Search Results for "image to text"
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Showing 5 open source projects for "image to text"
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OCR Manga Reader for Android
Android Manga reader with Japanese OCR and dictionary capabilities
OCR Manga Reader is a free and open source Android app that allows you to quickly OCR and lookup Japanese words in real-time. It does not have ads or telemetry/spyware and does not require an Internet connection. Supports both EDICT and EPWING dictionaries. Requires Android 4.0 (Ice Cream Sandwich) or higher. See http://ocrmangareaderforandroid.sourceforge.net/ for details. -
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LPub3D
LDraw™ editor for LEGO® style digital building instructions.
LPub3D is an Open Source WYSIWYG editing application for creating LEGO® style digital building instructions. LPub3D is developed and maintained by Trevor SANDY. It uses the LDraw™ parts library, the most comprehensive library of digital Open Source LEGO® bricks available (www.ldraw.org/ ) and reads the LDraw LDR and MPD model file formats. LPub3D is available for free under the GNU Public License v3 and runs on Windows, Linux and macOS Operating Systems. LPub3D is also... -
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Tengwar Editor
Create, save, copy and edit tengwar texts with this application.
Tengwar is the alphabet of elfish languages which was invented by J.R.R.Tolkien. The application will be write sentences in different languages by simbols of tengwar. -
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MangaED is a universal program for manga translators. It consists of text processor, image viewer, dictionary and kanji finder
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Top-Rated Free CRM SoftwareHubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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Uno Por Todos
A software to create text and images collectively.
This project is a experiment to analyse the collective intelligence. The experiment works in the construction of text and images collectively. In the case of a text, each user receives the N lines above and bellow of your text. These N lines are being written by another users. The case of a image is analog to the text experiment. In this case, each user receives a square to draw while it can see other 8 adjacents squares which are being painted by other users. This project was present...
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