MSpeech app icon

Apps Like MSpeech for iPhone and iPad

by Shenzhen Metto-tech Co.,Ltd★ 3.01 ratingsUtilitiesFreeData updated 2026-09-06

Ranked alternatives

Showing 481–500 of 1,000 ranked alternatives.

  1. Voice To Text: Speech AI app icon

    Voice To Text: Speech AI

    Daniel Triay Pons

    Transcribe audio, video, and recordings

    Convert spoken words into text from audio or video files. Edit transcriptions, adjust formatting, and export as text or PDF. Supports multiple languages and integrates with cloud storage services.

    ★ 4.410 ratingsUtilitiesFreeData updated 2026-09-06
  2. Sound Enhancer - Audio Editor app icon

    Sound Enhancer - Audio Editor

    Kamalkumar Trapasiya

    Edit , enhance , convert files

    Edit files by trimming, splitting, and merging clips. Apply effects like equalization and reverb. Convert formats and adjust volume levels. Enhance quality with noise reduction tools. Save and share edited files directly.

    ★ 5.02 ratingsUtilitiesFreeData updated 2026-09-06
  1. EchoEgg app icon

    EchoEgg

    Lianou Technology (Haining) Co., Ltd

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06
  2. Lyratone: Hearing Aid via AI app icon

    Lyratone: Hearing Aid via AI

    Chirong Chen

    Test and adjust aids automatically

    Adjust assistance based on individual loss, with separate compensation for left and right ears. Perform full tests covering 16 frequency points in 10 minutes. Automatically reduce background noise and switch between phone and Bluetooth microphones.

    ★ 3.33 ratingsUtilitiesFreeData updated 2026-09-15
  3. VOTT: Transcribe Voice to Text app icon

    VOTT: Transcribe Voice to Text

    ARTCOAST LLC

    Convert audio to and vice versa

    Convert spoken words to and to speech. Record audio for transcription, edit transcribed , and convert back to speech. Use OpenAI for translation and language detection. Save and share transcripts securely.

    ★ 0.00 ratingsProductivityFreeData updated 2026-09-06

How we rank alternatives

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