Image To Text Scanner-OCR app icon

Apps Like Image To Text Scanner-OCR for iPhone and iPad

by Amina Sehar★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06

Ranked alternatives

Showing 221–240 of 1,000 ranked alternatives.

  1. FSA-OCR app icon

    FSA-OCR

    FinTech Center of Non-bank Financial Services Authority

    ★ 0.00 ratingsLifestyleFreeData updated 2026-09-06
  2. AI Scanner -  Scan Doc to PDF app icon

    AI Scanner - Scan Doc to PDF

    Rice Husk Technology Co., Ltd

    Documents, convert to PDF, save as JPEG

    Convert paper documents and images to PDF or JPG formats. Use OCR to recognize text automatically. Save files in multiple formats including PDF and JPEG. books, receipts, notes, and business cards in high quality.

    ★ 4.656 ratingsProductivityFreeData updated 2026-09-06
  1. Folio: PDF Scanner & Editor app icon

    Folio: PDF Scanner & Editor

    Ferdi Kiziltoprak

    Scan documents and extract text

    Scan documents by pointing the at them. Automatically detect and capture images. Extract text using OCR technology. Save, share, or edit scanned documents. Convert physical documents into digital formats.

    ★ 4.027 ratingsUtilitiesFreeData updated 2026-10-15
  2. PDF OCR X Enterprise Edition app icon

    PDF OCR X Enterprise Edition

    Web Lite Solutions Corp.

    Convert PDFs and images into text.

    The app converts PDFs and images into text documents or searchable PDFs using OCR technology. It supports over 60 languages for text extraction from scanned documents.

    ★ 0.00 ratingsProductivity$29.99Data updated 2026-09-28
  3. PDF Text Extractor - Extract PDF Text with OCR app icon

    PDF Text Extractor - Extract PDF Text with OCR

    松平 洪

    Extract text from PDF files.

    The app recognizes text and characters from documents and scanned images. Users can edit the extracted text in a document editor and the app supports 40 recognition languages.

    ★ 0.00 ratingsProductivity$4.99Data updated 2026-11-14

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.