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Built an STT API to reduce costs of transcription with diarization for earnings calls

I work on a speech-to-text API called JOBE Vox ( https://vox.jobe.works/ ). The thing I kept running into with off-the-shelf providers was that on multi-speaker audio — earnings calls, long meetings, podcasts with several hosts — the transcripts either dropped speaker labels entirely or charged a premium for diarization as a separate step. I wanted one POST that gave me back who said what and when. A few things that matter to me as a developer using it: Send a public audio URL, get bac

五维评分

付费意愿
45
需求真实度
30
个人可落地
50
竞争空间
25
新鲜度
40

AI 分析

痛点:多说话人音频(财报电话会议、长会议、多人播客)的转录服务要么丢失说话人标签,要么把说话人分离(diarization)作为额外收费步骤,且时间戳对不齐。

目标用户:需要处理财报电话会议、长会议、多人播客转录的开发者、分析师、内容团队。

证据:The thing I kept running into with off-the-shelf providers was that on multi-speaker audio — earnings calls, long meetings, podcasts with several hosts — the transcripts either dropped speaker labels entirely or charged a premium for diarization as a separate step. Most providers I looked at were $0.12–$0.22/hour. No subscription. I started with $0.50 — roughly 6h 15m of audio.

变现:按音频小时预付费,无订阅,提供API调用额度包。

MVP:用Whisper做转录、pyannote做说话人分离,封装一个接收公开音频URL、返回带内联说话人标签和时间戳的REST API,支持Google登录和预付费额度,2周可上线基础版。

竞品:AssemblyAI、Deepgram、OpenAI Whisper API、Rev、Otter.ai、Fireflies.ai

摘要:作者开发JOBE Vox STT API,解决多说话人音频转录中说话人标签丢失或diarization额外收费的痛点,提供一次POST返回谁在何时说了什么。他提到竞品价格约$0.12–$0.22/小时,自己定价$0.50起步(约6小时15分钟音频,合$0.08/小时),无订阅。该帖是产品自荐,未展示第三方付费意愿或收入数据。