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QRHandle
QR code render for IPFS
QR Code Generator (By Compzets.com)
Portable QR-Code Generator
Zint Barcode Generator
Offline QR Code Generator
The QR Code Generator
Barcoder
Capture2text
TextSniper
Easy Screen OCR
dpScreenOCR
Textify
Tesseract
KanjiTomo
ABBYY Screenshot Reader
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Based on our record, Capture2text seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If you seek something simple, non-commandline, easy to use and with a GUI, then Capture2Text is the best I know so far. Source: over 2 years ago
Capture2Text is FOSS. It uses Tesseract as it's OCR engine, which is great as you can use different language data files to find the one that is the most accurate for your purposes. Source: over 2 years ago
Capture2Text is the simplest solution and it works surprisingly well with the Cold Steel/Hajimari text boxes... Once it runs in the background press a previously assigned hotkey and select the area on the screen to be captured. I recommend deactivating its popup window, you just want the text to be copied into the clipboard. Source: almost 3 years ago
You should have a look at Capture2Text and ShareX. They offer OCR translation (ShareX links to google translator in your browser, when you do OCR Translation, I think). Source: about 3 years ago
QR code render for IPFS - Generator of QR codes based on the distributed network IPFS
TextSniper - Instantly extract any text from your Mac's screen
QR Code Generator (By Compzets.com) - This is an online web application for generating QR Codes for free.
Easy Screen OCR - Easy Screen OCR helps users capture screenshot and grab text from images.
Portable QR-Code Generator - Mit dem Portable QR-Code Generator erstellen Sie auf Ihrem Rechner offline kostenlos QR Codes aus WLAN-Einstellungen (WiFi-Codes), e-Mail Adressen, URLs, VCards und Freitext.
dpScreenOCR - Program to recognize text on screen