TextSniper is an amazing application I found in Apple
Non-Copy Copy . TextSniper, as the name implies, allows you to copy text anywhere: in photos, PDFs, screenshots, websites, videos, online presentations, scanned paper documents or apps. In fact, the app developer TextSniper created it because it could not copy the URL shown in the video on YouTube. The application is simple and easy to use. No special skills required.
With OCR capabilities you can easily pick up and detect "any unwanted and editable text" on your device. The OCR method does not even require an Internet connection to process the document. How does it work in the East? After installing the application, use the mouse to select the location of the text on the image or screen and
TextSniper will instantly recognize it and place it on the clipboard. You can then post it to your document or anywhere. This is definitely a great way to scan a text that you can't even scan.
There are many ways to use
TextSniper . These include translating various image formats (eg JPEG, PNG, GIF, TIFF, BMP ...) into text; Copying text, although it cannot be copied, for example in e-books or web articles; Insert text or video into video games, read QR codes or barcodes. Create alternatives to screenshots and more from screenshots.
Regarding the features it offers. These include:
- "OCR technology on the device. No internet connection required.
- Instant text recognition. It is not necessary to upload files to the application. Document or OCR file "on the fly".
- High accuracy and performance to process all documents.
- He knows even the smallest text in images of poor quality or thick background.
- Adaptable. Custom keyboard shortcuts to print text with different settings.
- You can make TextSniper recognizable text whenever you want.
- Supports OCR in multiple languages: Popular English, Spanish, French, German, Portuguese, Italian, Traditional and Simplified Chinese.
- Only Max English with MacOS Catalina is supported.
- Use an iPad or iPhone camera to quickly capture text from a photo or scanned document.
- Fully compatible with MacOS Big Sur and optimized for Apple M1 chips.
Comments
Post a Comment