Azure OCR API

Silnik do odczytu OCR dla Azure w .NET

Your Go-To Microsoft Azure OCR Solution to Process Imperfect Images

Whether it is passport pages, invoices, bank statements, mail, business cards, or receipts; Optical Character Recognition (OCR) is a research field based upon pattern recognition, computer vision, and machine learning. Firms utilize OCR cross-departmentally to extract text in accounting and finance systems, business digitization, enterprise content management, and data reporting systems.

In addition to building other success stories. IronOCR adds value to Google Tesseract and Microsoft 2021 Azure Cognitive Services with IronOCR - a native C# OCR library.

If you are looking to convert real-world pictures with 99 percent accuracy - then read on, to see how IronOCR lets you build an efficient, accurate, scalable, and almost-human Optical Character Recognition application.

IronOCR is the Difference Between Market-Competitive and Market Leading Optical Character Recognition

Optical Character Recognition (OCR) is considered a solved phenomenon due to the immense confidence different APIs claim towards protection. However, the various products are often rigid and inaccurate that fail in real-world applications. Similarly, Tesseract OCR works with machine-printed, high-resolution, perfect text.

Sounds good?

Only the real world does not always have perfectly printed and handwritten text with high-resolution. Instead, rotated, skewed, low DPI, background noise, and all the banes of digital imperfections are taken care of by IronOCR, including extracting handwritten text from images files. We ensure a 99.8 - 100 percent accurate, searchable document with cross-platform support that includes Windows, Linux, macOS, Microsoft Azure, AWS, and Docker - there is a reason C# developers choose IronOCR over (basic) Tesseract OCR - it is all about adding value.

Equip yourself with the best!

In addition to the above, IronOCR equips you to process image documents promptly. If that's not all, the IronOCR API features also include the following:

• Extract printed text through OCR on almost any file, image, or PDF with exceptional accuracy and lightning speed
• Text extraction PDFs and pictures into searchable documents with perfect and visual and spatial representation
• Does not require exes or C++ code
• Complete PDF OCR support
• MVC, WebApp, Desktop, Console, and Server Application compatible
• Complete .NET Core, Standard, and FrameWork support
• Read using C# & VB .NET
• Export OCR to XHTML
• Supports multithreading
• Supports 125 international languages - ready-to-use language packs and custom-builds
• Extracts images, coordinates, statistics, fonts, and much more
• Redistributes Tesseract OCR inside commercial and proprietary applications
• Runs locally, with no SaaS required
• Excellent Alternative to OCR service from Microsoft Cognitive Services

Virtually Unlimited Features - IronOCR is 'the' Optical Character Recognition OCR Tool for the Digital Workspace

Transition from native .dlls or exes installation to a single source of truth - develop using a single, native .NET component library using a simple C# APIs that supports:

• .NET Framework 4.5 and above
• .NET Standard 2.0 and aobve (including 3.x & .NET 5 Beta)
• .NET Core 2.0 and above (including 3.x & .NET 5 Beta)
• .NET 5
• Xamarin for macOS

The art of IronOCR API does not end there; you can continue to explore our technical edge features further. We reduce the business complexities, one step at a time, by developing reliable solutions to streamline document processing applications and maximizing business revenues by offering industry-leading features have embedded:

• Pure .NET OCR API capabilities
• Local OCR operation, no cloud means more security
• Create optimized low quality, noisy and distorted scan resources
• Reads PDFs, multi-page TIFFs
• Can save any OCR Scan sample to a PDF document or XHTML that users can search
• Plain Text, Barcode Data, and an OCR Result class containing paragraphs, lines, words, and characters

IronOCR API Edge: Fulfil the Computer Vision?

Our optical character recognition process begins with automated image pre-processing, to enhance the image file that improves the extraction response rate. IronOCR adds value to your work as it enables the users to extract the example base image file into the optimum version of itself. IronOCR covers all bases:

Resolution Enhancement

As IronOCR service works optimally on 300DPI (Dots Per Inch) image files, any image that is significantly outside of 200-300 DPI is resampled to fit inside the targeted range.

This translates down-sampling from 600 DPI images to 300 DPI or up-sampling 100 DPI images to 200 DPI with 99 percent confidence.

Binarization

As IronOCR cognitive services are designed to function on monochromatic images, any colored or greyscale images are converted to monochromatic, utilizing an adaptive binarization algorithm.

The algorithm compares the pixel densities within an area that determines the threshold to use to convert pixels monochromatic.

Auto-Rotation and Deskewing

IronOCR looks for lines of texts and character patterns to automatically deskew and rotate input image resources to the desired orientation.

Adaptive Noise Removal

With IronOCR, image files are automatically analyzed for the presence and amount of noise. The noise is basically the ‘specks’ found on the scanned images. Our adaptive algorithm then removes the noise based upon the size of noise particles.

As soon as the sample image file is pre-processed, IronOCR then breaks the input image file into different processing zones.

Zoning

Another pre-preparation stage involves breaking the reference image into different logical zones. IronOCR first locates text and pictures within the image with the help of whitespace, and patterns; the text region is separated from images.

It is then partitioned into zones – paragraphs, columns, and text blocks. The images and remaining non-text pixels are identified to be omitted during text recognition and included in the smart output. IronOCR then flags the text zones as tables with the help of gridlines and text blocks.

Text Recognition Capabilities

Perform multiple, inter-connected steps that convert pixel blobs into single-line text threads that users can search. This includes character segmentation, adaptive classification, dictionary references, and other related processes that contribute towards the optimum extracted text.

Tried-and-Tested Multiple Parameters

With IronOCR API service, we have tested our tool through multiple data files examples in multiple languages that include word levels, symbol accuracy, and layout retention in Microsoft Office formats. Although some parameters are automatically tested; others include visual checks.

Connect with IronOCR - the Ideal OCR Cognitive Services Solution

IronOCR lets you add OCR cross-platform capabilities with multiple input formats to a plain text string that you can search. To empower your productivity with IronOCR, get started with our free tutorial documentation that guides you through using IronOCR. Download our NuGet package installer today, and explore with a free trial key or connect with 24/7 personal support. Scale your needs with our lifetime licensing, regardless of your team size.