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English Thai Camera Dictionary

English Thai Camera Dictionary

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v2.91 by Sonny Lai

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English Thai Camera Dictionary

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English Thai Camera Dictionaryの詳細

Sonny Laiからリリースされた『English Thai Camera Dictionary』は書籍＆参考書アプリだ。apkfab.com/jpから『English Thai Camera Dictionary』のファイルサイズ(APKサイズ)：11 MB、関連ムービー、pv、スクリーンショット、詳細情報などを確認できる。apkfab.com/jpではSonny Laiより配信したアプリを簡単に検索して見つけることができる。『English Thai Camera Dictionary』に似ているアプリや類似アプリは39個を見つける。現在、English Thai Camera Dictionary appのダウンロードも基本プレイも無料だ。『English Thai Camera Dictionary』のAndroid要件はAndroid 3.0+なので、ご注意ください。APKFabあるいはGooglePlayから『English Thai Camera Dictionary apk』の最新バージョンを高速、安全にダウンロードできる。APKFab.com/jpでは全てのAPK/XAPKファイルがオリジナルなものなので、高速、安全にダウンロードできる。

The English Thai Dictionary is easy dictionary, it covers over 60,000 words and phrases
Bring new experience to mobile user
Feature:
- Offline dictionary
- Camera Dictionary:
+ Recognize word text from the camera of your phone and provide online translation (Faster and Easier than Ever before)
+ no need to input text or capture text. It will recognize text and pharse automatically and translate English to Thai.
- Voice and Text Dict: support voice and text searching
How to user Camera Dictionary:
- Click on the Camera icon in the Action Bar.
- The camera screen will be activated with a lighting rectangle box, move your phone and make sure words will be inside the lighting rectangle box. The word detection progress will continuously run and show all possible meanings of searching items that captured by the camera screen.
Once you see the words you are searching for and you want to pause the camera\'s scanning progress, click on the lighting regtangle box.
- The program will pop up a notice for "Pause scanning" and stop scanning words.
- You can resume by re-clicking the rectangle box, it will show the notice Resume scanning and continue the searching.
TIP:
- Wait for Camera auto focus or you can swipe from left to right (in rectange) to trigger the camera auto focus
- Under certain angles light sources can creat a Glossy reflection. And this can create issues with camera recognition.
- Work well in normal condition (enough light condition)