — Perform OCR on a scanned PDF
Nutrient includes built-in OCR with advanced pre- and post-processing. IronPDF requires a separate product (IronOCR) for OCR.
IronPDF approach
using IronPdf;using IronOcr;
// Note: IronOCR is a separate product from Iron Software.// Load the scanned PDF.var pdf = PdfDocument.FromFile("scanned.pdf");
// Create an OCR object.var ocr = new IronTesseract();
// Use IronOCR to read the first page.using var input = new OcrInput();input.LoadPdf("scanned.pdf", 0); // First pagevar result = ocr.Read(input);
// Get the text.string extractedText = result.Text;The code loads a PDF and then uses IronOCR (a separate product) to perform OCR on the first page. IronOCR supports 125+ languages with basic image preprocessing. You need both IronPDF and IronOCR licenses for this workflow.
using GdPicturePDF gdpicturePDF = new GdPicturePDF();
// Load the source document.gdpicturePDF.LoadFromFile("input.pdf");
// Run the OCR process on all pages with maximum multithreading support.gdpicturePDF.OcrPages("*", 0, "eng", "", "", 300);
// Save the result in a PDF document.gdpicturePDF.SaveToFile(@"C:\temp\output.pdf");Nutrient loads the PDF and runs OCR on all pages to make them searchable. The OcrPages() method recognizes text at 300 DPI using Nutrient’s built-in OCR engine (125+ languages) with advanced pre- and post-processing. No extra products are needed.
Example 4 — Merge multiple PDFs
IronPDF approach
using IronPdf;
var html_a = @"<p> [PDF_A] </p> <p> [PDF_A] 1st Page </p> <div style = 'page-break-after: always;' ></div> <p> [PDF_A] 2nd Page</p>";
var html_b = @"<p> [PDF_B] </p> <p> [PDF_B] 1st Page </p> <div style = 'page-break-after: always;' ></div> <p> [PDF_B] 2nd Page</p>";
var renderer = new ChromePdfRenderer();
var pdfdoc_a = renderer.RenderHtmlAsPdf(html_a);var pdfdoc_b = renderer.RenderHtmlAsPdf(html_b);var merged = PdfDocument.Merge(pdfdoc_a, pdfdoc_b);
merged.SaveAs("Merged.pdf");IronPDF generates PDFs from HTML strings and then combines them using the Merge() method.
Nutrient .NET SDK approach
using GdPictureDocumentConverter gdpictureConverter = new GdPictureDocumentConverter();IEnumerable<string> source = new List<string>(new string[] { @"C:\temp\source1.jpg", @"C:\temp\source2.xlsx" });gdpictureConverter.CombineToPDF(source, @"C:\temp\output.pdf", PdfConformance.PDF1_5);Nutrient’s CombineToPDF() accepts mixed file types (here, a JPG and Excel file) and converts them to PDF while merging. The method handles 100+ file formats — Office documents, images, and CAD files. IronPDF only merges existing PDFs.
PDF/A conversion benchmark
In an independent benchmark (November 2025) converting 3,157 files per vendor to PDF/A, Nutrient significantly outperformed IronPDF on conformance and reliability, while IronPDF was faster on raw throughput.
PDF/A conformance
| Metric | Nutrient | IronPDF |
|---|---|---|
| PDF/A conformance rate | 92.1 percent | 41.1 percent |
IronPDF’s high raw success rate (99.3 percent) masks the fact that most converted files do not meet strict PDF/A conformance. Nutrient produces valid, standards-compliant output at more than double the rate.
Reliability
| Metric | Nutrient | IronPDF |
|---|---|---|
| Conversion success rate | 96.3 percent | 99.3 percent |
| Critical failures | 0 | 11 |
| Bottlenecks (>1 minute) | 7 | 0 |
IronPDF had 11 critical failures (unrecoverable errors like stack overflows or memory corruption) across 3,157 files. Nutrient had zero.
Performance and efficiency
| Metric | Nutrient | IronPDF |
|---|---|---|
| Throughput (files per minute) | 492.7 | 699.6 |
| Processing time (minutes) | 6.17 | 4.48 |
| Average output size (MB) | 1.08 | 2.10 |
| Average memory (MB) | 7,456 | 832 |
IronPDF is faster and uses less memory. Nutrient produces files nearly half the size. The slower processing results from additional validation and repair steps that raise conformance rates.
