Photo to Text Recognition vs SmoothOCR Kullanım & İstatistikleri
This application dramatically streamlines document management in daily life and business.
Camera capture function: Text information can be extracted from documents captured with a camera.
Selection from photo library: If you have already taken photos or scanned documents, you can select them directly from your photo library for text recognition. This allows you to digitize the documents you need anytime, anywhere.
Multilingual character recognition: Multiple languages are supported, including English, Japanese, Chinese, and French, allowing you to select the language of the document to be used for more accurate character recognition. It is ideal for use in global business situations, study abroad, and travel.
Document management with history function: Recognized documents are saved as history in the app, making it easy to view and reuse previously scanned documents. You can keep important information close at hand at all times.
- Apple App Store
- BOŞTA
- Üretkenlik
Mağaza Sıralaması
- -
This is an app that can convert characters shown on the camera into text.
Features
・Continuous scanning is possible for the time being
・Can manage multiple pages at once
・Simple UI
·Multilingual
・Supports Japanese vertical writing
Supported functions
・Text edit
・txt file output
・Data synchronization between devices using iCloud
Terms of service:
https://note.com/wakaba_dev/n/nf2c276e954bc
Tutorial:
https://note.com/wakaba_dev/n/nc1cf9dd8b1a9
- Apple App Store
- Ücretliler
- Üretkenlik
Mağaza Sıralaması
- -
Photo to Text Recognition ile SmoothOCR için sıralama karşılaştırması
Son 28 gündeki Photo to Text Recognition sıralama trendini SmoothOCRile karşılaştırın
Rank
Mevcut veri yok
Photo to Text Recognition vs. SmoothOCR ülke karşılaştırmasına göre sıralama
Son 28 gündeki Photo to Text Recognition sıralama trendini SmoothOCRile karşılaştırın
Gösterilecek bilgi yok
Ücretsiz deneme sürümümüzü kullanarak istediğiniz siteyle karşılaştırın
Photo to Text Recognition VS.
SmoothOCR
Aralık 19, 2024