Apps Like OCR Arabic Word for iPhone and iPad
OCR Arabic Word screenshots
Ranked alternatives
Showing 321–340 of 1,000 ranked alternatives.


汉字手写识别 - 文字全能识别扫描
艳 徐
Recognize handwritten text from images
Recognize handwritten Chinese text in images and export as editable text. Support for detecting and converting messy, unclear, or潦草 handwriting. Includes text editing, copying, saving, and sharing features.


Arabic Essentials
Renkara Media Group, Inc.
Understand and pronounce words quickly.
The app helps users understand and pronounce words with native speaker audio. It includes a searchable dictionary, flashcards, and quizzes to aid memorization and track progress.




Russian Dictionary Offline
Piyush Parsaniya
Look up words
Learn with a containing over 104,000 English words and their translations. Access definitions without an internet connection. Take multiple-choice quizzes to test and improve language skills.


Picky AI: Scan & Translate
Hung Dang Cong
Objects, learn words, create flashcards
Objects to learn vocabulary in your target language. Generate flashcards from scanned items for review. Schedule reviews to improve retention. Turn everyday surroundings into a learning tool.




Lingua AI Translator
Oscar Suazo
Translate text, speak, and understand languages
Translate text, speech, images, and PDF documents using AI-powered neural translation. Speak translated text aloud. Understand 100+ languages. Translate camera images and documents instantly.


Old Japanese Clock Lite
Takafumi AMANO
Read Japanese historical documents easily.
The app displays the Temporeki clock, a temporal hour system used in late Edo era Japan. It is useful for reading historical documents and adjusting Japanese clocks.




Maani Chinese - Arabic Dict
Xi'an New Moon Software Co., Ltd.
Translate text between and
Translate to and vice versa using built-in dictionaries. Use OCR to recognize text in , , or English. Listen to pronunciation with audio support. Search for words and view detailed definitions and examples.
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Apps are ranked by functional similarity, category fit, rating confidence, and popularity.