Recognize Characters on Screenshot
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Recognize Characters on Screenshot
Effortlessly recognize characters in screenshots on Windows 10
Trusted by Millions Worldwide
4.4
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4.4
8,200+ reviews on Capterra
4.4
73,000+ reviews on App Store
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Frequently Asked Questions
It recognizes and extracts text from screenshots using OCR technology, allowing you to convert images of text into editable formats.
Capture a screenshot and use the tool to upload the image. The OCR function will recognize and extract any text from the screenshot for further use.
Yes, the tool can extract any text, including humorous or unique symbols present in desktop pictures or programming images.
Simply navigate to your screenshots folder, upload the desired image, and the tool will process it to extract the text effectively.
Yes, take a screenshot using shortcuts like ‘Win + Shift + S’ and then upload it to the tool for text recognition and extraction.
The tool utilizes robust OCR capabilities to identify and convert even complex symbols or 'ghost text' into a usable format.
Yes, the maximum file size for uploads is 100 MB. If your file exceeds this, you might need to reduce its size before processing.
No, multiple text inputs must be processed individually as the tool cannot process multiple screenshots simultaneously.
For large audio/video files, the limit is 60 minutes, but image files like screenshots are processed based on size, not duration.
Yes, the tool supports multiple image formats including JPG, PNG, and GIF, enabling text extraction from a variety of sources.
No, the OCR functionality requires an internet connection to operate as it processes images via the online tool.
You cannot edit the recognized text directly in the tool. You must copy it to a text editor for any adjustments or corrections.
Absolutely, it can process and extract text or symbols from programming images, capturing the intended humor or details.
You can upload images with various symbols from your PC, and the OCR will uniformly process them for recognition.
The tool focuses on text recognition without altering styles, maintaining the original text accuracy and format as extracted.