Apps Like leafstash: paperless receipts for iPhone and iPad
Ranked alternatives
Showing 161–180 of 1,000 ranked alternatives.
SplitNShare
Gautam Kapoor
Split bills by snapping receipts and assigning
Allows users to scan receipts and extract item details automatically. Assign costs to individuals, split payments evenly or by percentage, and distribute taxes and tips. Organize shared expenses for groups or roommates.
Master Scanner : Scan business card.s, book keeping, fax file with OCR Chinese English
Teerawut Sanprom
Scanner App - PDF Scan Pro
Digitap Inc.
Documents and share as PDF or PNG
Documents into clear PDF or PNG formats. Automatically detect edges and multiple pages into one file. Sign, enhance, and organize scanned documents. Share via email, iCloud, Dropbox, or Box.
CamSCAN PDF・Document Scanner
Dhrumit Mathukiya
Scan, extract, save, organize documents
Scan documents with high-quality image capture and auto-edge detection. Extract text using OCR technology. Save and organize files in folders. Share documents via email or cloud services. Add notes and tags for quick reference.
Expense Tracker: FinFlo
AppWrapp, LLC
Track expenses, manage budget, get insights
Log daily expenses and categorize them automatically. Track monthly spending patterns and receive budget insights. Set financial goals and monitor progress over time. Export data and sync across devices.
Expense Control Pro
Starkode Limited Company
Track expenses and mileage on the go
Track expenses and mileage in one place without a subscription. Scan receipts to log expenses automatically. Create customizable reports and share them with customers. Set up categories and receive alerts for spending trends.
PDF Scanner PRO - Scan Docs
Tana IntelSoft SRL
Documents and convert to PDF
Documents using smartphone camera for high-quality images. Convert scans to PDF or image formats. Edit text, add notes, and annotate documents. Share files via email or cloud storage. Organize and store scanned documents in folders.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.