
Build new AI products with voice data leveraging AssemblyAI’s industry-leading Speech AI models for accurate speech-to-text, speaker detection, sentiment analysis, chapter detection, PII redaction, and more. Join 5,000+ industry-leading companies—including Fireflies.ai, Glean, and Loop—unlocking the power of voice data and launching best-in-class products and experiences.
AssemblyAI
LanguaTalk
@devon_malloy congrats on the launch. Couple of Qs: 1) which languages does it support? 2) do you have benchmark data by language vs 11labs Scribe and Deepgram Nova-3? Couldn't find answers to either.
AssemblyAI
@alex_redfern The Universal-Streaming model is currently available in english. As for the benchmark data, we have a robust breakdown on the comparison for Nova-3. A few impacts worth noting is the 44% increase in P50 Latency, 66% reduction in cost, and 21% better WER for alphanumerics. I will pass on the feedback for a Scribe benchmark. Thanks!
Pokecut
🚀 AssemblyAI is a total game-changer for anyone building AI products with voice data! Their speech-to-text accuracy is seriously impressive, and the extra features like speaker detection, sentiment analysis, and chapter detection make it super powerful. 🗣️✨
I especially love the PII redaction—privacy is a huge concern, and AssemblyAI handles it seamlessly. Knowing top companies like Fireflies.ai and Glean trust this platform gives me a lot of confidence, too! 💪
If you’re looking to unlock the true potential of voice data for your product, AssemblyAI is a must-try. Excited to see how it keeps evolving! 🔥
Hey, AssemblyAI Team,
I’ve been working on a fully offline, on-device streaming ASR engine for iOS.
Would love to get feedback or benchmark ideas!
If anyone's curious to try it on their device, I’m happy to add you to TestFlight — just DM me.
https://github.com/make1986/ios-streaming-asr-offline