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Aspose.OCR for Python via .NET 25.3.0 - Release Notes

This article contains a summary of recent changes, enhancements and bug fixes in Aspose.OCR for Python via .NET 25.3.0 (March 2025) release.

What was changed

Key	Summary	Category
OCRNET‑87	Added automatic detection of image language, supporting: English (Latin), Cyrillic, Arabic, Chinese, Japanese, Korean, Hindi, Tamil, Telugu, and Kannada.	New feature

Public API changes and backwards compatibility

This section lists all public API changes introduced in Aspose.OCR for Python via .NET 25.3.0 that may affect the code of existing applications.

Added public APIs:

The following public APIs have been introduced in this release:

`DetectedLanguage`

This class is responsible for storing the detected language.

Property	Type	Description
`language`	`Language`	Detected language
`accuracy`	`float`	The confidence level of the language detection, which can be used to assess the accuracy.

`LanguageDetectionOutput` class

This class stores the results of language detection.

Property	Type	Description
`source`	`string`	The full path or URL of the source file. If the file is provided as a `MemoryStream` object, an array of pixels, or a Base64 string, this value will be empty.
`page`	`int`	Page number. When working with single-page images, this value is always 0.
`languages`	Array	Lists the languages (`DetectedLanguage`) detected in the image along with their probabilities.

`detect_languages` method

Identify languages on the images provided in OcrInput object and return them as an array of LanguageDetectionOutput objects.

To use this method, install (aspose-ocr-language-classification-v1) advanced OCR model to your project.

Updated public APIs:

No changes.

Removed public APIs:

No changes.

Examples

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

Detect languages on the image

# Instantiate Aspose.OCR API
api = AsposeOcr()
# Add image to the recognition batch
input = OcrInput(InputType.SINGLE_IMAGE)
input.add("source.png")
# Detect languages
result = api.detect_languages(input)
for lang in result[0].languages:
    print(lang.language)
    print(lang.accuracy)