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Scanned PDF to Word

Scanned PDF to Word

by Cometdocs.com Inc.

25 ratings
6 reviews
💼 Business
📊 Productivity

Archived App

This is an archived listing of the app previously available on the App Store.

Although the app is no longer distributed by Apple, you can still view its description, screenshots, version history, ratings, and metadata for reference.

Details

  • Released
  • Updated
  • August 21, 2014
  • November 1, 2014

Features

Developer

Cometdocs.com Inc.
✨Promote your app ✨
Scanned PDF to Word screenshot #1 for iPhone
Scanned PDF to Word screenshot #2 for iPhone
iphone
ipad
🧾$9.99
In-App Purchase↘︎
⭐6
Reviews↘︎
🔄6+ apps
Alternatives↘︎
❓8 answered
FAQ↘︎
📦w/o updates
Updates frequency↘︎
🖼️Get Icon
Icons↘︎

About

This app uses advanced OCR technology to convert scanned PDF documents into editable Word files. It automatically extracts text and numbers from image-based PDFs, offering excellent recognition quality without file size or conversion limits. The converted .docx files are downloaded directly to your device.

✓OCR technology for scanned documents
✓Convert PDFs to .docx format
✓Automatic conversion process
✓No limits on file size or conversions
✓Excellent recognition and conversion quality
✓Fast and resource-efficient
Show original description

What's New in Scanned PDF to Word

2.4

November 1, 2014

This app has been updated by Apple to display the Apple Watch app icon. - New interface - New in-app help - Various improvements

More
1

In-App Purchases

$9.99

Lifetime of Immediate Conversions

Get your files converted without waiting in the conversion queue.

User reviews

Most RecentHighest RatedLowest Rated

Thankfull for app

Thanks for free version
jawanewjawanew

Really Works

Probably not for lots of scanning....however, I was able to take a picture using my iPhone and load the image (several steps) into this app and presto (1 hour later ) I got a .doc file which loads perfectly into Word. No five star because of the wait time.
Elwood3933Elwood3933

a little slow

slow
JCV1023JCV1023

This App actually does what it says

Yes,it works flawlessly. No problems.
TimothybaandiTimothybaandi

Something is up

24 hrs later, still no converted file
How is this has less than 4 stars yet when looking at all versions it only posts 1 review at 5 stars
nicnam_taknnicnam_takn

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FAQ

What is Scanned PDF to Word?

Scanned PDF to Word is a mobile application designed to convert scanned PDF documents into editable Microsoft Word (.docx) files. It utilizes Optical Character Recognition (OCR) technology to extract text and numbers from image-based PDFs.

How does Scanned PDF to Word convert scanned documents?

The app employs advanced OCR technology to recognize and extract text and numbers from scanned images within PDF files. Once a PDF is opened in the app, the conversion process begins automatically.

Are there any limitations on file size or the number of conversions with Scanned PDF to Word?

No, Scanned PDF to Word offers no limits on file size or the number of conversions you can perform. This allows for unlimited use without restrictions.

What file format does Scanned PDF to Word produce?

The converted documents are saved in the .docx format, which is compatible with Microsoft Word and other word processing software. This ensures easy editing and integration into your workflow.

Does Scanned PDF to Word support converting images with graphical data?

No, Scanned PDF to Word is designed to convert only text and numbers. Images with graphical data are not converted; the focus is on extracting textual information.

What devices is Scanned PDF to Word compatible with?

Scanned PDF to Word is available for iPhone, iPad, and iPod devices. It is designed for the iOS ecosystem.

How often is Scanned PDF to Word updated?

The latest version available is 2.4, which was last updated on November 1, 2014. The app was initially released on August 21, 2014.

What is the user rating for Scanned PDF to Word?

Scanned PDF to Word has a user rating of 3.6 stars based on 25 ratings. This indicates a generally positive but mixed reception from users.