The database is considered to be an integral part of most of the applications. Be it a desktop, web or mobile application, database plays a vital role in storing, accessing and manipulating the data. There are many database management systems that allow creating and managing databases for you.
However, there could be a scenario when you need a way to extract data from database files, i.e. .db file, without installing a database management system or writing the SQL queries.
Count Words and Occurrences of Each Word in a Document using C#
Repetition of data can diminish the worth of the content. Working as a writer, you must follow DRY (don’t repeat yourself) principle. The statistics such as word count or the number of occurrences of each word can let you analyze the content but it’s hard to do it manually for multiple documents. So in this article, I’ll demonstrate how to programmatically count words and the number of occurrences of each word in PDF, Word, Excel, PowerPoint, Ebook, Markup, and Email document formats using C#.
Extract Tables from PDF Documents using GroupDocs.Parser for .NET 18.12
It is our pleasure to announce the release of version 18.12 of GroupDocs.Parser for .NET. The latest version allows you to extract the tables from PDF documents. Furthermore, we have added the support of extracting text and metadata from text and presentation templates. For more details, please have a look at the release notes of version 18.12.
Features Introduced Extracting Tables from PDF DocumentsThis feature is very useful when you want to extract only the tables form a PDF document.
Get Information of Supported Extractors for a Document using GroupDocs.Parser for .NET 18.11
We are pleased to announce the release of version 18.11 of GroupDocs.Parser for .NET. The latest version came up with one new feature and three enhancements. It allows you to get information about the supported extractors for a document. Furthermore, we have improved the text area extraction for the PDF documents. For more details, please have a look at the release notes of version 18.11.
Features Introduced Getting Information of Supported Extractors for a DocumentThis feature helps to get the information about the supported extractors for a document.
Extract Text from Databases using GroupDocs.Parser for .NET 18.9
GroupDocs.Parser for .NET 18.9 has been released! The latest version allows you to extract text from the databases. You can also extract data from the form fields in a PDF document. Please continue to read for more details on the features introduced in v18.9.
Features Introduced Extracting Text from DatabasesYou can now extract text from the databases. To extract text from databases DbContainer class is used that implements IContainer interface. Each data table is represented by the entity.
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.