Table of contents
Deepgram
Search engine for speech.
As Deepgram is an open source project, you can find more
open source alternatives and stats
on LibHunt.
Pricing:
- Open Source
- Official Pricing
High Accuracy
Deepgram is known for its high accuracy in speech recognition, making it a reliable choice for transcriptions and other speech-to-text applications.
Real-Time Processing
The platform offers real-time processing capabilities, which are particularly useful for live transcription and other applications requiring immediate results.
Customizable Models
Deepgram provides options to fine-tune and train custom speech recognition models to better suit specific industry needs and terminologies.
Scalability
The service is designed to scale easily, making it suitable for both small projects and large-scale enterprise applications.
Multilingual Support
Deepgram supports multiple languages, broadening its utility for businesses operating in diverse linguistic environments.
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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
We have collected here some useful links to help you find out if Deepgram is good.
Check the traffic stats of Deepgram on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of Deepgram on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Deepgram's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of Deepgram on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about Deepgram on Reddit. This can help you find out how popualr the product is and what people think about 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 / 3 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 / 6 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 / about 1 year ago
Deepgram specializes in real-time transcription optimized for specific industries and use cases. - Source: dev.to / over 1 year ago
Customer service teams see immediate benefits. AI tools like Deepgram donโt just transcribe calls; they analyze sentiment, flag complaints, and identify patterns. Deepgram charges $1.25 per hour of audio, meaning 50 hours of customer calls costs $62.50โa fraction of traditional pricing. With this data, businesses can refine strategies, solve problems faster, and improve customer satisfaction. - Source: dev.to / over 1 year ago
For $5 for 20 hours of audio you can try https://deepgram.com. They give $200 of credit. - Source: Hacker News / about 2 years ago
Lastly, we will be using Deepgram Audio Diarization APIs to get speaker details from a sample audio clip. - Source: dev.to / over 2 years ago
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: over 2 years ago
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 / over 2 years ago
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 / over 2 years ago
To deliver the best possible output, weโve tested a wide range of AI models and supporting tools. Today, weโre producing industry-leading clinical notes text by combining Deepgramโs highly capable transcription models, ScienceIOโs healthcare-specific AI for processing medical data, and the Microsoft Azure OpenAI GPT-4 large language model. Weโve worked closely with all three teams to bring this new capability to... - Source: dev.to / almost 3 years ago
Paid API: If you're technical this is your best option. Personally I'm a fan of deepgram - https://deepgram.com/. They give you $200 in free credit too which in my case worked out to a couple hundred hours of transcription. Source: about 3 years ago
2) It runs it via whisper (an open source tool which does audio to text) Https://github.com/openai/whisper?ysclid=lhqc2hzssa59016522 Or sends it for external processing to an API of something like this https://deepgram.com/. Source: about 3 years ago
I recently tried a number of options for streaming STT. Because my use case was very sensitive to latency, I ultimately went with https://deepgram.com/ - but https://github.com/ggerganov/whisper.cpp provided a great stepping stone while prototyping a streaming use case locally on a laptop. - Source: Hacker News / over 3 years ago
Iโve seen good things with deepgram for speech to text. Source: over 3 years ago
Deepgram is an AI Speech Platform that provides developers with a simple-to-use Speech-to-Text API. Source: over 3 years ago
I've been using Deepgram for videos that have no subtitles at all. You can generate a transcript and use something else to translate it. It's far from perfect and tends to skip words but if it's important I crosscheck it with YouTube's autosubs (this is where your tool will help a lot) and then translate. Source: over 3 years ago
AWS has a service called transcribe thatโs good. Another possibility more sophisticated service is https://deepgram.com/. Source: over 3 years ago
In terms of outsourcing you could also try other services like https://deepgram.com/ or https://www.assemblyai.com/ to name just a few that focus on ASR. Or services like https://elsaspeak.com/en/elsa-api/, https://www.soapboxlabs.com/, azure has a pronunciation service too. Source: almost 4 years ago
When I came across the GitHub Community, this seemed like a good solution for what we're working on at Deepgram. And so the Deepgram Community was born along with accompanying discussions. - Source: dev.to / almost 4 years ago
Deepgram, a leading player in the speech recognition and transcription space, has garnered significant attention and largely positive public opinion in recent times. Positioned as one of the most reliable and efficient platforms for converting speech to text, Deepgram has carved its niche by offering robust AI-driven transcription services tailored for various business and industry needs.
Deepgram distinguishes itself with its real-time transcription capabilities, a feature highly praised across multiple reviews. The platform's ability to swiftly convert audio streams into accurate textual data makes it a popular choice among developers and businesses aiming for automation and efficiency in communication tasks.
A standout feature of Deepgram is its alignment with industry-specific and use-case-focused optimizations. This tailored approach enables businesses to harness the technology for more precise applications, from customer service interactions to industry-specific deployments like healthcare documentation.
When compared to its competitors like Otter.ai, Speechmatics, and AssemblyAI, Deepgram is often highlighted for its speed and accuracy. Its plug-and-play API functionality is touted as a vital asset for developers seeking easy integration into existing systems, enhancing productivity without steep learning curves or extensive customizations.
Cost is a critical factor in Deepgram's appeal. By charging a competitive rate of $1.25 per hour of audio, Deepgram offers a cost-efficient solution compared to traditional transcription services. This affordability, coupled with a generous $200 credit for new users, has made it accessible to smaller businesses and independent developers looking for budget-friendly yet powerful transcription solutions.
Beyond transcription, Deepgram provides analytical insights such as sentiment analysis, complaint flagging, and pattern identification. These features allow businesses not merely to convert speech to text but also to derive actionable insights from communications data, significantly enhancing the strategic decision-making processes.
Deepgram's versatility is evident through its seamless integration in various technological ecosystems. Whether integrated into open-source AI stacks for building agents or in live captioning for events, Deepgram's technology forms a backbone for innovation. Its APIs are often featured alongside other leading AI tools like OpenAI's Whisper and Langchain, reflecting its position as a cornerstone technology in AI-driven projects.
Deepgram maintains an active presence within the developer community, illustrated by initiatives like the Deepgram Hackathon. This engagement helps foster a loyal user base, promotes continued innovation, and attracts top talent. The company's recognition as a potentially better alternative to in-house STT systems underscores its technological and economic advantages.
Despite its strengths, there are some notes on improvement needed. Some users have observed instances where Deepgram's transcripts skip words or require cross-verification with other transcription outputs, such as YouTubeโs subtitles, to ensure added accuracy. While not prevalent, these concerns present avenues for Deepgram to refine its offering further.
In summary, Deepgram has established itself as a robust, economical, and developer-friendly platform in the speech-to-text realm. Its strong focus on real-time transcription, alongside comprehensive analytics features, make it a compelling solution for businesses seeking to enhance operational efficiency and customer interaction quality through AI-powered transcription technologies.
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Is Deepgram good? This is an informative page that will help you find out. Moreover, you can review and discuss Deepgram here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.
