OCR Scan vs OCR.net
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
OCR Scan
Transform your iPhone or iPad into a portable scanner for digitizing single-page documents. Automatically detect borders, correct distortion, and enhance quality for clear digital files. Share scans as PDF or JPEG via various platforms.
- Mobile document scanning
- Automatic border detection
- Distortion correction
- Scan quality optimization
- Share as PDF/JPEG
- Cloud service integration
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OCR Scan - Scan Unlimited Free Unlimited Scans OCR Scan transforms your iPhone and iPad into a powerful, portable scanner, perfect for digitizing single-page documents. Quickly turn any paper into a clear, digital file, whether it's a receipt, a note, or an important document. Our app automatically detects borders, corrects distortion, and refines geometry, ensuring perfect scans every time. Key Features: Mobile Scanner: Use your device's camera to scan a wide range of single-page documents, including receipts, notes, invoices, whiteboard discussions, business cards, and certificates. Optimize Scan Quality: Smart cropping and auto-enhancement features ensure texts and graphics in your scans are always clear and sharp. Share PDF/JPEG Files: Easily share your scanned documents in PDF or JPEG format via social media, email attachments, or by sending a document link. Once scanned, you can email, export to Photos, upload to popular online services (including Dropbox, Evernote, Google Drive, iCloud Drive, Box, OneDrive, and OneNote), save directly to your device, print, or even fax your documents.
OCR.net
This app uses optical character recognition to convert images and scanned PDFs into editable text or searchable PDF documents. It supports numerous languages and offers a simple interface for file selection or direct capture. OCR processing is handled efficiently on a remote server.
- Image to editable text conversion
- Scanned PDF to editable text
- Scanned PDF to searchable PDF
- Supports dozens of languages
- Sleek and simple interface
- Direct file sending from other apps
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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.
Screenshots
Verdict
The clearest difference is ads: OCR.net at none against OCR Scan's shown. OCR.net also leads on monetization model (free vs ad-supported) and iOS requirement (6.0 vs 13.0). On price, in-app purchases and device support there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. Neither carries in-app purchases, so what you see is what you pay.
| Parameter | OCR Scan | OCR.net |
|---|---|---|
| Price | Free | Free |
| Rating | — | 1.0 (1 ratings) — better |
| Positive reviews | 0.0% of reviews | — |
| Number of ratings | — | 1 — better |
| Update frequency | Every 55 months | — |
| Ads | Yes | No — better |
| In-app purchases | No | No |
| Monetization | Ad-supported | Free — better |
| Devices | iPhone, iPad, iPod | iPhone, iPad, iPod |
| Requires iOS | 13.0 | 6.0 — better |
| Further details — not scored | ||
| Size | 193 MB | 18 MB |
| Age rating | +4 | 4+ |
| Developer | Aishvarya Sadasivam | Web Lite Solutions Corp. |
Customer experience
OCR Scan
OCR.net
In-app purchases
OCR Scan
No in-app purchases
OCR.net
No in-app purchases









