Software Alternatives & Reviews

Sonix VS Deepgram

Compare Sonix VS Deepgram and see what are their differences

Sonix logo Sonix

Automatically convert audio & video to text in minutes

Deepgram logo Deepgram

Search engine for speech
  • Sonix Landing page
    Landing page //
    2023-01-31
  • Deepgram Landing page
    Landing page //
    2023-04-17

Sonix videos

Review of Sonix.ai audio transcription service

More videos:

  • Review - iPhone X Ringke Mirror Case vs Sonix | Review After 1 Year
  • Review - SONIX iPhone 6/6s Case | Unboxing & Review

Deepgram videos

Deepgram CEO Scott Stephenson | Machine Meets World

More videos:

  • Review - Deepgram Brain Speech-to-Text Editor

Category Popularity

0-100% (relative to Sonix and Deepgram)
Transcription
69 69%
31% 31
Audio Transcription
100 100%
0% 0
Speech Recognition And Processing
Subtitle Maker
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Sonix and Deepgram

Sonix Reviews

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Deepgram Reviews

  1. 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

    👍 Pros:    Fast|Fast sales|A free demo|Supports multiple languages
    👎 Cons:    Slow support for free customers|Limited free version

Social recommendations and mentions

Based on our record, Deepgram should be more popular than Sonix. It has been mentiond 27 times since March 2021. 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.

Sonix mentions (11)

  • Help with the translation of a horror story on youtube
    There's dozens of tools out there for this these days. I'd recommend sonix.ai they give you 30 minutes free. Source: 10 months ago
  • What is the quickest/most practical way to make podcast clips? Selecting clips, trimming, exporting etc etc.
    Do you have a budget? If so, there's this tool I've worked with called Sonix that generates transcripts of what you feed into it. It's not super accurate, but it's good enough. One of the features is that you can "highlight" chunks of text, and have it spit out an XML that will have a sequence containing only the highlighted text. Source: about 1 year ago
  • Interview with Kim Golden - Victim of 03/01/2023 Pit Bull Attack - Links in comments
    Sonix was the one I used because it had 30 free minutes and the video was only 10-11 minutes long. It seems to have done a really decent job, but not sure if that's because the source audio is pretty clear. Source: about 1 year ago
  • What do you use to transcribe your data?
    Sonix.ai does many languages and is quite good. Source: about 1 year ago
  • Is there any languages you wish you could learn, but are discouraged by the lack of resources for?
    I am struggling with this as well, but one good tool for me has been sonix.ai, which can transcribe pretty well (posted a little while ago about it). Source: almost 2 years ago
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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 / 5 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 / 7 months ago
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What are some alternatives?

When comparing Sonix and Deepgram, you can also consider the following products

HappyScribe - Happy Scribe automatically transcribes your interviews

Speechmatics - The most accurate and inclusive speech-to-text API ever released.

Audext - Use online audio to text converter to transcribe any voice recording in minutes.

Fraim - Fraim is a fully functional transcription service provider that allow the people to download the transcript services in the format that they require and even use the secure Fraim Channel to share the newly and searchable and interactive media with o…

Go Transcribe - Advanced cloud based transcription service powered by artificial intelligence

AssemblyAI - Speech Recognition for Everyone and Everything.