Image2Text on device OCR 1.2.3

This application offers robust capabilities for extracting plain text from a variety of sources, including images (JPEG, PNG, GIF, TIFF, BMP, HEIC) and PDF files. Notably, the on-device text recognition feature enhances user privacy and functions without an internet connection. The app adeptly approximates text layout based on its original placement, maintaining key formatting elements such as indentation and removing unnecessary soft wraps.

A significant advantage is the automatic detection of relevant data, such as email addresses, phone numbers, web links, and street addresses, which enables seamless access to relevant applications with a single tap. Furthermore, an integrated text editor provides users with the opportunity to revise the recognized text prior to export. The application is compatible with iOS, iPadOS, and macOS platforms.

Step 1: Input Methods

• Select a photo from the Photos app.
• Choose one or more files via the Files app in iOS/iPadOS or a Finder-like browser on macOS.
• Utilize the camera to capture one or more images while automatically detecting document borders for cropping.
• On macOS and iPadOS, employ drag and drop functionality from other applications.
• Access the app directly when opening mail attachments or sharing data from Safari, Photos, Files, or cloud storage apps.
• Retrieve previously saved files from the local archive of this application.
• Paste images directly from the clipboard.

Step 2: Customization Options

• Utilize default settings for a straightforward experience or configure options such as indentation preservation, handling of soft wraps (insertion of artificial line breaks), and maximum blank lines.
• Manage multi-page and multi-file documents with options for header/footer removal and adjustment of blank lines per page break.
• Select whether to save inputs, outputs, or both.
• Specify a filename for saving or exporting the text output.
• View text in either detecting or editing mode based on user preference.

Step 3: Reviewing Recognized Text

The application facilitates text review on iOS/iPadOS with two-finger pinches to adjust font size. On macOS, users can utilize zoom buttons or trackpad gestures. Notably, portrait mode on iPhones results in smaller fonts compared to landscape orientation.

In data-detecting mode, actionable information is highlighted automatically:

• Selecting an email address prompts the Mail app to open.
• Tapping a phone number activates the Phone app.
• Selecting a web link directs users to Safari.
• Tapping a street address launches the Maps app.

Editing mode allows users to modify text using standard keyboard inputs and editing gestures such as copy/paste and undo/redo functions.

Step 4: Distribution of Recognized Text

The standard share button enables users to share via AirDrop, iMessage, email, cloud storage services, social media posts, printing options, or copying to other applications supporting plain text files. For macOS users, an export button allows for saving files in any desired location through a Finder-like interface. The application also supports text-to-speech functionality when enabled in Accessibility Settings.

The current version specializes in recognizing primarily printed English text displayed upright and exhibits diminished accuracy with handwritten inputs.

This app offers auto-renewable subscriptions granting full access to all features. A complimentary introductory trial period is available before any billing occurs. Further information can be found in the terms of use at the official website. The application supports universal purchase; thus a single subscription covers usage across Mac, iPhone, iPad, and iPod touch devices.

Importantly, an internet connection is not required for standard functionality; it is only necessary initially and once per subscription period for validation purposes from the App Store.