Showing 5 open source projects for "document layout recognition"

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  • 1
    vitae

    vitae

    R Markdown Résumés and CVs

    vitae is an R package that streamlines resume and CV creation via R Markdown. It includes a collection of LaTeX and HTML templates along with helper functions to dynamically populate content from data sources such as ORCID or spreadsheets.
    Downloads: 0 This Week
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  • 2
    AI File Sorter

    AI File Sorter

    Local AI file organization with categorization and rename suggestions

    AI File Sorter is a cross-platform desktop application that uses AI (local LLMs run on your computer) to organize files and suggest meaningful file names based on real content, not just filenames or extensions. The app can analyze images locally and propose descriptive rename suggestions (for example, IMG_2048.jpg → clouds_over_lake.jpg). It can also analyze document text to improve categorization and renaming. Supported formats include PDF, DOCX, XLSX, PPTX, ODT, ODS, ODP, and common...
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    Downloads: 381 This Week
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  • 3

    mega-snap-merge

    Mega Snap Merge v9.2.2 – Free desktop tool

    ...This application is especially useful for Nepali users, cooperatives, offices, banks, and individuals preparing documents for online form submission. With features like JPEG/PDF export, file compression, batch merging, and clean UI, Mega Snap Merge provides a complete document utility package for everyday use. It supports A4 layout export, PDF merging, image combining, and simple scanning workflows. Built by Mega Info Tech, Nepal.
    Downloads: 5 This Week
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  • 4

    UniversalTextExtractor

    Command-line toolset for extracting text from files

    Command-line toolset for extracting text from files (documents, images, archives) into SQLite with OCR support. Simple, expandable, one shell script only.
    Downloads: 0 This Week
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  • 5
    moderncv

    moderncv

    A modern curriculum vitae class for LaTeX

    moderncv is a LaTeX class for producing clean, contemporary CVs and résumés with minimal effort and consistent typography. It ships with multiple style variants and color themes, plus high-level macros for entries (education, experience, skills, publications) so you can focus on content rather than layout. The class supports optional headshots, icons, sidebars, and fine-grained spacing controls to adapt the look from compact academic to more visual design-oriented profiles. Because it’s...
    Downloads: 0 This Week
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