Text Scanner: Image To Text AI

Name: Text Scanner: Image To Text AI
Author: Hoang Le

iOS app by Hoang Le. Productivity · Hoang Le

Store rating: 0 / 5
Store rating count: 0
Download price: Free to download
In-app purchases: Unknown
Version: 1.1
Listing last refreshed: 2026-09-12

Store description excerpt

Open the app, snap a picture or upload from your gallery, and instantly convert it into editable text with AI-powered OCR. No confusing menus, no waiting — just instant, accurate text extraction. Designed for simplicity and speed, this app is perfect for students, professionals, or anyone who needs text from images quickly and easily. - Instant Scan & OCR – Start scanning or uploading images in under 1 second. - High-Accuracy OCR – Extract text from images, photos, and PDFs with 99%+ accuracy. - Image to Text Converter – Quickly convert images, screenshots, or scanned documents into editable text. - AI Text Recognition – Let AI summarize, translate, or analyze your scanned text instantly. - Multi-Language Support – Recognizes text in over 100 languages. - Handwriting to Text – Extract text from handwritten notes effortlessly. - Offline Mode – Perform Latin-script OCR without internet for privacy and convenience. - Edit, Copy & Share – Edit extracted text, copy to clipboard, or share via email, chat, or cloud apps. - Smart Text Detection – Auto-detects text columns, cleans images, and straightens text lines for perfect results. Why Choose Us? - Fastest scanning experience – scan documents instantly in under 1 second. - Simple and intuitive design – open the app and scan; no complicated menus. - AI-powered OCR – ensures high accuracy, even for complex documents. - Privacy-first – images are processed securely offline on your phone. Scan documents, notes, screenshots, invoices, receipts, or any image with text. Extract it, edit it, share it — it’s that easy! Download Text Scanner: Image to Text AI now and start scanning text from images in seconds. Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

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