CM Meet transcript app icon

Apps Like CM Meet transcript for iPhone and iPad

by 金美 陈★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06

Ranked alternatives

Showing 221–240 of 1,000 ranked alternatives.

  1. VoiceRec: AI Vocal Recorder app icon

    VoiceRec: AI Vocal Recorder

    Beatcode Srl

    Record and transcribe voice notes

    Record voice and audio with background recording support. Transcribe recordings using AI for accurate text output. Share transcribed content directly or export as files. Manage multiple recordings and edit transcriptions manually.

    ★ 4.73 ratingsUtilitiesFreeData updated 2026-09-06
  2. Kickly app icon

    Kickly

    爱华 刘

    ★ 0.00 ratingsHealth & Fitness$2.99Data updated 2026-09-06
  3. Allscribe: Voice to Text app icon

    Allscribe: Voice to Text

    GLORY MEDIA CO., LTD

    Transcribe meetings in real time

    Transcribes conversations into in real time. Captures meeting, interview, lecture, and conversation content. Allows users to focus on discussion while notes are generated. Offers real-time transcription with high accuracy.

    ★ 4.928 ratingsProductivityFreeData updated 2026-09-06
  4. Timestamped Field Notes app icon

    Timestamped Field Notes

    Neukadye, LLC.

    Record with timestamps and buttons

    Lets users record observations with time-stamped entries. Tap buttons to log common events or use the keyboard for custom . Export in chronological order as CSV, JSON, or plain text to cloud storage.

    ★ 4.261 ratingsProductivity$9.99Data updated 2026-09-08
  5. AI Voice Recorder & Notes app icon

    AI Voice Recorder & Notes

    Chengdu Spotlight Dimension Technology Co., Ltd

    Record, transcribe, and summarize audio in real

    Record audio and convert speech to text in real time. Edit transcripts, highlight key points, and generate summaries. Share recordings and across devices. Supports multiple languages and integrates with cloud storage.

    ★ 5.08 ratingsUtilitiesFreeData updated 2026-09-06

How we rank alternatives

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