Showing 3 open source projects for "image"

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  • Context for your AI agents Icon
    Context for your AI agents

    Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

    Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
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  • Desktop and Mobile Device Management Software Icon
    Desktop and Mobile Device Management Software

    It's a modern take on desktop management that can be scaled as per organizational needs.

    Desktop Central is a unified endpoint management (UEM) solution that helps in managing servers, laptops, desktops, smartphones, and tablets from a central location.
    Learn More
  • 1
    Gotenberg

    Gotenberg

    A Docker-powered stateless API for PDF files

    ...Build your own Docker image by adding new tools and create modules that provide new routes to the API. 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!
    Downloads: 4 This Week
    Last Update:
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  • 2
    docconv

    docconv

    Converts PDF, DOC, DOCX, XML, HTML, RTF, etc to plain text

    ...See go help install for details on the installation location of the installed docd executable. Make sure that the full path to the executable is in your PATH environment variable. To add image support to the docconv library you first need to install and build gosseract. Now you can add -tags ocr to any go command when building/fetching/testing docconv to include support for processing images. Documents can be sent as a multipart POST request and the plain text (body) and meta information are then returned as a JSON object.
    Downloads: 0 This Week
    Last Update:
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  • 3
    yj

    yj

    Convert between YAML, TOML, JSON, and HCL

    Convert between YAML, TOML, JSON, and HCL.
    Downloads: 0 This Week
    Last Update:
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