PDF/UA conversion benchmark
In a separate benchmark (November 2025) converting 3,157 files per vendor to PDF/UA, Nutrient was the only vendor that completed an unassisted end-to-end run over all files. Other SDKs required manual intervention to skip problematic files.
PDF/UA conformance
| Metric | Nutrient | IronPDF |
|---|---|---|
| PDF/UA conformance rate | 83.9 percent | 47.9 percent |
Nutrient produces accessible, standards-compliant PDF/UA output at nearly double the rate, with full structural tagging, semantic role inference, and reading order detection.
Reliability
| Metric | Nutrient | IronPDF |
|---|---|---|
| Conversion success rate | 96.3 percent | 98.5 percent |
| Critical failures | 0 | 27 |
IronPDF had 27 critical failures across 3,157 files. Nutrient had zero.
Performance and efficiency
| Metric | Nutrient | IronPDF |
|---|---|---|
| Throughput (files per minute) | 27.6 | 91.9 |
| Average output size (MB) | 1.16 | 1.85 |
IronPDF is faster for PDF/UA conversion. Nutrient’s slower throughput results from full structural tagging, contrast checks, and table and list heading analysis, which produce smaller, higher-conformance output.
Note — Benchmark results vary by document complexity, hardware, and environment. Test with your actual documents for production planning.
Pricing comparison
Compare licensing costs, bundled features, and when each library offers better value for your team.
IronPDF pricing
Commercial licensing
- Commercial licenses typically range from approximately $750 to $2,000 or more depending on team size and project scope
- Perpetual licenses available (one-time purchase) or annual subscriptions
- Redistribution requires additional fees for SaaS and OEM deployment
- Updates and support included with subscription plans
Bundle pricing
IronPDF is part of Iron Software Suite. If you need multiple capabilities (OCR, barcode processing, and more), you’ll need additional Iron Software products, which can be purchased as a bundle.
Nutrient .NET SDK pricing
Commercial licensing
- Contact Sales for a custom quote
- Enterprise support included
- No per-developer or per-project restrictions
- Flexible licensing models available
- All features included in base license (OCR, ML-powered extraction, 100+ formats)
- Optional AI Document Processing SDK available
Nutrient’s price covers OCR, format conversion, ML-powered data extraction, and compliance. With Iron Software, these capabilities require buying multiple products.
Total cost of ownership comparison
| Factor | IronPDF | Nutrient .NET SDK |
|---|---|---|
| Initial cost | Starts around $750 or more | Contact for pricing |
| Additional libraries needed | IronOCR for OCR, converters for other formats | All-in-one solution |
| Support | Commercial support included | Enterprise support included |
| Updates | Annual subscription | Commercial updates and patches |
| Compliance | PDF/A, PDF/UA supported | Complete (PDF/A, PDF/UA, signatures) |
| Training | Good documentation | Comprehensive documentation |
| Maintenance | Vendor-supported | Vendor-supported |
When IronPDF costs less
- Your primary need is HTML-to-PDF conversion
- You have a small team (one or two developers)
- You don’t require OCR or multi-format processing
- Your documents are primarily web-based content
When Nutrient provides better value
- You need OCR or document extraction
- You process multiple document formats
- ML-powered data extraction saves development time
- Compliance requirements are critical
- Enterprise support reduces risk
Migration guide — IronPDF to Nutrient
Migrating from IronPDF to Nutrient takes a few steps, whether you replace HTML conversion entirely or adopt a hybrid approach.
Step 1 — Install Nutrient .NET SDK
Install via NuGet and configure licensing:
# Add the package (.NET 8.0 or higher).dotnet add package GdPicture.API
# For .NET Framework 4.6.2:dotnet add package GdPictureusing GdPicture14;
LicenseManager licenseManager = new LicenseManager();licenseManager.RegisterKEY(""); // Empty string for trial modeStep 2 — Choose your migration approach
Direct replacement — Replace IronPDF’s ChromePdfRenderer with Nutrient’s GdPictureDocumentConverter (see example 1)
Hybrid approach — Keep IronPDF for HTML generation, and use Nutrient for OCR, extraction, and compliance
Programmatic generation — Use Nutrient’s PDF creation API for simple documents
Step 3 — Add document processing features
After migrating HTML-to-PDF conversion, add these Nutrient capabilities:
- OCR — Example 3 shows built-in OCR for searchable PDF creation
- Data extraction — ML-powered extraction for forms, tables, and key-value pairs
- Multi-format — Convert 100+ formats to PDF
- Compliance — Full PDF/A support for archival standards
Migration effort estimate
| Project complexity | Estimated effort | Key challenges |
|---|---|---|
| Simple HTML-to-PDF conversion (fewer than 10 templates) | 2–4 weeks | HTML rendering conversion, testing |
| Medium complexity (10–50 templates) | 1–3 months | Complex HTML layouts, feature parity |
| Large application (50+ templates) | 3–6 months | Refactoring, integration, and testing |
Both libraries use Chrome-based rendering for HTML-to-PDF conversion. The main migration effort is adapting API patterns and testing output fidelity with your specific HTML layouts.
