TalkJS VS Deepgram

TalkJS Reviews

Deepgram Reviews

1. suz11    

   11 months ago
   Fast

   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

   🏁 Competitors: Picovoice.ai, Google Cloud Speech API, AssemblyAI, Speechmatics, Microsoft Azure, Amazon

   👍 Pros:    Fast|Fast sales|A free demo|Supports multiple languages

   👎 Cons:    Slow support for free customers|Limited free version

TalkJS mentions (32)

• Ask HN: Who is hiring? (June 2023)

  Our stack is mainly TypeScript, React, Elixir and PostgreSQL. 80% of the company is product people, founders are a designer and a programmer. TalkJS touches millions of people and is growing quickly. We want to be the tool that every developer thinks of for building communication features, a bit like what Stripe is for payments. To accomplish this, we give great engineers the maximum amount of freedom, so they can... - Source: Hacker News / 11 months ago

• 5 Real-world Projects for Practicing With NextJS

  Don’t use third-party libraries like TalkJs to integrate the real-time functionality. - Source: dev.to / about 1 year ago

• Integrating Django channels in my chat application

  Hello guys, I have just implemented a chat application between users in my Django project (just using HTTP requests). I am trying to deploy the project asap, do you think I should use Django channels? How hard is it to convert my already working application? I have also found this service on the internet (https://talkjs.com/). Do you think it could be a great idea to launch the website as it is now, and later on,... Source: over 1 year ago

• How do you implement internal user messaging in your app?

  I'm one of the founders of https://talkjs.com, a chat SDK with a pre-built UI. Obviously my position is extremely biased. Users have come to expect a chat experience that Just Works, and has all the basics covered. Those basics, however, go a lot longer than just the websocket/firebase "hello world" chat app and it's a lot of work to cover them sufficiently well. Typing indicators, online status, sharing photos... - Source: Hacker News / almost 2 years ago

• Reporting messages in TalkJS

  TalkJS now supports adding custom actions to chat messages. This opens up possibilities to add support for actions like reporting, deleting, or liking a message. In this how-to, we’ll set up a custom action to report a message in TalkJS using this new feature. Note that the feature by itself does not report a message but provides you with the custom action and its handler. You must invoke a service in the backend... - Source: dev.to / almost 2 years ago

Deepgram mentions (27)

• Building a Live Proctoring System to Detect Multiple Speakers

  Lastly, we will be using Deepgram Audio Diarization APIs to get speaker details from a sample audio clip. - Source: dev.to / 4 months ago

• How do I begin building AI tools for myself?

  There are other AI-powered APIs out there to consider, too. For example, Deepgram can be used to transcribe audio (better than Whisper, offered by OpenAI), ElevenLabs can be used to generate speech from text (including using custom voices, which OpenAI's TTS can't currently do), etc. Depending on what you're trying to make, a combination of these services may be what you need. In any case, Python is going to be... Source: 5 months ago

• Use Langchain, Deepgram, and Mistral 7B to Build a Youtube Video Summarization App

  This guide delves deep into the world of YouTube video summarization, harnessing the power of cutting-edge technologies including Deepgram for superior audio transcription, Langchain for harvesting the power of the LLM, and Mistral 7B, a state-of-the-art and open-source LLM. - Source: dev.to / 6 months ago

• Create a realtime closed captioning solution with Deepgram and Ably

  Historically it's been challenging to provide closed captioning for live experiences, be it a live interview, a sports game with commentary, or a livestream. But Deepgram's AI tooling has changed this, allowing users to easily convert realtime streams of audio into accurate transcripts. - Source: dev.to / 6 months ago

• Introducing Daily's AI-powered Clinical Notes API

  To deliver the best possible output, we’ve tested a wide range of AI models and supporting tools. Today, we’re producing industry-leading clinical notes text by combining Deepgram’s highly capable transcription models, ScienceIO’s healthcare-specific AI for processing medical data, and the Microsoft Azure OpenAI GPT-4 large language model. We’ve worked closely with all three teams to bring this new capability to... - Source: dev.to / 8 months ago