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EasyScan: PDF Scanner & OCR

by PIXELNETICA DOO more by this developer →

Ratings
1
Rating
4.0 · 1 ratings
Version
3.0.2
Last updated 08/01/2026

#573,563 of 726,653 by ratings on Apple · #27,633 of 36,472 in Productivity

First seen by this census 09/05/2026 — the store does not publish a creation date

Last updated 08/01/2026

Tracked since 09/05/2026

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Category: Productivity

Description

EasyScan scans one document page at a time with the camera, corrects the perspective and image quality, and exports the result as a PDF, TIFF, PNG, JPEG, or plain-text file. It is also the demo app for Pixelnetica's Document Scanning SDK (DSSDK) and shows the SDK working in a real app.

Capture
The camera shows a live edge overlay and captures automatically when it detects a steady, well-framed page. A manual shutter, tap-to-focus, and torch are on the capture screen. You can also bring in one photo at a time from your library and process it the same way.

Editing
Adjust the detected corners, crop, correct the perspective, deskew, and rotate the page. Choose the output mode: Original, Color, Grayscale, or Black & White.

Export
- PDF, with five compression presets from Lossless to Extreme.
- Searchable PDF: recognized text is embedded as a real text layer you can search and copy.
- TIFF (G4), PNG, JPEG, and plain text (TXT).
Files are shared through the standard iOS share sheet, or opened from the Files app.

Text recognition (OCR)
Text recognition runs on the device. After a scan, the recognized text opens in an editable view for correction before you export it. A language picker sets the recognition language; language packs download when you first select one. Offline text-orientation detection is included and needs no download.

On-device processing
Scanning, image processing, and text recognition run on your device. No account or sign-in is required. Language packs are downloaded only when you choose to add one.

Document Scanning SDK
EasyScan is built on Pixelnetica's DSSDK and demonstrates its edge detection, perspective correction, deskew, color processing, and on-device OCR. Developers can find documentation through the link on this page, and the app's complete source code is published as a sample on GitHub: https://github.com/Pixelnetica/apple-ios-pdf-ocr-document-scanner

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Growth

Change in ratings, scaled to each window from the real gap between crawls. A window needs a full period of history before it reports anything.

Per Growth Growth % Actual change Measured over
day Not enough history yet
week 0 0 12.8 days
month Not enough history yet
year Not enough history yet

History

Tracking since 09/05/2026. History accumulates as changes are observed — check back soon.