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IronOCR vs Azure OCR PDF: Which Solution Extracts Text Better?

IronOCR vs Azure OCR PDF: Which Solution Extracts Text Better?: Image 1 - IronOCR vs Azure OCR PDF

When developers need to extract text from PDF documents and images, two prominent options emerge: Microsoft's cloud-based Azure AI services and IronOCR's local .NET library. Both offer optical character recognition (OCR) capabilities, but they differ significantly in deployment, pricing, and ease of use. In this comparison, we'll examine how each solution handles PDF and TIFF files, creates searchable PDF documents, and supports the extraction of printed and handwritten text.

Get started with IronOCR's free trial to test these capabilities in your own projects.

Optical Character Recognition Tool Comparison

Feature IronOCR Azure Document Intelligence
Deployment Local machine processing Cloud-based API
Internet Required No Yes
Pricing Model One-time perpetual license Pay-per-page ($1.50-$10/1,000 pages)
Searchable PDF Output Built-in method Requires additional processing
Supported Languages 125+ languages 100+ languages
File Formats PDF, TIFF, PNG, JPG, BMP, GIF PDF, TIFF, JPEG, PNG, BMP
Free Tier 30-day trial 500 pages/month

What Are the Key Differences Between Cloud and Local OCR Processing?

The fundamental distinction lies in where text extraction occurs. Azure AI Document Intelligence (formerly Azure Form Recognizer) processes documents on Microsoft's cloud infrastructure. Users upload files to the Azure portal, and the Read API analyzes images and scanned documents remotely. This approach requires internet connectivity and incurs per-page costs.

IronOCR operates entirely on your local machine, making it a powerful tool for organizations with data privacy requirements or air-gapped environments. The library runs without external API calls, giving developers complete control over their document processing pipeline. For real-time user experiences in desktop or web applications, local processing eliminates network latency and ensures responsible use of sensitive documents.

Note that Azure Vision and Azure Form services both fall under the broader Azure AI services umbrella. Computer vision capabilities in Azure can analyze images for general purposes, while Document Intelligence specifically handles text extraction from documents with mixed languages and complex layouts.

How Do You Extract Text from PDF and TIFF Files?

Extracting Text With IronOCR

IronOCR provides a straightforward API to extract text from various file formats. The following code demonstrates processing a scanned PDF:

using IronOcr;
var ocr = new IronTesseract();
using var input = new OcrInput("document.pdf");
var result = ocr.Read(input);
Console.WriteLine(result.Text);
using IronOcr;
var ocr = new IronTesseract();
using var input = new OcrInput("document.pdf");
var result = ocr.Read(input);
Console.WriteLine(result.Text);
IRON VB CONVERTER ERROR developers@ironsoftware.com
$vbLabelText   $csharpLabel

OCR Output

IronOCR vs Azure OCR PDF: Which Solution Extracts Text Better?: Image 2 - IronOCR output

This script loads a PDF file, processes all pages, and outputs the extracted words and lines. IronOCR's OcrInput class supports PDF documents, multi-page TIFF files, and standard image formats like PNG, JPEG, JPG, and BMP. The width and dimensions of input images are handled automatically.

Extracting Text with Azure Document Intelligence

For Azure Document Intelligence, you must first create a resource in the Azure portal, then implement the Read API:

var client = new DocumentAnalysisClient(
    new Uri(endpoint), new AzureKeyCredential(key));
var operation = await client.AnalyzeDocumentAsync(
    WaitUntil.Completed, "prebuilt-read", stream);
var result = operation.Value;
var client = new DocumentAnalysisClient(
    new Uri(endpoint), new AzureKeyCredential(key));
var operation = await client.AnalyzeDocumentAsync(
    WaitUntil.Completed, "prebuilt-read", stream);
var result = operation.Value;
IRON VB CONVERTER ERROR developers@ironsoftware.com
$vbLabelText   $csharpLabel

Using Azure AI requires managing credentials, handling asynchronous operations, and processing the response data structure. While Azure OCR PDF tools offer robust capabilities for enterprise scenarios, the implementation complexity is notably higher.

Which Solution Creates Better Searchable PDFs?

Converting scanned documents to searchable PDFs is essential for archival and indexing. IronOCR excels here with its dedicated SaveAsSearchablePdf method:

using IronOcr;
var ocr = new IronTesseract();
using var input = new OcrInput("scanned.pdf");
var result = ocr.Read(input);
result.SaveAsSearchablePdf("searchable-output.pdf");
using IronOcr;
var ocr = new IronTesseract();
using var input = new OcrInput("scanned.pdf");
var result = ocr.Read(input);
result.SaveAsSearchablePdf("searchable-output.pdf");
IRON VB CONVERTER ERROR developers@ironsoftware.com
$vbLabelText   $csharpLabel

Created Searchable PDF

IronOCR vs Azure OCR PDF: Which Solution Extracts Text Better?: Image 3 - Searchable PDF created with IronOCR

This code converts any scanned PDF into a fully searchable document, enabling users to search, select, and copy text. The process preserves the original document's appearance while embedding an invisible text layer created from the OCR results.

Azure Document Intelligence doesn't provide direct searchable PDF creation. Developers must extract printed text, then use additional libraries to reconstruct searchable documents—adding complexity and development time to the workflow.

How Does Pricing Compare for Document Processing?

Azure's pay-per-page model charges based on the specific information extracted. The Read API costs approximately $1.50 per 1,000 pages, while prebuilt models for forms and invoices range up to $10 per 1,000 pages. High-volume users can access commitment-based pricing, but costs accumulate continuously.

IronOCR offers perpetual licenses starting at $749 for a single developer. This one-time investment provides unlimited page processing with no ongoing fees, which is a significant advantage for applications that analyze thousands of documents per month. For complete details, refer to the IronOCR licensing page.

Both solutions support optical character recognition (OCR) for printed and handwritten text across numerous supported languages. IronOCR provides 125 language packs, including support for mixed languages within single documents. Error handling and image analysis features help process even low-quality scans.

Conclusion

For .NET developers seeking to extract text from images and convert scanned PDF documents into searchable files, IronOCR delivers a more streamlined experience. Its local processing model eliminates cloud dependencies, while the simple API reduces implementation time. The perpetual licensing structure provides predictable costs regardless of processing volume.

Azure Document Intelligence remains relevant for organizations already invested in Microsoft's ecosystem or requiring specific prebuilt form models. However, for straightforward OCR tasks and searchable PDF creation, IronOCR's capabilities and developer-friendly approach make it the stronger choice.

Purchase an IronOCR license to unlock unlimited document processing for your applications.

Kannaopat Udonpant
Software Engineer
Before becoming a Software Engineer, Kannapat completed a Environmental Resources PhD from Hokkaido University in Japan. While pursuing his degree, Kannapat also became a member of the Vehicle Robotics Laboratory, which is part of the Department of Bioproduction Engineering. In 2022, he leveraged his C# skills to join Iron Software's engineering ...
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