Released: May 21, 2026

Actualizaciones en V26.5

Características

• Added region-level recognition results to RecognitionResult - Added the ability to access recognized text per detected region via RecognitionRegionsResult.

Released: Mar 31, 2026

Actualizaciones en V26.3

Correcciones

• Performance and memory consumption issue: add 'EnableCpuMemArena' and 'EnableMemoryPattern' to configure ONNX Runtime.

Released: Feb 27, 2026

Actualizaciones en V26.2

Características

• Internal improvements and stability refinements.

Released: Feb 1, 2026

Actualizaciones en V26.1

Características

• Added RecognizeTables method in the API.

Released: Nov 19, 2025

Actualizaciones en V25.11

Características

• Added CSV output format support for table detection (in OcrOutput class).
• Added support for OCRTable recognition result format.
• Integrated formula detection and recognition functionality.

Correcciones

• Fixed bug with PDF recognition in the Docker based on the customer's issue.

Released: Oct 9, 2025

Actualizaciones en V25.10

Características

• Enhanced setUpscaleSmallFont behavior in RecognitionSettings to improve recognition quality.
• Updated Aspose.PDF dependency to version 25.9 to improve stability and compatibility.

Released: Sep 17, 2025

Actualizaciones en V25.9

Características

• Enhanced Markdown output and layout detection, resulting in more accurate table and image extraction and improved formatting.

Released: Aug 31, 2025

Actualizaciones en V25.8

Características

• Enhanced Excel output and table layout detection when using DetectAreasMode.TABLE, resulting in more accurate structure extraction and improved formatting.
• Updated ONNX Runtime to version 1.22.1 for improved performance, stability, and compatibility.

Released: Jun 16, 2025

Actualizaciones en V25.6

Características

• Added a debug mode to the API to allow users to view detection area results on the image.
• Added 'confidence' setting for text lines in RecognitionResult.

Released: May 26, 2025

Actualizaciones en V25.5

Características

• Exposed control over ONNX session options for advanced users.
• Optimization: Created classes for one-time InferenceSession initialization and optimized performance.