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Aspose.OCR for .NET 24.10.0 - Release Notes

This article contains a summary of recent changes, enhancements and bug fixes in Aspose.OCR for .NET 24.10.0 (October 2024) release.

GPU version: 23.10.1

Deprecation warning

The release 24.3.0 updates the codes of some recognition languages to align with ISO 639-2 standard.
Starting with the release 24.6.0, use Aspose.OCR.Country.NONE recognition setting to disable extraction of key details from passport images instead of Aspose.OCR.Country.UNIVERSAL.
Starting with the release 24.10.0, Aspose.OCR for .NET introduces new content structure detection modes.

To make it easier to upgrade your code, we have kept all legacy values, but marked them as deprecated. All of your existing code will continue to work and you can even make minor updates to it, but be aware that all deprecated language codes are scheduled to be removed in release 25.1.0 (January 2025).

Time to deprecation: 2 months left.

What was changed

Key	Summary	Category
OCRNET‑927	Added support for recognizing mixed-language Chinese/English texts.	New feature
OCRNET‑927	Significantly improved Chinese text recognition accuracy.	Enhancement
OCRNET‑929	Introduced simple and straightforward content structure detection modes.	Enhancement
OCRNET‑930	Improved compatibility with TIFF images.	Enhancement

Public API changes and backwards compatibility

This section lists all public API changes introduced in Aspose.OCR for .NET 24.10.0 that may affect the code of existing applications.

Added public APIs:

The following public APIs have been added to Aspose.OCR for .NET 24.10.0 release:

`Aspose.OCR.DetectAreasMode` enumeration values

A scan or photograph of a text may contain a large number of blocks of various content - text paragraphs, tables, illustrations, formulas, and the like. Detecting, ordering, and classifying areas of interest on a page is the cornerstone of successful and accurate OCR.

Aspose.OCR for .NET 24.10.0 introduces simple and straightforward content structure detection modes:

Name	Description	Use cases
`Aspose.OCR.DetectAreasMode.UNIVERSAL`	Detects all blocks of text in the image, including sparse and irregular text on street photos. Default content recognition mode.	A versatile option for most images, except for tables and multi-column layouts.
`Aspose.OCR.DetectAreasMode.MULTICOLUMN`	Detects large blocks of text formatted in columns.	Multi-column layouts such as book pages, articles, or contracts.
`Aspose.OCR.DetectAreasMode.LEAN`	Prioritizes speed and reduces resource consumption by omitting support for complex layouts.	Simple images with a few lines of text without illustrations or formatting.

Updated public APIs:

No changes.

Removed public APIs:

No changes.

Deprecated APIs

The following public APIs have been marked as deprecated and will be removed in 25.1.0 (January 2025) release:

`Aspose.OCR.DetectAreasMode.NONE`

Use Aspose.OCR.DetectAreasMode.LEAN for recognizing simple images with a few lines of text without illustrations or formatting, prioritizing speed and reducing resource consumption.

`Aspose.OCR.DetectAreasMode.PHOTO`

Use Aspose.OCR.DetectAreasMode.UNIVERSAL for photos and screenshots.

`Aspose.OCR.DetectAreasMode.COMBINE`

Use Aspose.OCR.DetectAreasMode.UNIVERSAL for most documents.

`Aspose.OCR.DetectAreasMode.TEXT_IN_WILD`

Use Aspose.OCR.DetectAreasMode.UNIVERSAL for street photos.

`Aspose.OCR.DetectAreasMode.DOCUMENT`

Use Aspose.OCR.DetectAreasMode.MULTICOLUMN for recognizing multi-column layouts.

Examples

The code samples below illustrate the changes introduced in this release:

Recognizing multi-column layout

Aspose.OCR.AsposeOcr recognitionEngine = new Aspose.OCR.AsposeOcr();
// Add an image to OcrInput object
Aspose.OCR.OcrInput input = new Aspose.OCR.OcrInput(Aspose.OCR.InputType.SingleImage);
input.Add("source.png");
// Set document areas detection mode
Aspose.OCR.RecognitionSettings recognitionSettings = new Aspose.OCR.RecognitionSettings();
recognitionSettings.DetectAreasMode = Aspose.OCR.DetectAreasMode.MULTICOLUMN;
// Recognize image
List<Aspose.OCR.RecognitionResult> results = recognitionEngine.Recognize(input, recognitionSettings);
foreach(Aspose.OCR.RecognitionResult result in results)
{
	Console.WriteLine(result.RecognitionText);
}