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; } } } } }

OCR TOOLS

OCR SaaS (Updated Compare List for Commercial Use)

Published April 19, 2023

OCR (Optical Character Recognition) is a technology that enables the conversion of handwritten, printed, or typed text into a digital format. This technology has been around for decades, but with the emergence of cloud computing and SaaS (Software as a Service), OCR has become more accessible and affordable to businesses of all sizes. OCR SaaS (OCR Software as a Service) is a cloud-based solution that provides OCR functionality as a service. It allows businesses to process large volumes of text data quickly and accurately without having to invest in expensive hardware and software.

The benefits of OCR SaaS include increased efficiency and improved accuracy. By automating text recognition tasks, businesses can save time and money and reduce the risk of errors caused by manual data entry. OCR SaaS also enables businesses to extract valuable insights from unstructured data, which can help them make better-informed decisions.

In this article, we will discuss and compare the best OCR software for extracting data from business documents.

1. Google Cloud Vision OCR Software

Google Cloud Vision is a powerful Optical Character Recognition (OCR) SaaS technology developed by Google that provides advanced image analysis and recognition capabilities. With Cloud Vision, users can easily extract text from images, recognize objects and faces, and detect labels and logos, among other features. Additionally, Google Cloud Vision provides highly accurate results and supports over 50 languages, making it a reliable solution for companies and organizations operating on a global scale.

OCR SaaS (Updated Compare List for Commercial Use): Figure 1

Google Cloud Vision offers two licensing options: a pay-as-you-go model and a monthly billing model. Under the pay-as-you-go model, users are charged based on the number of API requests they make, with prices starting at $1.50 per 1,000 requests for OCR. On the other hand, the monthly billing model allows users to purchase a set number of requests per month at a discounted rate.

One of the key benefits of Google Cloud Vision is its powerful machine learning algorithms, which enable it to accurately identify and classify objects and text, even in challenging images. Additionally, Google Cloud Vision offers a range of advanced features, such as the ability to detect inappropriate or sensitive content, which can be useful in content moderation and filtering.

However, one potential disadvantage of Google Cloud Vision is its pricing structure, which may not be suitable for all users, especially those with high volumes of API requests. Additionally, some users may be concerned about privacy and data security when using a cloud-based OCR solution, as it involves sending images to a third-party server for analysis.

OCR SaaS (Updated Compare List for Commercial Use): Figure 2

2. Amazon Textract

Amazon Textract is an OCR SaaS technology by Amazon Web Services (AWS) that extracts data and text from various scanned documents, including PDFs and images, through machine learning algorithms. This cloud-based service offers ease of use as users can upload their documents to AWS console, which enables Amazon Textract to automatically analyze the document layout and identify text and tables within the document.

OCR SaaS (Updated Compare List for Commercial Use): Figure 3

Amazon Textract is scalable, making it efficient for processing vast document volumes quickly. Its pay-per-use pricing model is straightforward, with a fixed charge per page processed. Users can also benefit from a free trial period to test the service before committing to a subscription.

One of the key advantages of Amazon Textract is its high accuracy, even when handling complex documents with multiple fonts and layouts. The service can also extract data from tables and other structured documents, making it ideal for data analysis and reporting.

On the other hand, Amazon Textract's pay-per-use model may be costly for users who process many documents. Also, the service does not support handwritten text recognition, which is a limitation for some users.

OCR SaaS (Updated Compare List for Commercial Use): Figure 4

3. Microsoft Azure Computer Vision

Microsoft Azure Computer Vision from Microsoft Azure is an OCR SaaS tool that allows businesses to integrate advanced computer vision capabilities into their applications. It provides a range of functions, including OCR, image analysis, and object detection. Azure Computer Vision is highly accessible and scalable, making it suitable for businesses of all sizes. The licensing and pricing structures of Azure Computer Vision are flexible and based on usage, with both free and paid tiers available.

OCR SaaS (Updated Compare List for Commercial Use): Figure 5

The main benefits of Azure Computer Vision include its high accuracy, scalability, and ease of integration into existing applications. It is also backed by Microsoft's extensive support network, ensuring that businesses have access to the resources they need.

