Apps Like Stamp ID - Identify & Value for iPhone and iPad
Ranked alternatives
Showing 81–100 of 1,000 ranked alternatives.



Lettre.app - PenPals for life
Chee Thee LLC
Write letters, connect with others
Write and send handwritten letters to other users or email addresses. Customize letter appearance with fonts and colors. Receive and reply to letters with handwritten notes. Connect with others through meaningful, text-free communication.


Hallmark Cards Now
Hallmark Marketing Company, LLC
Send eCards by text or email
Send eCards via text or email with customizable messages and photos. Include paper delivered by mail without needing a stamp. Access exclusive rewards and manage account settings for Crown Rewards members.

ScanCoin: identify & check
HASKINGO - FZCO
Scan coins and them instantly
Coins using AI image recognition. Upload images or take photos of coins. Access detailed information including name, country of origin, year of issue, and population data. Save and organize collected coins in a digital portfolio.



NoteSnap: Banknote Identifier
Next Vision Limited
Snap, identify, catalog banknotes
Identify and catalog banknotes by snapping a photo or uploading an image. Automatically matches the image with a database for accurate reference information. Provides details such as name, country, and year of issue.




Stanley Gibbons Ltd
Stanley Gibbons Limited
Browse stamp catalogues and collect stamps
Access and browse a collection of stamp catalogues including Great Britain Concise, Collect British Stamps, and Commonwealth & Empire Stamps 1840-1970. View One-Country catalogues from around the world. Download occasional free content.






Cardly AI: Sports Card Scanner
SCATE DIJITAL PAZARLAMA ANONIM SIRKETI
Identify cards and track your collection
Identify trading cards with camera or image upload. View detailed information and market prices. Track owned cards and manage collections. Search for cards by name, set, or rarity. Export collection data and set price alerts.

How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.