«Excel to PDF .Net» will help you in development of applications which need to convert XLSX/XLS to PDF, PDF/A, DOCX and RTF. Read: XLSX, XLS. Write: PDF, DOCX, RTF. Doesn't support Charts. + Created in 100% managed C#. No Microsoft Office automation. + Has own XLSX/XLS parser (Charts are not supported). + Has own DOCX renderer according to ECMA-376 specification. + Has own RTF renderer according to RTF 1.8 specification. + Has own PDF renderer according to PDF reference 1.2 — 1.7, PDF/A-1a — PDF/A-3u. + .NET Framework 4.6.2 and higher. + .NET 6 and higher.
GroupDocs.Parser for .NET is a useful parsing class library which allows to extract different data from documents of various formats. The data extraction API supports PDF, DOC, DOCX, PPT, PPTX, XLS, XLSX and many more formats.
A lexer and parser of Excel formulas with focus on performance. Its goal is to create an abstract syntax tree from a formula text to enable formula evaluation.
A fast Xlsx to Html file converter. Support cell fills, fonts, borders, alignments, and other styles. Support different cell sizes and merged cells. Support custom number formats and basic conditions. Support multiple sheets and hidden sheets. Support embedded pictures. Support progress callbacks. Only depend on the Microsoft Open Xml SDK.
Helper library that let you generate Excel document based on markdown files.
Document Data Parsing REST APIs for Any Platform. Parse your documents with predefined templates, extract desired info - text fields, numbers, prices and tables. Extract text in various modes. Over 50 document formats are supported in any application, using our native document parsing APIs for cloud.
ARC and ISA xlsx compliant parser for experimental metadata toolkit in F#. This project is meant as an easy means to open, manipulate and save ISA (Investigation,Study,Assay) metadata files in isa-xlsx format.
ARC and ISA xlsx compliant parser for experimental metadata toolkit in F#. This project is meant as an easy means to open, manipulate and save ISA (Investigation,Study,Assay) metadata files in isa-xlsx format.
Simple C# library for extracting text and metadata from .docx, .pptx, and .xlsx files
Simple C# library for extracting text and metadata from .docx, .pptx, and .xlsx files
GroupDocs.Parser for .NET is a useful parsing class library which allows to extract different data from documents of various formats. The data extraction API supports PDF, DOC, DOCX, PPT, PPTX, XLS, XLSX and many more formats.
Open Source library specialized in processing, validating and extracting data from files in Excel format. Supports fields validations and conversion of the extracted data to a specific type.
DocumentAtom provides a light, fast library for breaking input documents into constituent parts (atoms), useful for AI, machine learning, processing, analytics, and general analysis.
DocumentAtom provides a light, fast library for breaking input image documents into constituent parts (atoms), useful for AI, machine learning, processing, analytics, and general analysis.
DocumentAtom provides a light, fast library for breaking input documents into constituent parts (atoms), useful for AI, machine learning, processing, analytics, and general analysis.
DocumentAtom provides a light, fast library for breaking input text documents into constituent parts (atoms), useful for AI, machine learning, processing, analytics, and general analysis.
DocumentAtom provides a light, fast library for breaking input Word (docx) documents into constituent parts (atoms), useful for AI, machine learning, processing, analytics, and general analysis.
DocumentAtom provides a light, fast library for breaking input Excel (xlsx) documents into constituent parts (atoms), useful for AI, machine learning, processing, analytics, and general analysis.
DocumentAtom provides a light, fast library for breaking input PowerPoint (pptx) documents into constituent parts (atoms), useful for AI, machine learning, processing, analytics, and general analysis.
DocumentAtom provides a light, fast library for breaking input images into constituent text parts (atoms), useful for AI, machine learning, processing, analytics, and general analysis.
DocumentAtom provides a light, fast library for breaking input markdown documents into constituent parts (atoms), useful for AI, machine learning, processing, analytics, and general analysis.
DocumentAtom provides a light, fast library for breaking input PDF documents into constituent parts (atoms), useful for AI, machine learning, processing, analytics, and general analysis.
Core classes for DocumentAtom. Download the DocumentAtom package specific to the content types you wish to process. DocumentAtom provides a light, fast library for breaking input documents into constituent parts (atoms), useful for AI, machine learning, processing, analytics, and general analysis.
A lexer and parser of Excel formulas with focus on performance. Its goal is to create an abstract syntax tree from a formula text to enable formula evaluation.