Transcribe VS Deepgram

Transcribe 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

Transcribe mentions (3)

• Upping My Accessibility Skills

  📋 This means I should have prepared a transcript of the audio I've included above. Have you ever typed up your own transcript? It takes a good amount of effort and time, and a helpful transcription app, that my clients would probably not pay for. - Source: dev.to / almost 3 years ago

• Episode Transcripts?

  To start, I have a $20/ yr "manual" transcription license for Transcribe by Wreally. Once I saw that other folks were interested in transcripts too, I set up an automatic transcription for the first episode - it tends to work alright, but also needs some manual revising and editing after it finishes processing. Source: about 3 years ago

• Who's listening? Growing privacy concerns around transcription services

  This is the main reason we still have a local-only mode in our transcription web app [1]. We play the audio/video file directly from the user’s computer, and we use local storage to store typed text in users’ computers. This way no transcription data leaves users’ computers. We’ve been working on it for over a decade and we did add machine transcription recently, but I still find a surprising number of users use... - Source: Hacker News / about 3 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