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This article contains a summary of recent changes, enhancements and bug fixes in Aspose.OCR for Python via .NET 26.9.1 (September 2026) release.

What was changed

Key	Summary	Category
#OCRNET‑1272	Added public region type metadata for recognized text lines and detected recognition regions.	New feature
#OCRNET‑1265	Improved region detection and expanded the number of detectable region types by updating the document structure detection model from `aspose-ocr-document-structure-detection-v1.ocr` to `aspose-ocr-document-structure-detection-v2.ocr`.	Enhancement
#OCRNET‑1263	Updated the AI module so model files are no longer downloaded automatically.	Enhancement
#OCRNET‑1259	Extended the `Language.ExtLatin` alphabet with currency symbols and added recognition of currency symbols.	Enhancement

Public API changes and backwards compatibility

This section lists all public API changes introduced in Aspose.OCR for Python via .NET 26.9.1 that may affect the code of existing applications. See RecognitionResult API reference.

Added public APIs:

The following public APIs have been introduced in this release:

`aspose.ocr.RecognitionResult.LinesResult.region_type` - a new property

Returns the detected layout region type and the bounds of the region that contains the recognized text line.

`aspose.ocr.RecognitionResult.RegionResult.region_type` - a new property

Returns the detected layout type for a recognized region.

Compatibility: fully backward compatible.

Updated public APIs:

No signature changes.

Table recognition has been improved to address a customer-reported issue.

Removed public APIs:

No changes.

Examples

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

Read region types from recognition results

import aspose.ocr

api = aspose.ocr.AsposeOcr()

input_data = aspose.ocr.OcrInput(aspose.ocr.InputType.SINGLE_IMAGE)
input_data.add("document.png")

settings = aspose.ocr.RecognitionSettings()
settings.detect_areas_mode = aspose.ocr.DetectAreasMode.MULTICOLUMN

result = api.recognize(input_data, settings)[0]

for region in result.recognition_regions_result:
    print(f"Region type: {region.region_type}")
    print(region.text_in_region)

Recognize currency symbols with ExtLatin

import aspose.ocr

api = aspose.ocr.AsposeOcr()

input_data = aspose.ocr.OcrInput(aspose.ocr.InputType.SINGLE_IMAGE)
input_data.add("price-list.png")

settings = aspose.ocr.RecognitionSettings()
settings.language = aspose.ocr.Language.EXT_LATIN

results = api.recognize(input_data, settings)

for result in results:
    print(result.recognition_text)

Currency symbols are included in the extended Latin alphabet and are processed automatically during recognition. If you use allowed_symbols or ignored_symbols, make sure the expected currency symbols are allowed.

Recognize formulas with a local AI model

import aspose.ocr

api = aspose.ocr.AsposeOcr()

input_data = aspose.ocr.OcrInput(aspose.ocr.InputType.SINGLE_IMAGE)
input_data.add("formula.png")

model_path = "C:\Models\Some-Model-3-Vision-Latex.gguf"

results = api.recognize_formula_ai(input_data, False, model_path)

for result in results:
    print(result.result)

Detect document type with a local AI model

import aspose.ocr

api = aspose.ocr.AsposeOcr()

input_data = aspose.ocr.OcrInput(aspose.ocr.InputType.SINGLE_IMAGE)
input_data.add("invoice.png")

model_path = "C:\Models\Some-Model-3-Vision-Latex.gguf"

results = api.detect_document_type_ai(input_data, False, model_path)

for result in results:
    print(result.file_name)
    print(result.result)

For recognize_formula_ai() and detect_document_type_ai(), model_path must point to the main GGUF model file. The required projector file must be placed in the same directory as the main model file.