using IronOcr; using IronSoftware.Drawing; // We can delve deep into OCR results as an object model of // Pages, Barcodes, Paragraphs, Lines, Words and Characters // This allows us to explore, export and draw OCR content using other APIs/ var ocrTesseract = new IronTesseract(); ocrTesseract.Configuration.ReadBarCodes = true; using var ocrInput = new OcrInput(); var pages = new int[] { 1, 2 }; ocrInput.LoadImageFrames("example.tiff", pages); OcrResult ocrResult = ocrTesseract.Read(ocrInput); foreach (var page in ocrResult.Pages) { // Page object int PageNumber = page.PageNumber; string PageText = page.Text; int PageWordCount = page.WordCount; // null if we dont set Ocr.Configuration.ReadBarCodes = true; OcrResult.Barcode[] Barcodes = page.Barcodes; AnyBitmap PageImage = page.ToBitmap(ocrInput); double PageWidth = page.Width; double PageHeight = page.Height; double PageRotation = page.Rotation; // angular correction in degrees from OcrInput.Deskew() foreach (var paragraph in page.Paragraphs) { // Pages -> Paragraphs int ParagraphNumber = paragraph.ParagraphNumber; string ParagraphText = paragraph.Text; AnyBitmap ParagraphImage = paragraph.ToBitmap(ocrInput); int ParagraphX_location = paragraph.X; int ParagraphY_location = paragraph.Y; int ParagraphWidth = paragraph.Width; int ParagraphHeight = paragraph.Height; double ParagraphOcrAccuracy = paragraph.Confidence; OcrResult.TextFlow paragrapthText_direction = paragraph.TextDirection; foreach (var line in paragraph.Lines) { // Pages -> Paragraphs -> Lines int LineNumber = line.LineNumber; string LineText = line.Text; AnyBitmap LineImage = line.ToBitmap(ocrInput); int LineX_location = line.X; int LineY_location = line.Y; int LineWidth = line.Width; int LineHeight = line.Height; double LineOcrAccuracy = line.Confidence; double LineSkew = line.BaselineAngle; double LineOffset = line.BaselineOffset; foreach (var word in line.Words) { // Pages -> Paragraphs -> Lines -> Words int WordNumber = word.WordNumber; string WordText = word.Text; AnyBitmap WordImage = word.ToBitmap(ocrInput); int WordX_location = word.X; int WordY_location = word.Y; int WordWidth = word.Width; int WordHeight = word.Height; double WordOcrAccuracy = word.Confidence; foreach (var character in word.Characters) { // Pages -> Paragraphs -> Lines -> Words -> Characters int CharacterNumber = character.CharacterNumber; string CharacterText = character.Text; AnyBitmap CharacterImage = character.ToBitmap(ocrInput); int CharacterX_location = character.X; int CharacterY_location = character.Y; int CharacterWidth = character.Width; int CharacterHeight = character.Height; double CharacterOcrAccuracy = character.Confidence; // Output alternative symbols choices and their probability. // Very useful for spellchecking OcrResult.Choice[] Choices = character.Choices; } } } } }

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Acrobat DC OCR Alternatives Using IronOCR

Published December 12, 2023

Introduction

In the digital age, the demand for efficient document management and information accessibility has given rise to advanced technologies that bridge the gap between physical and digital content. One such technology that has become indispensable in this context is Optical Character Recognition (OCR).

Adobe Acrobat Pro DC, a widely used PDF file solution, incorporates OCR capabilities, enabling users to convert scanned PDF documents and image files into editable and searchable text.

In this article, we will dig deep into the significance of Acrobat DC OCR, explore its features and applications, and introduce IronOCR as a versatile alternative for developers seeking powerful OCR capabilities.

Understanding Acrobat DC OCR Tool

1. OCR in Adobe Acrobat DC

Adobe Acrobat DC is a comprehensive PDF document solution that goes beyond basic document viewing and editing. One of its standout features is the built-in OCR functionality, which allows users to edit scanned documents and convert images into searchable and editable text.

This feature has proven to be invaluable for businesses, academics, and individuals seeking to unlock the potential of their digitized content.

Acrobat DC OCR Alternatives Using IronOCR: Figure 1

2. Recognize Text Scanned Documents

Adobe Acrobat OCR enables users to recognize text from scanned files and images into editable and searchable text and PDF files. This is particularly useful when dealing with legacy documents, handwritten notes, or printed materials that need to be digitized for efficient storage, retrieval, and editing.

Acrobat DC OCR Alternatives Using IronOCR: Figure 2

3. Enhancing Searchability

The OCR feature in Acrobat DC significantly enhances the searchability of PDF documents. Once text is extracted from scanned images, users can search for specific keywords within the document, making it easier to locate relevant information quickly. This is especially beneficial in research, legal, and archival contexts.

