用GameLoop模拟器在電腦上玩Scan Image To Text OCR

Scan Image To Text OCR 電腦版

來自發行商 Merizek Works 的 Scan Image To Text OCR 能夠在安卓系統上運行。

現在，您可以在電腦上使用 GameLoop 模擬器流暢地玩 Scan Image To Text OCR。

在 GameLoop 遊戲庫或搜索結果中下載。 不需要再暢玩遊戲時盯著電池電量或被令人懊惱的來電打斷。

只需在電腦大屏幕上免費下載暢玩Scan Image To Text OCR 電腦版！

Scan Image To Text OCR 簡介

Please Note that we made this app to scan and transcribe texts in signboards, posters, flyers, banner, text-images, gift-cards, post-cards etc into Simple, Pure and applied texts only.

Scan-Image-To-Text App is the most accurate and concise optical character recognition(OCR), which detect texts from images that has image characters embedded in them. All you need to do is very simple, Click on the image scanner icon on the action bar, then take image from gallery or directly from camera, crop to the text area and then copy to either notepad, wordpad, ms-word, pdf etc. This App provides more convenience to users by allowing them to simply take photos of text and transform into editable texts, rather than to spend extra effort to transcribe texts with keyboard.

Application Features

✔ Image to Text Converter

✔ OCR Offline ever ready

✔ Document Scanner

✔ OCR to Word

✔ Crop an Image before converting to Text for best result

✔ Copy to Clipboard enabled

✔ Transform Text from Camera Capture Image or Gallery

✔ Text grabber

How To Use App

1. Launch the App.

2. Click the scanner icon on the tool/action app bar.

3. Allow permission to access images, photos, and camera in your phone’s media.

4. Select/Choose either camera or gallery.

5. (i) From camera: take a snapshot of text.

(ii) From Gallery: Choose any image/photo that has some text in it.

6. Drag the contour to the required text area/field in the photo.

7. Then, click on the crop icon on the tool/action bar.

8. From here you can highlight the transcribed text, copy and paste to Ms word etc; you can share the transcribed text through WhatsApp messenger, bluetooth, text messaging, Email, Twitter, etc; You can convert the transcribed text to pdf; you can save the transcribed text to GoogleDrive; etc etc