AI Speech to Text icon

AI Speech to Text

Use AI to quickly and accurately transcribe speech into text, supporting over 130 languages.

用户数49
评分--
评论数0
Manifest 版本V3
7日增长-5
7日增长率-9.26%
视觉预览

AI Speech to Text 媒体预览

3 项素材
趋势

30 日用户趋势

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用户增长趋势

46474849502026年5月29日2026年6月1日2026年6月4日最新值: 49
评分趋势

30 日评分变化

按时间查看评分波动,辅助判断近期口碑是否稳定。

评分趋势样本还不够,后续快照会继续补齐。
增长概览

日/周/月增长表现

同口径展示 1 天、7 天、30 天的绝对增长与增长率。

1日增长减少
-1-2%
7日增长减少
-5-9.26%
30日增长增长
+2+4.26%
技术摘要

版本、语言与抓取信息

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版本1.0
ManifestV3
大小412KiB
语言数55Deutsch / English / English (Australia) +52
发布时间
最近更新
最近抓取
DeutschEnglishEnglish (Australia)English (United Kingdom)English (United States)FilipinoIndonesiaKiswahiliMelayuNederlandsTiếng ViệtTürkçe
简介

插件简介

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AI Speech to Text is an AI‑powered transcription tool that turns spoken audio into clean, editable text and optional translations in just a few steps. Built on the OpenAI Whisper model, it delivers highly accurate speech recognition across different accents and noisy environments, so you can focus on content instead of manual typing.​

Use it as a meeting transcription solution, interview transcription software, or lecture and podcast speech to text converter. Upload recordings or supported video files, let the tool transcribe and (optionally) translate, then download the transcript and subtitles for editing, sharing or publishing.​

Core features include AI speech recognition with Whisper, integrated translation into 130+ languages via large language models, support for popular audio and video formats such as MP4, MOV, MP3 and WAV, and automatic subtitle generation for webinars, online courses and training videos. Typical long‑tail use cases range from HR training session transcription and university lecture notes to multilingual podcast transcripts and translated subtitles for global audiences.​

New users receive trial credits to test AI speech to text and translation before upgrading to higher‑volume plans. Audio and text are processed on secure servers with strict access controls, and transcription data is removed after a short retention window, with only lightweight history stored locally so you can review past tasks when needed.​

评价

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