4. Preserving Document Formatting

Acrobat DC OCR strives to preserve the formatting of the original document, ensuring that the converted text closely resembles the layout of the source material. This is crucial for maintaining the integrity of documents, especially in cases where formatting carries important information.

5. Language Support

Adobe Acrobat DC OCR supports multiple languages, making it a versatile solution for users around the world. This multilingual support ensures that documents in various languages can be accurately converted into editable text.

Advantages and Limitations

Advantages of Acrobat DC OCR

Integration with PDF Workflow: The OCR functionality seamlessly integrates with Adobe Acrobat DC's broader suite of PDF tools, offering a comprehensive solution for document management within a single platform.
User-Friendly Interface: Adobe Acrobat DC provides a user-friendly interface, making OCR accessible to individuals with varying levels of technical expertise. The process of converting scanned documents into text is intuitive and can be accomplished with a few clicks.
Preservation of Document Layout: The OCR feature in Acrobat DC excels at preserving the layout of the original document, ensuring that the converted text maintains the spatial arrangement of elements.

Limitations of Acrobat DC OCR

Limited Customization: While Acrobat DC OCR is effective in many scenarios, it may lack the level of customization required for specific applications. Users looking for more control over OCR processes may find the options limited within the Adobe Acrobat environment.
Dependency on Adobe Ecosystem: The OCR feature is embedded within Adobe Acrobat DC, tying users to the Adobe ecosystem. This dependency may limit the flexibility for users who prefer to integrate OCR functionality into their own applications or workflows.

Introducing IronOCR

While Acrobat DC OCR serves as a powerful tool for individual users and businesses invested in the Adobe ecosystem, developers seeking a more versatile OCR solution may find IronOCR to be a compelling alternative.

IronOCR, an OCR library developed by Iron Software, presents itself as a powerful and flexible alternative for developers seeking OCR capabilities. IronOCR provides a developer-friendly API that allows seamless integration into various applications and programming languages such as C#, VB.NET, and F#. This flexibility ensures that developers can easily incorporate OCR functionality into their projects.

Acrobat DC OCR Alternatives Using IronOCR: Figure 3

Key Features of IronOCR

Accuracy: IronOCR is renowned for its high accuracy in text recognition. Its advanced OCR algorithms ensure reliable results even in challenging scenarios, making it suitable for a wide range of applications.
Versatility: As a .NET OCR library, IronOCR supports various input formats, including images and PDFs. This adaptability makes it suitable for diverse use cases, from scanned documents to photographs.
Language Support: IronOCR is designed to cater to a global audience, supporting multiple languages. This flexibility ensures that the OCR library can handle documents in different linguistic contexts.
Ease of Integration: IronOCR is known for its seamless integration into .NET applications. Developers can easily incorporate IronOCR into their projects, allowing for efficient implementation of OCR functionality without complex coding requirements.
Customization: IronOCR provides developers with the flexibility to fine-tune and customize the OCR process based on specific requirements. This level of customization ensures optimal performance tailored to the unique characteristics of different applications.

Advantages of IronOCR for Developers

Independence from Specific Ecosystems: Unlike Acrobat DC OCR, IronOCR operates independently of specific ecosystems, providing developers with the freedom to integrate OCR functionality into a wide range of applications.
Extensive Customization Options: IronOCR offers developers extensive customization options, allowing them to adapt OCR processes to the specific needs of their applications. This level of control is especially valuable for projects with unique requirements.
Support for Various Input Formats: IronOCR supports various input formats, making it a versatile solution for developers working with different types of documents, images, and PDFs.
Community and Support: IronOCR benefits from a community of developers and strong support resources, ensuring that developers have access to assistance and updates as needed.

IronOCR Code Example

Here's a simple C# code example to extract text from any type of image file format:

using IronOcr;
string imageText = new IronTesseract().Read(@"images\image.png").Text;
Console.WriteLine(imageText);

using IronOcr;
string imageText = new IronTesseract().Read(@"images\image.png").Text;
Console.WriteLine(imageText);

Imports IronOcr
Private imageText As String = (New IronTesseract()).Read("images\image.png").Text
Console.WriteLine(imageText)

VB C#

For more detailed information on IronOCR functionalities and capabilities, please visit the well documented code examples and documentation pages.

Conclusion

In conclusion, while Adobe Acrobat DC OCR serves as a robust solution for individual users and businesses within the Adobe ecosystem, developers, prioritizing flexibility and control over OCR processes, may find IronOCR to be a powerful alternative.

IronOCR's developer-centric approach, advanced customization options, and compatibility with popular frameworks offer a more tailored and cost-effective solution for developers aiming to seamlessly integrate OCR into their applications.

As the demand for efficient text extraction and document digitization grows, OCR libraries like IronOCR are poised to play a crucial role in shaping the future of information accessibility and management. The choice between these OCR solutions ultimately hinges on the specific requirements and preferences of the user or developer.

IronOCR provides a free trial must be purchased. Download IronOCR to experience its benefits.

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