
oruk — Speech API for transcripts, emotion, and style
用于语音转录、情感检测和说话风格分析的AI音频API。
dillon_silzer · Product Hunt
Oruk Speech AI that actually understands you
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用于语音转录、情感检测和说话风格分析的AI音频API。
dillon_silzer · Product Hunt
Oruk Speech AI that actually understands you

用语音录制销售演讲,获得五个维度的AI评分和趋势追踪。
@h_sellak · X
is voice practice for technical founders who run their own sales


Speakora 为内容创作者生成 70+ 语言的 AI 配音。
Speakora — AI voice generator for creators

用Odin AI教练练习面试答题,获得语音表达评分反馈。
u/Low-Development-2571 · Reddit
I am getting laid off, so I built a free AI interview coach that scores how you speak. I need your brutal feedback I've spent 9 years breaking things and have worked as a QA Analyst, QA Engineer, and Software Development Engineer in Test. Just found out I'm being let go. Instead of browsing job boards, I built something I needed for my interviews. I tried many prep tools, and they all check your answers. But almost none look at how you deliver them, the rambling, filler words, or answers th

语音销售记录器,自动追踪库存和利润。
@Blissiyke2 · X
Check out what I just built with Lovable!


按精确词语和时间戳搜索播客内容、保存片段并跟踪品牌提及。
lawnmaster18 · HN
Vuci – make the spoken word searchable

通过 AI 语音对话练习逼真的技术面试,获得即时反馈和性能评分。
@abhisricodes · X
Built InterviewIQ to help jobseekers practice realistic AI-powered mock interviews before the real thing. Get instant feedback on communication, technical answers, and confidence. Looking for early users.

将播客转录为文字,带有说话者标签和 AI 摘要。
u/vadeconry · Reddit
I built a tool that turns Podcast URLs into transcripts and summaries Hi everyone, I am a software developer by profession, and over the past few months I've been working on a side project called PodTyper. You can access it at https://www.podtyper.com Instead of downloading audio files or uploading episodes manually, you just paste a podcast URL (Spotify, YouTube or Apple Podcasts) and it generates a transcript along with AI-powered summaries. I originally built it becau


用于语音、聊天和视频面试的 AI 平台,提供自动转录和分析。
Aural — 开源 AI 面试平台,支持语音、聊天和视频面试,提供自适应追问、结构化评分、面试练习与自托管 - [查看仓库](https://github.com/1146345502/aural-oss)