Use case recommendations
| Scenario | Choose IronPDF when… | Choose Nutrient when… |
|---|---|---|
| Primary use case | HTML-to-PDF conversion and basic PDF manipulation cover your needs (web content, reports, forms, and signatures) | Also need OCR, ML-powered data extraction, multi-format support, scanning, or barcodes |
| Document types | Only generating new PDFs from HTML and CSS layouts | Processing existing PDFs, scanned documents, or 100+ formats (Office, CAD, and DICOM) |
| OCR and scanning | Don’t need OCR or scanner integration | Process scanned documents with built-in OCR or capture from scanners (TWAIN and WIA) |
| Data extraction | Don’t need automated data extraction | Need ML-powered extraction from forms and invoices (key-value pairs, tables, OMR, and MRZ) |
| Compliance | Don’t need PDF/A archival or PDF/UA accessibility | Require PDF/A compliance or PDF/UA accessibility for regulated industries |
| Team size and licensing | Small team (one to five developers) with clear HTML-to-PDF scope and simple licensing needs | Growing requirements or need to avoid adding separate libraries for OCR, extraction, and compliance |
| Compliance benchmarks | PDF/A and PDF/UA conformance not critical for your workflow | Need high PDF/A (92.1 percent) or PDF/UA (83.9 percent) conformance rates for regulated industries |
Hybrid approach — Some teams use IronPDF for HTML-to-PDF generation, and then load PDFs into Nutrient for OCR, extraction, and compliance. Both use Chrome-based rendering, so the main reason for a hybrid setup is preserving existing IronPDF code while adding Nutrient’s processing capabilities. This requires managing two SDKs.
Conclusion
IronPDF handles HTML-to-PDF conversion and basic PDF manipulation. Nutrient provides HTML-to-PDF conversion and full document processing — OCR, data extraction, multi-format support, and compliance — in a single SDK.
Try Nutrient free or contact Sales for pricing.
FAQ
Choose Nutrient for document processing. It has built-in OCR (125+ languages), ML-powered data extraction from forms and invoices, and image preprocessing in one SDK. IronPDF offers basic PDF manipulation but needs separate products (IronOCR) for OCR, resulting in additional costs and more integration work.
Yes. Nutrient can open and process PDFs generated by IronPDF. But you’ll manage two libraries, licenses, and codebases. Most teams test whether Nutrient’s Chrome-based HTML-to-PDF conversion works for them first. If it does, starting with Nutrient avoids maintaining two PDF libraries and lets you add OCR, extraction, or compliance features later without rewriting code.
Both libraries run on Windows, Linux, and macOS. Both use Chrome-based rendering for HTML-to-PDF conversion, so Docker image sizes are comparable when using that feature. For workflows that don’t need HTML-to-PDF (OCR, extraction, and format conversion), Nutrient can run without a browser dependency, reducing image size and configuration overhead.
With IronPDF, you need two separate products: IronPDF plus IronOCR (each with separate licenses and costs). Nutrient includes built-in OCR, image preprocessing, format conversion, and compliance features in the base license. For teams needing OCR or data extraction, Nutrient’s single-license model costs less overall and avoids managing multiple vendors.
Nutrient .NET SDK includes ML-powered data extraction for key-value pairs, tables, and form fields, all built into the base product. For advanced natural language extraction and document classification using LLMs, Nutrient offers the AI Document Processing SDK as a separate product with its own license.
IronPDF uses an object-oriented API with .NET patterns (ChromePdfRenderer, PdfDocument). The HTML-to-PDF workflow: Render HTML string or URL, and then save as a PDF. Nutrient uses a method-based approach with status codes and page management. IronPDF is simpler for HTML-to-PDF conversion. Nutrient takes more setup but includes documentation and commercial support. For HTML-to-PDF only, IronPDF is faster to learn. For document processing (OCR, extraction, and compliance), Nutrient’s single API beats managing multiple libraries.