Maildash™ app icon

Apps Like Maildash™ for iPhone and iPad

Send personalized messages with stationery and signatures

Create and send personalized email and text messages using mail-merge templates. Select contacts or groups, choose pre-formatted messages, and send with integrated stationery and signatures. Edit message content before sending.

by PureBlend Software★ 4.111 ratingsProductivity$3.99Data updated 2026-09-08

Maildash™ screenshots

Ranked alternatives

Showing 961–980 of 1,000 ranked alternatives.

  1. Group SMS with Delivery Report app icon

    Group SMS with Delivery Report

    Shark Intelligence, s.r.o.

    Delivery reports for group SMS.

    The app provides delivery reports for group SMS messages on iPhone. It utilizes the iPhone's built-in Messages application and features a contact selection screen that displays only contacts with phone numbers.

    ★ 0.00 ratingsProductivity$0.99Data updated 2026-09-25
  1. Voxkey app icon

    Voxkey

    Cupscribe LTD

    Write, edit, and refine text with AI

    AI-powered keyboard enhances text with tone and language adjustments. Generate message suggestions from prompts. Choose tone and length. Translate or write in 80+ languages. Customize tones for personalized responses.

    ★ 0.00 ratingsProductivityFreeData updated 2026-09-06
  2. AEI Keyboard Note Swedish app icon

    AEI Keyboard Note Swedish

    Toshihiro Nakane

    Type with one hand, two thumbs

    Type messages quickly using one hand with a simplified layout. Input vowels with a single press and consonants with up to two presses. Two-thumb typing enhances speed. Features 13 multi-input keys with reduced key size to minimize typing errors.

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-08
  3. QR Apps' app icon

    QR Apps'

    CLOUD CREATIVE STUDIOS, INC.

    ★ 0.00 ratingsProductivityFreeData updated 2026-09-06
  4. Gift4Day app icon

    Gift4Day

    PK Managing Solutions Ltd

    ★ 0.00 ratingsLifestyleFreeData updated 2026-09-06

How we rank alternatives

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