Apps Like iText - OCR & Translator for iPhone and iPad
iText - OCR & Translator screenshots
Ranked alternatives
Showing 121–140 of 1,000 ranked alternatives.



Translator - Translate Text and Speech
Big Blue Clip, LLC
Between 100+ languages
Between over 100 languages. Use voice playback to hear translations. Save favorite translations for quick access. Copy translated to clipboard or include in emails and messages. Compatible with iPhone, iPod Touch, and iPad.


Perfect OCR
Piksoft Inc.
Scan, OCR, edit, and email documents
Perform OCR on scanned documents to extract and edit text. Save recognized text for copying or storing. Email documents as PDF with text, single page image, or both. Scan letter-size or A4 pages for accurate results.

Ai Translator Live Translate
Keyurbhai Tavethiya
Text, voice, and photos in real time
Text between 113+ languages by typing or pasting. Speak and in real-time with speech-to-speech conversion. images by capturing text with the camera.



Voice Translator - Live Talk
Ajay Gorasiya
Translate text and voice between
Translate spoken words in real time between . Support voice-to-voice conversations and text translation in over 60 . Provide instant translations without delay.

Text Scan - Text OCR
Microstone Inc.
Images and extract
Recognize from images with high accuracy. Support 55+ languages including Chinese, English, and Arabic. Copy , save as file, or share directly. Adjust image brightness for better recognition.


PDF To Word: PDF Editor
Parsottambhai Dhameliya
Convert and save files
Convert PDF files to Word documents with OCR text recognition. Edit and compress PDFs. Merge multiple PDFs. Save converted files in a dedicated section. Share converted Word files directly.

Camera Translator Photo
AppFabric LLC
Translate text with or gallery
Translate text by pointing at it or selecting images from gallery. Support over 50 languages including Chinese, Korean, and Japanese. Perform one-click translations and view translation history.




How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.