Search Results for "word html"
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Showing 12 open source projects for "word html"
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1
WeChatMsg
Project aimed at extracting, exporting, and analyzing chat records
WeChatMsg repository hosts an open-source project aimed at extracting, exporting, and analyzing chat records from the WeChat messaging platform. It provides tools that read local WeChat database files and allow users to convert chat data into readable formats such as HTML, Word, and CSV, making it possible to inspect conversations outside the mobile app environment. Beyond simple export, the project includes mechanisms for analyzing chat histories and generating annual reports or visual summaries about messaging trends, interaction patterns, and more. The original README communicates a guiding philosophy about owning personal data and using it responsibly to train personalized AI agents or preserve memories. ... -
2
PasteMD
Paste Markdown and AI responses into Word Excel instantly fast
PasteMD is a lightweight desktop utility designed to streamline the process of transferring formatted content from the clipboard into office applications such as Word, WPS, and Excel. It primarily targets users who frequently copy content from AI chat tools or web pages and encounter formatting issues, especially with Markdown, tables, and LaTeX formulas. PasteMD operates from the system tray and monitors clipboard content, automatically converting Markdown or HTML into properly formatted documents using Pandoc. ... -
3
BudouX
Standalone, small, language-neutral
Standalone. Small. Language-neutral. BudouX is the successor to Budou, the machine learning-powered line break organizer tool. It is standalone. It works with no dependency on third-party word segmenters such as Google cloud natural language API. It is small. It takes only around 15 KB including its machine learning model. It's reasonable to use it even on the client-side. It is language-neutral. You can train a model for any language by feeding a dataset to BudouX’s training... -
4
DocStrange
Extract and convert data from any document, images, pdfs, word doc
DocStrange is an open-source document understanding and extraction library designed to convert complex files into structured, LLM-ready outputs such as Markdown, JSON, CSV, and HTML. Developed by Nanonets, the project combines OCR, layout detection, table understanding, and structured extraction into one end-to-end pipeline, which reduces the need to stitch together multiple separate services. It is built for developers who need high-quality parsing from scans, photos, PDFs, office files,... -
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5
annyang!
Speech recognition for your site
annyang is a tiny javascript library that lets your visitors control your site with voice commands. annyang supports multiple languages, has no dependencies, weighs just 2kb and is free to use. annyang understands commands with named variables, splats, and optional words. Use named variables for one word arguments in your command. Use splats to capture multi-word text at the end of your command (greedy). Use optional words or phrases to define a part of the command as optional. annyang plays nicely with all browsers, progressively enhancing browsers that support SpeechRecognition, while leaving users with older browsers unaffected. ... -
6
Unstructured.IO
Open source libraries and APIs to build custom preprocessing pipelines
The unstructured library provides open-source components for ingesting and pre-processing images and text documents, such as PDFs, HTML, Word docs, and many more. The use cases of unstructured revolve around streamlining and optimizing the data processing workflow for LLMs. unstructured modular bricks and connectors form a cohesive system that simplifies data ingestion and pre-processing, making it adaptable to different platforms and is efficient in transforming unstructured data into structured outputs. -
7
Extractous
Fast and efficient unstructured data extraction
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. ... -
8
LandPPT
An LLM-based presentation generation platform
LandPPT is an open-source AI platform that automatically generates professional presentation slides using large language models. The system allows users to create complete PowerPoint presentations simply by entering a topic or uploading source documents such as PDFs, Word files, or Markdown notes. Using natural language processing and structured content generation, the platform produces presentation outlines and converts them into fully formatted slide decks. The application integrates... -
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AnyTXT Searcher
A Powerful Desktop Full-Text Search Engine, Just Like Local Google.
...You can quickly find any text in any file on your disk by Anytxt almost in 0.1 second. It works on Windows 11,10, 8, 7, Vista, XP, 2008, 2012, 2016,2022... AnyTXT Searcher supports the following file formats: Plain text (txt, cpp, py, html, etc.) Microsoft OneNote (one) Microsoft Word (doc, docx) Microsoft Excel (xls, xlsx) Microsoft PowerPoint (ppt, pptx) PDF WPS Office (wps, et, dps) EBook (epub, mobi, azw3, fb2 etc.) Mind Map Format (lighten, mmap, mm, xmind etc.) OFD ..... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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10
LexiFinder
AI-powered semantic indexing: automating the creation of book indexes
LexiFinder is a tool to generate analytic indexes from documents automatically. Given one or more source documents and a set of keywords, it extracts all nouns, compares them semantically to the keywords using a pretrained NLP model, and produces a structured, hierarchical index ready to be included in a book or manuscript. LexiFinder works in two ways: as a command-line tool for scripting, automation, and batch processing, and as a graphical application for a guided, point-and-click... -
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Super PDF Editor (a Batch PDF Processor)
Create, Edit, Delete, Organize , Convert, Export, Secure & Sign PDF.
Super PDF Editor - Powerful, superfast, lightweight PDF processor. All-in-one PDF solution, PDF editing with 80+ tools and functions. The easy-to-use software is complete with editing tools for modifying PDF files your way. Most comprehensive, powerful, process-based and lightning-fast batch processor software. OCR PDF. PDF Imposition, Reverse Pages, Resize Page, Scale Page, Booklet, N-up Pages, Merge, Split by page, Extract Page, Rotate Page. Replace Page, Insert Page, Delete Page.... -
12
anno
Go package for text annotation
...There are two parts to anno, the first is a series of Finder functions that look for interesting articles (which it calls `Notes`) inside the text, returning a slice of Note structs. The second is the Expander, which replaces the text in each Note with something else, like the HTML for a link or something. It tells you the bytes that it found, the `Start` index and a string describing the kind of `Note`. The kind is useful for when you run pass `Finder` objects to the `FindMany` or `FindManyString` functions. Since most of the built-in finders operate on a per field basis (word by word), it made sense to add a special helper called `FieldFunc` that generates`FinderFunc` functions for us, and takes away the repetitive task of breaking the string up, and iterating over each word.
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