Spark Mail VS Deepgram

Spark Mail 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

Spark Mail mentions (30)

• My ADHD Life Pro tips

  Using https://sparkmailapp.com/ for email, where I put in all my email IDs and make it a ritual to finish all email in one go once in the day, I habit bundle the email with coffee always. Source: 6 months ago

• How integrated into the Apple software ecosystem are you?

  Regarding email, I find the Mail app to be adequate for most purposes. However, I do prefer Mimestream on Mac and Spark on iOS for their user interface. Specifically, I find Spark on Mac to be a bit heavy. It is worth noting that I use custom domain email hosted through Apple instead of Gmail. Source: about 1 year ago

• Poor time management

  Apps like Notion,Forest, Veamly orSpark can be useful. Source: about 1 year ago

• Do you guys use apple mail app?

  Nope, I like Spark on MacOS and iOS and the Fastmail web interface on everything else. Source: about 1 year ago

• Looking for email app recommendation

  I use Spark Mail. I think it can fulfill all the requirements you listed. Source: about 1 year 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 / 5 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 / 7 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