
AssemblyAI
@AssemblyAI • 45,730 subscribers
Access powerful AI models to transcribe and understand speech via a simple API. Try our no-code playground for free 👉 https://t.co/YPCK9mq5Qy
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Introducing Universal-1: Our most powerful and accurate Speech AI model yet. ✅ Trained on 12.5M hours of multilingual speech data ✅ 13.5% more accurate than models like Whisper ✅ Up to 30% fewer hallucinations than seq2seq models ✅ Just 38 seconds to process 1 hour of audio
AssemblyAI23,511,261 views • 2 years ago

Real-time transcription just got a significant upgrade. Universal-3-Pro is now available for streaming — bringing AssemblyAI's most accurate speech model to live audio for the first time. Developers building voice agents, live captioning tools, and real-time analytics pipelines now get three things they've been asking for: 🔹 Best-in-class word error and entity detection across streaming ASR benchmarks 🔹 Real-time speaker labels — know who said what, as it happens 🔹 Superior entity detection for names, places, orgs, and specialized terminology in real-time 🔹 Code-switching and global language coverage built-in
AssemblyAI15,016 views • 3 months ago

Today, we’re introducing new tools and model updates to help you build, deploy, and scale Voice AI applications.🎙️ 🆕 Speech Understanding: Turn transcripts into actionable data with speaker identification, custom formatting & translation 🆕 LLM Gateway: One API for your voice-to-intelligence pipeline, with GPT, Claude, Gemini & more 🆕 Voice AI Guardrails: End-to-end protection for safe, compliant content Model Upgrades: ✅ 99 languages with auto code-switching ✅ 64% fewer speaker counting errors ✅ 57% better accuracy on critical terms with 1,000-word context Real results: 🔥 Calabrio: 80% boost in customer satisfaction, 22% revenue increase 🔥 Siro: "10/10 customers say 'wow, that insight was crisp'" Build & scale Voice AI in minutes! Try it in our Playground or check the docs. 🚀
AssemblyAI18,028 views • 8 months ago

We just released Universal-3 Pro. And it's free for all of February. LLM-style control over transcription: not just keywords, but actual instructions: → "Be more verbatim, capture filler words" → "This is a medical conversation" → "Label speakers as doctor vs. patient" One prompt. Hundreds of calls. Consistent output.
AssemblyAI11,499 views • 4 months ago
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