qhocr Alternatives
qhocr is described as 'free Hebrew OCR (optical character recognition) application based on the hocr c/c++ library by Kobi Zamir. The aim of this project is to develop a fully open-source and free OCR (or hebrew definition) application, aimed for an end-user' and is an app in the Office & Productivity category. There are eight alternatives to qhocr for iPhone, Mac, Windows and Android. The best alternative is TextGrabber. It's not free, so if you're looking for a free alternative, you could try PDFify or Prizmo. Other great apps like qhocr are ZoomReader (Free), Image To Text (Free), Smart Scanner (Paid) and TextDetective (Paid).
- ABBYY TextGrabber easily and quickly scans, translates and saves your chosen text or QR-codes from virtually any printed material.
- Automatic text recognition (OCR) created searchable and paged PDF out your images and scans. Use your scanner or camera to add new pages to PDF documents. Drag emails or webpages on PDFify to create paged PDF files which are perfect for app store invoices.
- Prizmo 3 is a scanning application with Optical Character Recognition (OCR) in 25 languages with powerful editing capabilities, text-to-speech, iCloud support, and translation into 59 languages.
- In combination with your iOS device's built-in camera, ZoomReader lets you magnify and read printed text by first taking a picture of an object like a book or menu, then converts the image into text using state-of-the-art Optical Character Recognition (OCR) technology.
- ImageToText app allows you to extract editable ASCII text from images, and share the results by EMAIL or EVERNOTE.
- 48h sale! Just take a photo of a text with phone number, e-mail address or URL and immediately call, write e-mail or open URL in Safari. Or just scan and OCR any text.
- Text Detective finds and reads text in printed documents within seconds using your iPhone’s camera. The detected text can easily be read, edited, copied and pasted into documents, emails or other apps.
- Recognize and save text in images and PDF files with ASCOMP Text-R. The problem: PDF files and images from a scanned paper document contain text that cannot be copied or edited. However, manual typing is not possible due to the size of the document and the high time involved.