Deepgram VS socketify.py
Compare Deepgram VS socketify.py and see what are their differences
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socketify.py
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It's fast - but for an API, not the fastest speech-to-text. For a long while I hadn't done research and trusted them. Then tried Whisper and Picovoice. On-device latency is nothing comparable with cloud APIs. If latency is important go with Whisper or Picovoice. If customization is also important go with Picovoice.
don't get me wrong it's still faster than amazon, Microsoft or Assemblyai
Based on our record, Deepgram seems to be a lot more popular than socketify.py. While we know about 34 links to Deepgram, we've tracked only 2 mentions of socketify.py. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Deepgram changed the maths. Their Nova-3 model does real-time streaming transcription fast enough that the text appears as you speak, not after. And the free tier gives you $200 in credit, which is roughly 12,000 minutes of transcription. That's a lot of talking before you pay a penny. - Source: dev.to / 4 months ago
Deepgram is a voice AI application creation platform. Developers can use its API to build audio apps with text-to-speech, speech-to-speech, and speech-to-text models. To experience and see how Deepgram works, visit the URL above and try the interactive, real-time voice demo on the home page. - Source: dev.to / 5 months ago
Modern ASR systems (such as Whisper, Deepgram, or custom domain-tuned models) are now robust enough to operate in factories, warehouses, and construction sites where noise floors routinely exceed safe listening levels. - Source: dev.to / 7 months ago
Start by hooking up speech-to-text (STT) using something like OpenAIโs Whisper if youโre going open source, or Deepgram if you want a super-accurate plug-and-play API. - Source: dev.to / over 1 year ago
Deepgram specializes in real-time transcription optimized for specific industries and use cases. - Source: dev.to / over 1 year ago
These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago
Eleven Labs - The most realistic and versatile AI speech software, ever. Eleven brings the most compelling, rich and lifelike voices to creators and publishers seeking the ultimate tools for storytelling.
Vapi - Voice AI Infrastructure for the Internet
Speechmatics - The most accurate and inclusive speech-to-text API ever released.
AssemblyAI - Robust and Accurate Multilingual Speech Recognition
Cartesia Sonic - Sonic is the fastest human-like voice API.
Otter.ai - Your AI meeting assistant that takes live notes and generates summaries and other insights using Meeting GenAI.