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  1. Tesseract is a software that can recognize text in images and convert it to various formats. Learn about its history, features, installation, usage, and development on GitHub.

  2. 5 de mar. de 2002 · Tesseract is an open source text recognition (OCR) Engine, available under the Apache 2.0 license. Major version 5 is the current stable version and started with release 5.0.0 on November 30, 2021. Newer minor versions and bugfix versions are available from GitHub.

  3. tesseract-ocr.github.io › tessdoc › InstallationIntroduction | tessdoc

    Tesseract documentation View on GitHub Introduction. Tesseract is an open source text recognition (OCR) Engine, available under the Apache 2.0 license. It can be used directly, or (for programmers) using an API to extract printed text from images. It supports a wide variety of languages.

  4. tesseract-ocr.github.io › tessdoc › DownloadsDownloads | tessdoc

    Tesseract is included in most Linux distributions. Binaries for Windows Old Downloads. Downloads Archive on SourceForge. There you can find, among other files, Windows installer for the old version 3.02. Currently, there is no official Windows installer for newer versions. 3rd party Windows exe’s/installer. Cygwin includes packages for Tesseract.

  5. Tesseract es un motor de reconocimiento óptico de caracteres para varios sistemas operativos. [1] Es software libre, liberado bajo la licencia Apache, Versión 2.0 [2] y su desarrollo es financiado por Google desde el 2006. [3] Tesseract fue considerado en 2006 como uno de los motores de OCR de código abierto más precisos disponibles. [4]

  6. 5 de mar. de 2002 · Tesseract is an open source text recognition (OCR) engine that supports a wide variety of languages. Learn how to use Tesseract via command line, API, or GUI, and access the latest source code, binaries, and traineddata files.

  7. Tesseract is an open source optical character recognition (OCR) engine that supports many languages. See the latest releases, bug fixes, features, and contributors of Tesseract on GitHub.

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