Text Analysis API for Spreadsheets, Presentations and Text Documents - GroupDocs.Parser for .NET 18.8
We are pleased to announce the release of version 18.8 of GroupDocs.Parser for .NET. In this version, we have extended the support of text analysis API for spreadsheets, presentations and text documents. Furthermore, the latest version allows providing a password for protected documents on-demand. We’d recommend you to use the latest version of the API and share your feedback.
Features Introduced Text Analysis API GroupDocs.Parser allows extracting text areas from the pages of a document.
Extract Text Areas from Document Pages using GroupDocs.Parser for .NET 18.7
Today, we are excited to announce the release of version 18.7 of GroupDocs.Parser for .NET. The latest release supports extracting text areas from document pages. This feature may help you getting data for text analysis. We recommend you to upgrade the API to the latest version and share your valuable feedback.
Extracting Text AreasExtracting text areas is useful when you need to get the data for text analysis. To extract text areas, text extractors implement their own internal private class and provide DocumentContent property (see PdfTextExtractor as the sample).
GroupDocs.Text for .NET has been Renamed to GroupDocs.Parser for .NET
We are pleased to announce that GroupDocs.Text for .NET has been renamed to GroupDocs.Parser for .NET. We have published the first monthly release as GroupDocs.Parser for .NET 18.5 after renaming of the API. The latest release has come with a few changes and a couple of enhancements. Please continue to read about the changes and the enhancements that we have made in version 18.5.
Important to KnowIt is important to inform you that the renaming of the API will not disturb your existing code and the API structure still remains the same.
Extract TOC from EPUB Documents using GroupDocs.Text for .NET 18.4
It gives us immense pleasure to announce the release of version 18.4 of GroupDocs.Text for .NET. The latest version allows extracting the table of contents from the EPUB documents. Furthermore, we have added the feature of detecting media type of .one file. Following sections provide details about the newly added features.
Extracting TOC from EPUB Documents Using version 18.4, you can now extract TOC from the EPUB documents. To access the TOC, TableOfContents property of **EpubPackage **class is used.
Extract Formatted Text from CHM Documents using GroupDocs.Text for .NET 18.3
We keep looking forward to bringing you more features and therefore, we have released version 18.3 of GroupDocs.Text for .NET providing the support of extracting formatted text from CHM documents. The latest version also allows you to extract text by pages and extract table of content from CHM documents. The following sections will provide you the details about the new features of the API.
Extracting Formatted Text from CHM Documents GroupDocs.
Extract Text from Markdown Documents using GroupDocs.Text for .NET 18.2
We are pleased to announce that we have released another version of GroupDocs.Text for .NET API providing the support of text extraction from Markdown documents. Using GroupDocs.Text for .NET 18.2, you can extract raw text, formatted text and the structured text from a Markdown document. Following sections will provide you the details about the new features of the API.
Extracting Raw Text from Markdown Documents Since version 18.2, GroupDocs.Text allows you to extract a line of characters as well as all the characters at once from a Markdown document.
Retrieving ZIP Container's Entity by Full Name using GroupDocs.Text for .NET 17.12
We are excited to announce that we have released version 17.12 of GroupDocs.Text for .NET API. In this version, we have introduced a simplified way of extracting text as well as formatted text using a simple interface. We have also extended the support of IPageTextExtractor interface for OneNote documents. Furthermore, the latest version also allows you to retrieve an entity by its name from ZIP container. Please continue to read for more details.