Perfect OCR 2.4.3

Perfect OCR 2.4.3

Piksoft Inc.  ❘ Kommerziell
iOS
bei 116 Bewertungen
Neueste Version
2.4.3
Sicher installierbar
HERVORRAGEND Nutzerbewertung

Perfect OCR offers an accurate general purpose OCR app and a high-quality document scanner, providing users with the ability to scan and OCR letter-size or A4 documents with an accuracy of 90% or higher. The recognized text can be edited, copied, and stored, and documents can be emailed as PDF files with text, single page image, or both.

Please note that in order to achieve the advertised results, it is important to follow the OCR tips provided below or in the app's help section.

"It worked great for me! I translated a whole story in Spanish using the Español language preference and then I copied and pasted it into a translator to get the whole story in English!"

"This app is really very good and I find it to be very accurate!" - Perfect OCR users.

Perfect OCR utilizes advanced image-processing algorithms to eliminate uneven lighting, shadows, and improve contrast when scanning documents. This results in clear and readable scans taken from the iPhone's camera. The app also includes SureScan, a proprietary scanning mode that delivers sharper images with minimal jitter or smear.

One of the unique features offered by Perfect OCR is the "Email to myself" option, which allows users to easily send documents to a predefined email address or upload them to online storage services like Evernote or Box.net with just one tap. Uploading documents via email is fast, secure, and can be done even when offline. For more details, refer to the app's help section.

All document processing takes place on your iPhone, ensuring the confidentiality of your data. There are no subscription fees, and internet access is not required for scanning documents or running OCR.

  • Letter-size or A4 page OCR with accuracy rates of 95% for model 3GS, 98% for iPhone 4, and up to 90% for 3G.
  • OCR languages: English, French, Spanish, German, Dutch, Italian, Portuguese, Swedish, Russian, Polish, Hungarian, Czech, and Ukrainian.
  • Email multipage PDFs with text, single page image, or both
  • Automatic document edge detection and perspective correction
  • Multipage text recognition with accuracy indicator
  • Text editing and copy-to-clipboard operations
  • Built-in OCR text archive with file sharing via iTunes
  • "Email to myself" feature
  • Email text and image files (.TXT + .JPG), or save image to library
  • Searchable PDFs with document images (single page)
  • Preserves simple text formatting
  • Option to auto-remove line breaks
  • SureScan mode for jitter-free scans
  • Simple yet powerful user interface
  • Instant brightness, rotation, and color controls
  • Compact attachments with adjustable size

Important tips for optimizing OCR accuracy:

  • Ensure the document is flat and well lit. Hold your iPhone still while capturing the image.
  • Always use the "SureScan 3x" mode when scanning documents.
  • Glossy paper may not produce optimal results due to glare.
  • When scanning books, keep the pages as flat as possible and ensure your iPhone is parallel to the surface.

Note that Perfect OCR is unable to accurately recognize handwritten, very large text, or spreadsheets. Therefore, it is important to select the appropriate language for OCR in the app's settings.

We constantly strive to improve Perfect OCR and greatly appreciate our customers' opinions and feedback. For any issues with our software, please contact us at [email protected] before leaving a comment on the app store. While we are able to address most problems, we are unable to respond to comments directly.

Übersicht

Perfect OCR ist eine Kommerziell-Software aus der Kategorie Office & Business, die von Piksoft Inc. entwickelt wird.

Die neueste Version von Perfect OCR ist 2.4.3, veröffentlicht am 05.01.2024. Das Programm wurde am 05.01.2024 erstmals in unsere Datenbank aufgenommen.

Perfect OCR läuft auf folgenden Betriebssystemen: iOS.

Die Nutzer von Perfect OCR haben eine Bewertung von 5 von 5 Sternen vergeben.

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