Aspose.OCR for .NET
将 OCR/OMR 功能添加至您的.NET 应用程序。
由以下开发商制作:Aspose
ComponentSource开始代理销售的日期:2006年
Aspose.OCR for .NET 新版本发表
Released: Feb 25, 2021
V21.2 中的更新
特性
- Added spell-checking features.
- Added a blacklist for recognition symbols.
Released: Jan 31, 2021
V21.1 中的更新
特性
- Added the ability to save recognition results in Markdown or searchable PDF format.
- Improved recognition quality.
- Improved performance and reduced memory consumption.
Released: Dec 28, 2020
V20.12 中的更新
特性
- Added the ability to save recognition results in DOC, DOCX, ODT and TXT formats.
- Increased performance by reducing image loading times.
Released: Nov 26, 2020
V20.11 中的更新
特性
- Added the ability to choose language options.
- Added the ability to recognize a batch of images in a zip archive or in a folder. Pass archive name or folder name as a parameter and get an array of results from each page.
Released: Oct 27, 2020
V20.10 中的更新
特性
- Added the option to choose language.
- Added the option to set a custom angle for the skew correction feature.
Released: Sep 25, 2020
V20.9 中的更新
特性
- Added new JSON recognition result format.
- Added new API method:
- Send URI-link for recognition.
- Send recognition options as an object.
- Get recognition result as an object with different properties.
Released: Aug 28, 2020
V20.8 中的更新
特性
- Added a new Machine Learning (ML) model with improved symbol recognition.
Released: Jun 15, 2020
V20.6 中的更新
特性
- Improved recognition quality.
- Added support for working with streams.
- Added support for working with recognition areas.
- Added the ability to specify characters for recognition.
- Added the ability to calculate the skew of the image.
- Added flag for text area detection.
- Added optional flag for skew correction.
Released: Apr 23, 2020
V20.4 中的更新
特性
- Improved performance using CPU/GPU.
- Added new text search approach tuned for complex layouts.
Released: Oct 4, 2019
V19.9 中的更新
特性
- Added new Line Recognition Neural Network for processing entire lines of text (without the need to split into separate words). This makes recognition faster and improves quality.
