Search Results for "html parser delphi"

Convert HTML into Markdown with Go. It is using an HTML Parser to avoid the use of regexp as much as possible. That should prevent some weird cases and allows it to be used for cases where the input is totally unknown.

markdown-it is a fast and extensible JavaScript-based Markdown parser designed to convert Markdown text into HTML while maintaining strict compliance with the CommonMark specification and offering additional syntax enhancements. It is widely used in web applications, documentation tools, and content platforms due to its high performance and flexibility. The library is built with a rule-based parsing system that allows developers to customize or replace syntax rules, making it adaptable to a wide variety of use cases. ...

markdown-rs is an open-source markdown parser written in Rust. It’s implemented as a state machine (#![no_std] + alloc) that emits concrete tokens, so that every byte is accounted for, with positional info. The API then exposes this information as an AST, which is easier to work with, or it compiles directly to HTML. While most markdown parsers work towards compliancy with CommonMark (or GFM), this project goes further by following how the reference parsers (cmark, cmark-gfm) work, which is confirmed with thousands of extra tests. ...

A fast, powerful, CommonMark compliant, extensible Markdown processor for .NET. Very fast parser and HTML renderer (no-regexp), very lightweight in terms of GC pressure. Abstract Syntax Tree with precise source code location for syntax tree, useful when building a Markdown editor. Check out MarkdownEditor for Visual Studio powered by Markdig! Even the core Markdown/CommonMark parsing is pluggable, so it allows to disable built-in Markdown/Commonmark parsing (e.g Disable HTML parsing) or change behavior. ...

cebe/markdown is a super fast, highly extensible markdown parser for PHP. It is a set of PHP classes, each representing a Markdown flavor and a command line tool for converting Markdown files to HTML files. The implementation focus is to be fast (see benchmark) and extensible. You are able to add additional language elements by directly hooking into the parser, no (possibly error-prone) post- or pre-processing is needed to extend the language.