工作原理
三个步骤即可启动运行。
1. 部署
我们在您首选的区域配置专用 GPU 服务器，或在您自己的硬件上部署我们的 Docker 镜像。设置时间不到24小时。
2. 转录
使用您熟悉的 STT.ai API 和网页界面。音频完全在您的专用服务器上处理，不会发送到共享基础设施。
3. 导出
转录文本保留在您的服务器上。可导出为 TXT、SRT、VTT、DOCX、JSON 或 PDF。通过 API 与您现有的系统集成。
选择您的部署方式
| 功能 | 共享云 | 私有云 | 自托管许可证 |
|---|---|---|---|
| 起始价格 | $0 - $39/以 单位 | $499/以 单位 | $99/以 单位 |
| 基础设施 | 共享 GPU | 专用 GPU | 您自己的 GPU |
| 数据位置 | 我们的服务器 | 您选择的区域 | 您的场所 |
| 气隙部署支持 | |||
| SLA | |||
| 完全托管 | 您自行管理 | ||
| 无限分钟数 |
为受监管行业而建
当合规要求音频不得离开您的基础设施时。
医疗保健
符合 HIPAA 标准的患者录音、临床笔记和远程医疗会话转录。
法律
证词、法庭录音和特权通信留在您的律所内部。
政府
在气隙网络上转录机密或敏感简报。完全的数据主权。
金融
在本地处理财报电话会议、合规录音和交易大厅音频。
定价
私有云
$499/以 单位
您自己的专用 GPU 服务器。音频永远不会离开您的基础设施。真正的端到端隐私。
- 专用 A100 GPU
- 隔离服务器——无共享基础设施
- 音频仅在您的硬件上处理
- 完整 API 访问 + SLA
- 无限分钟数
自托管许可证
$99/以 单位
在您自己的硬件上运行 STT.ai。Docker 镜像，您的服务器，您做主。
- Docker 镜像——可在任何 NVIDIA GPU 上运行
- 气隙部署支持——无需互联网
- 包含模型更新
- 完全控制您的数据
- 无限分钟数
常见问题
STT.ai Private Cloud and Self-Hosted transcription runs in your browser: paste a URL, upload a file, or record from your mic. STT.ai picks the AI model and returns the transcript in under 5 minutes. Export as TXT, SRT, VTT, DOCX, JSON, or PDF.
Yes — every visitor gets 600 free minutes/month on STT.ai, usable for STT.ai Private Cloud and Self-Hosted transcription the same as any other workflow. Paid plans starting at $5/month unlock longer files, private transcripts, and priority queueing.
STT.ai Private Cloud and Self-Hosted transcription runs on the same AI models as the rest of STT.ai — our best models reach 95-97% accuracy on clean speech (3-5% Word Error Rate on benchmarks). Switch models on the fly if the first pass is below your target.
STT.ai Private Cloud and Self-Hosted transcription can run on any of STT.ai's 10+ models — STT.ai Enhanced (most accurate), Whisper Large V3 (99 languages), NVIDIA Canary (#1 WER on supported langs), Whisper Turbo (fast), Moonshine (lightweight), and more.
Yes. Every transcript exports as SRT or VTT — works with YouTube, Vimeo, TikTok, VLC, and every major video player. The burn-subtitles tool overlays them onto video as hardsubs.
Yes. Speaker diarization automatically labels each voice (Speaker 1, Speaker 2, ...) and you can rename them in the built-in editor. Works across all models and languages.
Most STT.ai Private Cloud and Self-Hosted transcription jobs finish in under 5 minutes. A 1-hour audio file typically completes in 2-3 minutes with our fastest models. Speed depends on chosen model and current GPU load.
STT.ai Private Cloud and Self-Hosted transcription accepts 20+ formats — MP3, WAV, M4A, FLAC, OGG, MP4, MKV, MOV, WebM, AVI, and more. Output to TXT, SRT, VTT, DOCX, JSON, or PDF.
Yes. Audio files submitted to STT.ai Private Cloud and Self-Hosted transcription are processed and deleted by default. Pro plans add client-side encryption — even if STT.ai's database is breached, your transcripts are unreadable without your key. Data is never used for model training without explicit opt-in.
Yes. STT.ai offers a REST API with Python and Node.js SDKs, plus an MCP server for Claude and Cursor — all usable for STT.ai Private Cloud and Self-Hosted transcription workflows. Free API tier includes 100 minutes/month.
Yes. Every transcript opens in the built-in editor where you can correct words, rename speakers, adjust timestamps, and add notes. All changes save automatically.
Every transcript gets a unique shareable URL. Export to DOCX or PDF for email. Pro plans add password-protected and permanent links — useful for client work.
STT.ai handles 1,300+ platforms including YouTube, Vimeo, TikTok, SoundCloud, Zoom, Google Meet, podcast hosts, and more. URL transcription works with publicly-available content only — DRM-protected sources can't be transcribed.