Asprise Java OCR SDK for Linux OS (Red Hat Enterprise Linux/CentOS, Debian, Ubuntu) 32-bit/64-bit: Asprise Java OCR SDK for Mac OS X (Yosemite, Mavericks, Mountain Lion, Snow Leopard) Asprise Java OCR SDK for IBM AIX.

1. Use it to grab and recognize text from images, videos, PDFs, online meetings, slides, screencasts, pictures, web pages, video tutorials, photos, e-books, etc.

• Easy Screen OCR for Mac can help users to capture the screenshot and extract uncopiable text from images on Mac. Stop retyping, just drag your mouse cursor and OCR images like a pro! Just drag your mouse cursor to take a snapshot, then click OCR button. Wait for a second, you will get editable and copiable text grabbed from the picture.
• Other, once-popular Mac-based OCR solutions have fallen by the wayside:. OmniPage Pro X has not been updated for Panther or Tiger, so it is not a viable solution. While it will work, it has problems, hence why I do not consider it 'viable.'. ABBYY FineReader has not been ported to Mac OS X: it is only available for Windows.

2. Even though your language is not on this list, don't worry! If your language has common characters, even accented ones, with the ones listed above, TextSniper will recognize such language with high accuracy.

3. • You can have TextSniper speak the recognized text whenever you need it.

4. TextSniper is a super useful OCR app that helps instantly capture any text from your Mac's screen.

Features and Description

Key Features

Latest Version: 1.7.0

Licence: $9.99

What does TextSniper - OCR simplified do? TextSniper is an easy-to-use desktop Mac OCR app that can extract and recognize any non-searchable and non-editable text on your Mac's screen. As an extra feature, it can turn OCR text into speech. It is a super convenient alternative to complicated optical character recognition tools.The tool is intuitive to use and makes extracting text from your images, scanned paper documents, PDFs, or even videos easy. No training or special skills required, fits perfectly home and business mac users. Easily accessible from the menu bar whenever you need it and has a simple user interface. If you ever have used a built-in mac's screen capture application before, then it wouldn't be any trouble to work with TextSniper too. Select with a mouse any part of an image, photo, PDF document, or anything on your screen, and the app will process and recognize any text within this selection. The text output will be saved into a clipboard, so you could paste it into your favorite macOS text editing or note-taking software. Finally, the app's optical character recognition engine doesn't need an internet connection to process documents. Great OCR solution for those who are concerned about privacy. The application does not collect any users' data.Use Cases:• Convert different image formats to text (JPEG, PNG, GIF, TIFF, BMP, etc...).• Pull text from a non-searchable PDF file without a need to process the whole document.• Read text from images, PDF documents, photos, Zoom meetings, or any other sources.• Copy text even when it is uncopiable like in ebooks or web articles.• Quickly extract emails, links, phone numbers, etc.• Grab text or turn it into speech in video games.• Read QR or barcodes.• Quickly generate alt text from the screenshot for tweets.Features:• On-device OCR technology. No internet connection is needed.• Instant text recognition. No need to upload files into the application. OCR document or file on the fly.• High accuracy and performance processing any documents.• Recognizes even tiny text on images with low quality or dense background.• Customizable. Custom keyboard shortcuts to extract text with various options.• You can have TextSniper speak the recognized text whenever you need it.• Supports optical character recognition in multiple languages: English, Spanish, French, German, Portuguese, Italian, Traditional and Simplified Chinese. • Running macOS Catalina: English language only supported.• Use your iPad or iPhone device camera to quickly capture text from a photo or scanned document.• Fully compatible with macOS Big Sur and optimised for Apple's M1 chips.

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