OCR.net

Q: お住まいの国では利用できないOCR.netをダウンロードしたい時にはどうすればいい？

<a href="https://apkpure.com/howto/how-to-download-an-iphone-app-if-it-is-not-available-in-your-country">ここ</a>をクリック！地理的に制限されているアプリのダウンロード方法をご参考ください。

Q: OCR.netを実行するための最小システム要件は何？

次のリストをチェックして、OCR.netの最低システム要件をご確認ください。<br/><ul><li>iPhone-</li><li>iPad-</li></ul>

無料

1.01for iPhone, iPad

Web Lite Solutions Corp.

Developer

2016年10月21日

Update Date

Productivity

Category

App Store APKPure

Age Rating

Apps in this category do not contain restricted content.

Apps in this category may contain mild or occasional cartoon, fantasy or real-life violence, as well as occasional or mild adult, sexually suggestive or horrifying content and may not be suitable for children under 9 years of age.

12+

Apps in this category may contain occasional mild indecent language, frequent or intense cartoon or real-life violence, minor or occasional adult or sexually suggestive material, and simulated gambling, and may be for children under 12 years of age.

17+

You must be at least 17 years old to access this App.

Apps in this category may contain frequent and intense offensive language; Frequent and intense cartoon, fantasy or realistic violence: frequent and intense adult, scary and sexually suggestive subjects: as well as sexual content, nudity, tobacco, alcohol and drugs, may not be suitable for children under 17 years of age.

OCR.net スクリーンショット

iPad

iPhone

About OCR.net

Converts images and scanned PDFs into editable text or searchable PDF.

This is a native iOS client for the OCR.net web service. This allows you to perform OCR (optical character recognition) on images or scanned PDFs to produce editable text or searchable PDFs. Supports dozens of languages including English, Spanish, Chinese, Japanese, German, and French.
This app provides a sleek and simple interface. Select a file from your device, or capture a photo of a document and extract the text from it. It registers as a viewer for PDFs and images so that you can also send files directly from your downloads folder or preferred image viewer to the OCR.net for conversion.

OCR is performed on the OCR.net server using fast and accurate recognition.