HushSnap OCR
A lightweight, privacy-focused Windows tool for offline OCR and screen capture with seamless drag-and-drop workflow.
Cost / License
- Free
- Open Source (Apache-2.0)
Platforms
- Windows
Features
Properties
- Privacy focused
Features
- Works Offline
- OCR
- No registration required
HushSnap OCR News & Activities
Recent activities
tcita added HushSnap OCR as alternative to Open Scanner- tcita updated HushSnap OCR
tcita added HushSnap OCR as alternative to Capture2text
tcita added HushSnap OCR as alternative to RapidOCR
tcita added HushSnap OCR as alternative to GImageReader and Screenshot Captor
tcita added HushSnap OCR as alternative to Snipaste and FreeOCR- tcita rated HushSnap OCR
- tcita liked HushSnap OCR
tcita added HushSnap OCR as alternative to PicPick
tcita added HushSnap OCR as alternative to ShareX and Greenshot
HushSnap OCR information
Developed by
tcitaLicensing
Open Source (Apache-2.0) and Free product.Written in
Alternatives
11 alternatives listedSupported Languages
- English
- Chinese
- Japanese
AlternativeTo Categories
Office & Productivity, Photos & GraphicsGitHub repository
- 1 Stars
- 0 Forks
- 0 Open Issues
- Updated
What is HushSnap OCR?
HushSnap is an offline screenshot OCR tool — lightweight, local, no data uploaded. Press Alt+Q, select an area, and the screenshot is done.
After capturing, a floating thumbnail slides in from the bottom right:
·Click the thumbnail ? OCR recognizes the text in the image; results are editable and copyable. ·Right-click the thumbnail ? Pin image (stick the screenshot on screen), view image, save to desktop, save as. ·Hover the mouse ? pin and close buttons appear on the thumbnail for one-click actions. ·Drag the thumbnail ? drop it directly into a chat window, browser, or folder to save the image. ·If left untouched, the thumbnail automatically disappears after a while (duration adjustable in settings). Runs persistently in the system tray; right-click the tray icon to access settings. Hotkeys are customizable.
*Supports interface and text recognition in Simplified Chinese, Traditional Chinese, English, and Japanese. Simplified/Traditional Chinese and English have been verified to work well; Japanese is officially supported, with accuracy pending further real-world feedback. Other languages may have limited results.
