Aspose.OCR for Java
將 OCR/OMR 功能添加至您的 Java 應用程式。
由以下開發商製作:Aspose
ComponentSource 開始代理銷售的日期:2006年
Aspose.OCR for Java 新版本發表
Released: Mar 17, 2025
V25.3 中的更新
特性
- Added automatic detection of image language, supporting: English (Latin), Cyrillic, Arabic, Chinese, Japanese, Korean, Hindi, Tamil, Telugu, and Kannada.
Released: Feb 14, 2025
V25.2 中的更新
特性
- Recognition results can now be saved in hOCR format.
Released: Jan 25, 2025
V25.1 中的更新
特性
- Optimized searchable PDFs to fully preserve the original image quality and maintain the file size.
- Note: This improvement applies only when both the source and target files are in PDF format.
- Removed deprecated APIs to improve code readability and performance.
- Changed the default language model to English (without diacritics) when no recognition language is explicitly specified.
Released: Dec 17, 2024
V24.12 中的更新
特性
- Added a container class for storing recognition results.
- Added support for recognizing Mongolian text.
- Added a method to release memory by unloading unneeded OCR modules.
- Significantly enhanced the performance of saving recognition results to searchable PDFs.
- Improved the calculation of line height in searchable PDFs.
Released: Nov 23, 2024
V24.11.1 中的更新
特性
- Added an experimental OCR model for extracting mixed-language Cyrillic/English text.
- Added support for recognizing mixed-language Telugu/English text.
- Added support for recognizing mixed-language Tamil/English text.
- Added support for recognizing mixed-language Kannada/English text.
- Added universal recognition of Indic text based on Devanagari script, including mixed Devanagari/English text.
- Added universal recognition of Chinese/English text (language-agnostic).
Released: Nov 13, 2024
V24.11 中的更新
特性
- Significantly improved Chinese text recognition accuracy.
- Added support for recognizing mixed-language Chinese/English texts.
- Added support for recognizing mixed-language Korean/English text.
- Added support for recognizing mixed-language Japanese/English text.
- Introduced simple and straightforward content structure detection modes.
- Text extraction is now faster and more precise across various document types.
- Improved searchable PDF generation.
Released: Oct 9, 2024
V24.10 中的更新
特性
- Added the ability to reduce PDF file size at the expense of lower background image quality.
- Implemented next-get text-in-wild OCR model with improved recognition accuracy and multi-language support.
- Improved image orientation detection to prevent certain images from being incorrectly rotated upside-down.
Released: Sep 5, 2024
V24.8 中的更新
特性
- Significantly improved automatic correction of rotated and upside-down images.
Released: Jun 19, 2024
V24.6.1 中的更新
特性
- Added the ability to extract essential details (such as a number, name, date of birth, and so on) from US passport images.
- Enabled embedding of user-specified fonts in recognition results saved as PDFs.
Released: Jun 11, 2024
V24.6 中的更新
特性
- Added support for the automatic detection of problematic areas of an image that can significantly impact the accuracy of OCR.
- Significantly improved the recognition of languages based on the Latin alphabet.
