Search Results for "pdf ocr windows"
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Showing 8 open source projects for "pdf ocr windows"
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libvips
A fast image processing library with low memory needs
libvips is a demand-driven, horizontally threaded image processing library. Compared to similar libraries, libvips runs quickly and uses little memory. libvips is licensed under the LGPL 2.1+. It has around 300 operations covering arithmetic, histograms, convolution, morphological operations, frequency filtering, colour, resampling, statistics and others. It supports a large range of numeric types, from 8-bit int to 128-bit complex. Images can have any number of bands. It supports a good... -
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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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cuneiformplus
Fork of OCR software cuneiform
Fork of OCR software cuneiform Original software see: https://launchpad.net/cuneiform-linux by Cognitive Technologies and Jussi Pakkanen Other Open Source OCR stuff see * Tesseract by Ray Smith (using the Leptonica image library) * GOCR * OCRAD -
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Vedvarsha is an application for 2 purposes: 1. Handwariting script recognition that extracts recognized letters into documents. 2. OCR (Optical Character Recogniton) that works only for non-cursive and isolated characters. It depends upon libsyntactic,
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zTranslator is a free and open-source software which translates text between more than 50 different languages (powered by Bing Translator, Google Translator…). It also supports OCR, which let you easy to capture any text on the screen to translate.
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UCR is a project name for the development of an handwritten characters in Korean language. The goal is to create a UCR Library for handwriting as well as OCR from off-line, on-line data. And we have a plan to build a UCR library for mobile.
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