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A smooth experience but they can get even better
What do you like best about the product?
They are quite simple to integrate in the project, and have a great dashboard where a lot of the info is accessible.
There is a generous trial plan for quite a lot of testing and enough to kickstart you if you're a small project.
There is a generous trial plan for quite a lot of testing and enough to kickstart you if you're a small project.
What do you dislike about the product?
I want to be able to download older transcripts / results.
The support can get a bit better with less ambiguous answers.
The support can get a bit better with less ambiguous answers.
What problems is the product solving and how is that benefiting you?
They have an api integration for whisper transcription, which we are using for transcript and diarization of audio recordings.
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Fast and realtime voice transcription
What do you like best about the product?
Speed and realtime results at competitive prices. Very easy to setup and good overall documentations.
What do you dislike about the product?
The detection is still not as good as OpenAI whisper with the post processing that seems to make it better than Deepgram.
The number of different models and config combinations can be a bit intimidating to arrive at the best set for the particular use case.
The number of different models and config combinations can be a bit intimidating to arrive at the best set for the particular use case.
What problems is the product solving and how is that benefiting you?
We need realtime voice recognition to have a conversational AI app
Fastest STT for our use-case
What do you like best about the product?
Deepgram's speed in converting spoken words to text is truly impressive. This real-time capability allows us to process and transcribe conversations quickly, making it a valuable tool for our operations.
User-friendly interface and API integration make it easy for developers.
Diarization feature is a game-changer. It helps us differentiate between multiple speakers in a conversation, making our transcriptions more organized and meaningful.
Support for telephony codecs, such as Mu-law 8000, is essential for us, as we deal with a variety of audio sources. This versatility ensures we can work with different types of recordings seamlessly.
The availability of a phone call model is a great asset for our use case. It's tailored to handle telephone conversations, resulting in more accurate transcriptions for this specific scenario.
The ability to receive interim results is a big plus. It allows us to get an early glimpse of the transcription, which can be useful for real-time applications. Additionally, the endpointing feature helps us identify the start and end of speech segments accurately.
User-friendly interface and API integration make it easy for developers.
Diarization feature is a game-changer. It helps us differentiate between multiple speakers in a conversation, making our transcriptions more organized and meaningful.
Support for telephony codecs, such as Mu-law 8000, is essential for us, as we deal with a variety of audio sources. This versatility ensures we can work with different types of recordings seamlessly.
The availability of a phone call model is a great asset for our use case. It's tailored to handle telephone conversations, resulting in more accurate transcriptions for this specific scenario.
The ability to receive interim results is a big plus. It allows us to get an early glimpse of the transcription, which can be useful for real-time applications. Additionally, the endpointing feature helps us identify the start and end of speech segments accurately.
What do you dislike about the product?
While Deepgram's accuracy is commendable, there is room for improvement in the Word Error Rate. In real-time conversations, every word counts, and even a slight inaccuracy can be problematic. Although it's acceptable for our use case, further improvements in this aspect would be highly beneficial.
What problems is the product solving and how is that benefiting you?
Deepgram is benefiting our organization by providing an efficient, cost-effective, and feature-rich hosted STT solution. It eliminates the need for us to make substantial investments in building and maintaining an in-house STT system, allowing us to focus on our core business activities and providing us with reliable, accurate, and scalable transcription services. This has not only saved us time and resources but also improved the overall quality of our real-time conversation-based applications.
Great for transcribing meetings with speaker diarisation
What do you like best about the product?
I've been using the API a lot to transcribe long meetings and workshops (2 to 3 hours long). It's very reliable and works well with a variety of accents. I've also found the speaker diarisation (i.e. identify which speaker said what) to be top notch.
What do you dislike about the product?
The only issue I had was at the beginning. The documentation wasn't as clear as it could have been to help me get the script working. It would have been useful to have a cookbook with a range of common uses.
What problems is the product solving and how is that benefiting you?
It's helping me process long meetings for a fraction of the cost of other services and the quality is very good. I've been finding very little loss of nuance and meaning in my transcriptions
After trying a few solutions, we found deepgram to be the best.
What do you like best about the product?
The playground works excellently; it was straightforward to use it and then add the code to test our application. The user and API key management is helpful.
What do you dislike about the product?
As a Spanish user, the Spanish (Mexico) transcriptions fail more than English.
What problems is the product solving and how is that benefiting you?
It was hard to find a Spanish transcription service. Even when it's not perfect, it works excellently with Spanish.
Easy to use, but spelling is not the greatest.
What do you like best about the product?
The streaming API is very fast and was easy to implement.
What do you dislike about the product?
Too many spelling mistakes, especially with acronyms. doesn't always spell keywords correctly.
What problems is the product solving and how is that benefiting you?
Transcribing audio so out users don't have to type it
Fast, Multilingual, and Accurate
What do you like best about the product?
Deepgram is super fast and accurate when it comes to transcribing audio. It can handle multiple languages which is really handy. They give you $200 credit to start with, which is pretty generous. It has cool features like transcribing in paragraphs and it's really precise. Plus, their API documentation is easy to understand and use.
What do you dislike about the product?
The one thing I wish Deepgram could do is transcribe video calls in real time using their API. That would be a really useful feature. But overall, Deepgram is a solid choice for speech-to-text needs.
What problems is the product solving and how is that benefiting you?
Deepgram is solving the problem of transcribing audio data into text, which is a crucial task in many fields such as customer service, legal compliance, and content creation. It uses AI speech recognition models to provide highly accurate and low latency transcriptions and creating chatbots able to ask questions to transcripts.
Deepgram is best in class
What do you like best about the product?
- Affordable
- Great customer support
- $200 credit goes a long way towards your proof of concept
- Excellent developer documentation
- Excellent ReST API, very easy to understand and use
- Implementation was quick and easy
- Good features like diaraization, smart formatting, etc.
- Great customer support
- $200 credit goes a long way towards your proof of concept
- Excellent developer documentation
- Excellent ReST API, very easy to understand and use
- Implementation was quick and easy
- Good features like diaraization, smart formatting, etc.
What do you dislike about the product?
- Occassional service degradations
- They promote their Nova model more than other models
- Their tech webinars don't take live questions
- They promote their Nova model more than other models
- Their tech webinars don't take live questions
What problems is the product solving and how is that benefiting you?
Medical transcription
Deepgram is the best
What do you like best about the product?
Deepgram empowers startups. The credits provided are awesome and the managable cost of Deepgram is a major plus. The webinars and constant improvement clearly shows Deepgram is an industry leader. We tested with a few text-to-speech APIs and deepgram clearly came out on top.
What do you dislike about the product?
Not a dislike, but just a suggestion - if we could customize the model output for our own use cases. It would just help maintain consistent data structures in my codebase as I spend a lot of time parsing.
What problems is the product solving and how is that benefiting you?
The state of the art models accuratley transcribe text. almost never gets stuff wrong.
Deepgram provides high-quality transcription
What do you like best about the product?
High-quality transcription and the ease-of-use of calling an API. Diarization is a nice feature.
What do you dislike about the product?
Deepgram does not provide any gaurantees that your data is not used for training.
What problems is the product solving and how is that benefiting you?
Deepgram helps me convert speech to text.
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