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Launched on June 3rd, 2025
AssemblyAI is highly praised for its accurate and easy-to-integrate speech recognition API. Makers from Vercel and Tella commend its transcription capabilities, enhancing their products' functionalities. Me.bot highlights its support for various media types and ease of use. Users appreciate the API's speed, accuracy, and comprehensive documentation. While most feedback is positive, a few users noted minor issues with payment processes. Overall, AssemblyAI is a reliable choice for speech-to-text solutions.
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