Showing 4 open source projects for "markdown windows"

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  • 1
    Pandoc

    Pandoc

    The universal markup converter

    Pandoc is a universal document converter able to convert files from a multitude of markup formats into another. With Pandoc, you have a swiss-army knife of a converter, able to convert practically any markup format into any other. Pandoc contains a Haskell library for conversions as well as a command-line tool that uses this library. It can convert to and from just about anything-- lightweight markup formats, HTML formats, documentation formats, ebooks, TeX formats, word processor formats...
    Downloads: 159 This Week
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  • 2
    Gotenberg

    Gotenberg

    A Docker-powered stateless API for PDF files

    Gotenberg provides a developer-friendly API to interact with powerful tools like Chromium and LibreOffice for converting numerous document formats (HTML, Markdown, Word, Excel, etc.) into PDF files, and more! Thanks to Docker, you don't have to install each tool in your environments; drop the Docker image in your stack, and you're good to go! The webhook feature allows you to upload the output file to the destination of your choice. There are many options to fit your requirements, from the...
    Downloads: 4 This Week
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  • 3
    tinypdf

    tinypdf

    Minimal PDF creation library

    tinypdf is a minimal, zero-dependency PDF generation library that focuses on the core “put content on a page” use case while intentionally skipping heavyweight features. It is designed to be extremely small and approachable, making it a good fit when you want to generate real PDFs in Node/TypeScript without pulling in a large toolkit. The library supports essential primitives like writing text, drawing basic shapes, and placing JPEG images, which covers common needs such as invoices,...
    Downloads: 2 This Week
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  • 4
    OCRBase

    OCRBase

    MD/.JSON Document OCR and structured data extraction API

    OCRBase is a self-hostable document OCR and structured extraction system built to turn PDFs into machine-usable outputs at scale, aiming to bridge the gap between raw text extraction and production-ready pipelines. Instead of treating OCR as a one-off script, it presents an API-driven workflow where documents are submitted as jobs and processed through a queue-based architecture that can handle high throughput. The core output is designed for downstream automation, producing structured...
    Downloads: 1 This Week
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