免费AI 免费AI 对文本的语音
将音频和视频发送到100+语言文本上。 10+ AI 模式, 语音探测, 不需要注册 。
9.2K
转录
233.2K
转录的分钟
100+
语言
70+
空闲工具
STT.ai 如何运作
三步,准确转录
1. 上传、记录或粘贴 URL
拖放任何音频或视频文件( MP3、 WAV、 MP4 和 20+ 格式) 。 实时记录您的麦克风。 或者粘贴来自YouTube、 Vimeo、 TikTok 和 1300+ 平台的链接 。
2. AI 与你选择模式的连接
从 10 + AI 模型中选择, 包括 Whiseper 、 NVIDIA 加那利( # 1 精度) 和 Moonshine 。 从 100 + 选项中自动检测语言 。 演讲人 diarization 确定谁说了什么 。
3. 出口、份额或一体化
下载为 TXT、 SRT、 VTT、 DOCX、 JSON、 或 PDF 。 通过链接共享 。 使用我们的 API 将抄录入您的应用程序 。 适合字幕、 会议笔记、 播客等等 。
100+
语文支助
70+
空闲工具
1,300+
支持平台
7
导出格式
开发者- 第一 API
将语音到文字整合到您的应用程序中, 以分钟为分钟。 实时 WebSocket 流动的更新 API 。
REST + Web 套件 — 文件上传和实时流
多种模式 — 耳语、加那利语、扩音和更多
议长对角 — 自动检测谁说了什么
弹性产出 — Jsson, TXT, SRT, VTT 配字数时间戳
import requests
response = requests.post(
"https://api.stt.ai/v1/transcribe",
headers={"Authorization": f"Bearer {API_KEY}"},
files={"file": open("meeting.mp3", "rb")},
data={
"model": "large-v3-turbo",
"language": "auto",
"diarize": "true",
"response_format": "json",
},
)
result = response.json()
for seg in result["segments"]:
print(f"{seg['speaker']}: {seg['text']}")
常见问题
speech to text 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 speech to text the same as any other workflow. Paid plans starting at $5/month unlock longer files, private transcripts, and priority queueing.
speech to text 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.
speech to text 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 speech to text 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.
speech to text 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 speech to text 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 speech to text 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.