Search Results for "extract"

A data hoarder’s dream come true, bundle any web page into a single HTML file. You can finally replace that gazillion of open tabs with a gazillion of .html files stored somewhere on your precious little drive. Unlike the conventional “Save page as”, monolith not only saves the target document, it embeds CSS, image, and JavaScript assets all at once, producing a single HTML5 document that is a joy to store and share. If compared to saving websites with wget -mpk, this tool embeds all assets...

...It focuses on speed, concurrency, and reliability by using asynchronous and multi-threaded processing to handle large volumes of web pages. It can rapidly crawl websites to collect links, retrieve page content, and extract structured information from HTML documents. Spider can operate concurrently across many pages, allowing it to gather large datasets in a short period of time. Spider also provides mechanisms for subscribing to crawl events so developers can process page data such as URLs, status codes, or HTML content as it is discovered. It supports advanced capabilities such as headless browser rendering, background crawling tasks, and configurable rules that control crawl depth or ignored paths. ...

SemTools is an open-source command-line toolkit designed for document parsing, semantic indexing, and semantic search workflows. The project focuses on enabling developers and AI agents to process large document collections and extract meaningful semantic representations that can be searched efficiently. Built with Rust for performance and reliability, the toolchain provides fast processing of text and structured documents while maintaining low system overhead. SemTools can parse documents, build semantic embeddings, and perform similarity searches across datasets, making it useful for research, knowledge management, and AI-assisted coding workflows. ...

Extractous is a Rust-based unstructured data extraction library focused on fast local parsing of documents and other content-heavy files. Its purpose is to extract text and metadata efficiently from formats such as PDF, Word, HTML, email archives, images, and more, without depending on external APIs or separate parsing servers. The project emphasizes performance and low memory usage, and its maintainers describe it as a local-first alternative to heavier extraction stacks. For broader format support, the system combines its Rust core with ahead-of-time compiled Apache Tika shared libraries, which allows it to extend parsing coverage while still avoiding traditional server-based overhead. ...