Apps Like Esse for iPhone and iPad
Convert text to formats, extract info, clean
Convert text to various formats and extract key information. Clean text by removing unnecessary content. Use as a share extension, today widget, or within shortcuts. Perform 69 actions across 8 categories.
Esse screenshots
Ranked alternatives
Showing 741–760 of 1,000 ranked alternatives.





PUB Converter-for MS Publisher
RootRise Technologies Private Limited
Convert
Convert Microsoft files to Word, OpenOffice, and RTF formats. Batch process multiple .pub documents. Preserve text, formatting, tables, and graphics during conversion. Export to editable Word and OpenOffice documents.

OCR Text Scanner Pro
Carl Gilson
Capture images, extract , translate content
Capture images or upload documents for recognition. Extract and convert it to speech. Copy, share, or translate instantly. Supports OCR for images and documents.





MacPacker
Stephan Arenswald
Browse, preview, and extract archives
Browse archives without extracting files fully. Preview contents instantly. Navigate nested archives like ZIP-in-RAR. Extract specific files by dragging. Built natively for macOS with Swift. Supports all major archive formats.



iZip Archiver
iBoostUp Pty Ltd
Create, edit, and extract archives
Manage compressed files like ZIP, ZIPX, RAR, TAR, and 7ZIP. Extract individual files without extracting the entire archive. Open and view archive contents directly. Share files across macOS and PC platforms.

ColorSnapr
mint-soft
Capture colors with your camera
Capture colors from real-world objects using the camera. Select and save colors in various formats like HEX, RGB, and CMYK. Copy color codes quickly. Access a clean interface with dark mode support.


SnapPDF:Smart Scanning & OCR
Hong Kong Heavenly Limited
Convert images to PDFs and scan documents
Convert images to PDFs with high-quality output. Scan documents and extract text using OCR technology. Decode QR codes instantly. All features are available for free.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.