However, some businesses may find Azure Computer Vision to be complex, as it does require some technical expertise to use. Additionally, the cost of the service may be higher than other OCR SaaS offerings.

OCR SaaS (Updated Compare List for Commercial Use): Figure 6

4. IronOCR

IronOCR is an OCR SaaS that enables users to extract text and data from images, PDFs, and scanned documents easily. IronOCR is designed to be highly accurate and reliable and can recognize text in over 100 languages. Additionally, IronOCR supports automated data entry and is capable of capturing data from structured data.

OCR SaaS (Updated Compare List for Commercial Use): Figure 7

One of the key benefits of IronOCR is its ease of use. Users can upload their documents to the IronOCR platform, and the software will automatically recognize the text and convert it into editable formats, such as Microsoft Word or Excel. Additionally, IronOCR offers a range of advanced features, such as image pre-processing and enhancement, to ensure the OCR process is as accurate as possible.

Another key benefit of IronOCR is its high level of accuracy. The software uses advanced OCR algorithms to recognize text and data with a high degree of accuracy, even in challenging environments such as low-quality scans or handwritten documents. IronOCR also offers a range of advanced features, such as image pre-processing and image enhancement, to help ensure that the OCR process is as accurate as possible.

IronOCR provides a range of licensing options to meet various user requirements. The software is available as a single developer license, which is suitable for small businesses and individual developers. IronOCR also offers a team license, which allows multiple developers to use the software within a single organization.

OCR SaaS (Updated Compare List for Commercial Use): Figure 9

One potential disadvantage of IronOCR is that it may not be suitable for businesses or organizations that have very large OCR requirements, as the pay-as-you-go pricing model can become expensive at scale. However, for most businesses and individual users, IronOCR provides a reliable and cost-effective OCR solution that can help streamline document processing and improve productivity.

You can easily install and integrate IronOCR into your .NET project. To begin, just type the following command in the NuGet Package Manager console.

Install-Package IronOcr

4.1. Code Example

Simply provide the file path to the input image, then run the code below.

OCR SaaS (Updated Compare List for Commercial Use): Figure 9


    using IronOcr;
    using System;
    IronTesseract ocrTesseract = new IronTesseract();
    using (OcrInput ocrInput = new OcrInput("ocr.png"))
    {
        OcrResult ocrResult = ocrTesseract.Read(ocrInput);
        string RecognizedText = ocrResult.Text;
        Console.WriteLine(RecognizedText);
    }


    using IronOcr;
    using System;
    IronTesseract ocrTesseract = new IronTesseract();
    using (OcrInput ocrInput = new OcrInput("ocr.png"))
    {
        OcrResult ocrResult = ocrTesseract.Read(ocrInput);
        string RecognizedText = ocrResult.Text;
        Console.WriteLine(RecognizedText);
    }

Imports IronOcr
	Imports System
	Private ocrTesseract As New IronTesseract()
	Using ocrInput As New OcrInput("ocr.png")
		Dim ocrResult As OcrResult = ocrTesseract.Read(ocrInput)
		Dim RecognizedText As String = ocrResult.Text
		Console.WriteLine(RecognizedText)
	End Using

VB C#

OCR SaaS (Updated Compare List for Commercial Use): Figure 10

5. Summary

OCR SaaS is a cloud-based solution that provides OCR functionality as a service. It allows handwritten, printed, or typed text to be converted into a digital format, making it more accessible and affordable for businesses to automate text recognition tasks and extract valuable insights from unstructured data.

This article compares four OCR SaaS solutions, namely Google Cloud Vision, Amazon Textract, Microsoft Azure Computer Vision, and IronOCR, highlighting the key features and benefits of each solution. While all four OCR SaaS solutions have high accuracy levels, IronOCR stands out as the only OCR that works on both a local machine and in the cloud, making it the best choice for many users. For more information on how IronOCR SaaS works, please visit the following link.

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