Apps Like OCR.net for iPhone and iPad
OCR.net screenshots
Ranked alternatives
Showing 601–620 of 1,000 ranked alternatives.
PDFOutliner
Jose John
Add Table of Contents to PDFs
The app adds a Table of Contents to PDFs. It organizes multipage scanned documents and builds a TOC for PDFs from scanned or OCR pages.
汉字手写识别 - 文字全能识别扫描
艳 徐
Recognize handwritten text from images
Recognize handwritten Chinese text in images and export as editable text. Support for detecting and converting messy, unclear, or潦草 handwriting. Includes text editing, copying, saving, and sharing features.
PDF Scanner App- Scan Document
Muhammad Bilal Tufail
Documents and convert to PDF
Documents and convert them to PDF. Edit scanned text and add notes. Share files via email or cloud services. Organize and store multiple documents in folders. Adjust brightness and crop images for clarity.
PDF & File Converter Pro
小明 徐
Convert, view, and share files securely
Convert PDF files to image formats and vice versa. Edit and annotate PDFs. Convert videos to audio formats like MP3. Extract audio from videos. Convert image files to PDF. View and manage documents, media, and images within the .
dZip: Zip Rar 7z Tar Extractor
Vijay Shiroya
Archive files, compress data, manage PDFs
Extract archives like Zip, Rar, 7z, and Tar. Compress files into Zip format. Manage files by organizing, moving, renaming, and deleting. Preview images, videos, PDFs, and Office documents. Use Face ID or Touch ID for secure access.
toonPie Pro Manga Translation
Young Seok Soul
Edit images, translate comics, view formats
Translate text within images and comics into preferred languages. Supports multiple languages. View and navigate through various image formats. Enhance readability with accurate text recognition. Save and share translated content.
PDF to Word Pro by Flyingbee
Flyingbee Software Co., Ltd.
Convert PDFs to editable Word documents.
The app converts PDF files to editable Microsoft Word documents. It preserves original texts, images, layouts, and graphics.
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Apps are ranked by functional similarity, category fit, rating confidence, and popularity.