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Deepgram is much faster that any other API I’ve tried
What do you like best about the product?
The speed and the cost. I also like the free credits I got to test the service.
What do you dislike about the product?
I think the text output and speaker labeling could be more correct. AWS is currently better at this.
What problems is the product solving and how is that benefiting you?
Helping transcribers to provide summarized meeting minutes faster
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Product has evolve so much in terms of quality of transcript and feature set
What do you like best about the product?
Very responsive support team and fast pace development cycle with great new features added regularly.
What do you dislike about the product?
Very not much to dislike... The only feature I would wish to see being improved more would be speaker detection.
What problems is the product solving and how is that benefiting you?
Fast transcripts of video and audio files, and we are using the tools to help our customers find media they need based on what is being said.
Recommendations to others considering the product:
Don't be afraid to reach out to the team and ask for features. They are responsive, and I find it a joy to work with them.
API: Good Product, Good Documentation, Great Support.
What do you like best about the product?
The Deepgram API covers the languages we need (and then some), integrates easily with our audio source, is accurate enough, and delivers results quickly. The documentation made it easy to design our code, and the very helpful support engineers were quick to respond to questions and to help us debug our initial efforts.
What do you dislike about the product?
The language coverage is good, but there are a few languages we'd like to see in the future. We're not ready, ourselves, to take advantage of it, but it would be pleasant to know we won't be running ahead of the support the tool gives us should we happen to make faster progress than we expect. Along the same lines, the models available for each language are more constrained than we'd prefer, although we're only beginning to implement in languages where it's a concern.
What problems is the product solving and how is that benefiting you?
We use Deepgram as our primary transcription engine, converting a Twilio phone call audio stream into a text stream in real time and analyzing the results. To make this important product for our company, we need a transcription engine, and developing one in-house is prohibitively expensive. Of the available engines, we chose Deepgram because it was very good at transcribing our phone calls and integrated easily into our chosen Java back-end environment. As an added benefit, Deepgram was willing to create a custom model for us. Deepgram would have been the best choice for us, even if it wasn't cheaper than the closest alternatives.
Great transcription service
What do you like best about the product?
Deepgram provides accurate and affordable real time transcription. Supports many languages too.
What do you dislike about the product?
Accent recognition could be improved a little.
What problems is the product solving and how is that benefiting you?
Converting live phone calls into text
Responsive company with a quality product
What do you like best about the product?
Their on-prem deployment strategy makes my life so much easier than previous ASR products we've self-hosted. Docker images that easily run in the cloud are such a great way to deploy and maintain software. They also make their infrastructure easy to monitor and publish stats to CloudWatch (with minimal configuration).
What do you dislike about the product?
Since this is a relatively new company, it sometimes felt like we tested things for them. There were some transcription discrepancies when switching from our old ASR provider to Deepgram, but they helped us figure those out. These types of nuances between ASR providers are to be expected with any significant switch of ASR systems.
What problems is the product solving and how is that benefiting you?
Our company transcribes data for numerous industries for ingestion into our analytics platform. This data allows us to build a SaaS product that enables our customers to understand what customers are saying about their products and services.
Appreciate the fine grained control for real time recognition
What do you like best about the product?
Real time recognition returns final results quickly with punctuation and speaker labels. I can fine tune pause detection and supply keywords to boost on the fly.
I've used this with spf.io to caption and translate live events. Compared to other speech recognition engines, Deepgram gives more fine grained control over when I get finalized results and is simpler to get started with--I just supply my API key and it works!
I've used this with spf.io to caption and translate live events. Compared to other speech recognition engines, Deepgram gives more fine grained control over when I get finalized results and is simpler to get started with--I just supply my API key and it works!
What do you dislike about the product?
I had an initially poor support experience where the real time recognition was not responding with results nor sending any error messages. I contacted support and it took a few days to hear back, so I had to use a different engine for my customers at the time. Later the head of product reached out to me and I was able to give feedback and since then have had much more responsive support.
The vocabulary is not as rich as other engines. Although there are ways to build custom language models, it would be nice if the base model already had a richer vocabulary for the English language.
The vocabulary is not as rich as other engines. Although there are ways to build custom language models, it would be nice if the base model already had a richer vocabulary for the English language.
What problems is the product solving and how is that benefiting you?
My product spf.io is used by customers to make their events accessible in many languages. Deepgram's real time recognition has enabled us to rely on fully automatic transcription in more situations because of the way it returns finalized transcription results with punctuation quickly with reasonable accuracy.
Powerful, accurate, scaleable and blindingly fast!
What do you like best about the product?
Our EdTech platform has tens of thousands of users, when we were using our previous transcription engine (on AWS) scalability was becoming a common issue for us. With Deepgram using the power of GPU's instead of CPU's, this immediately removed our transcription delays as we can scale when needed, and my god, it's fast. We've since been able to process a high number of transcription requests simultaneously, and completing an hour's worth of audio in under 10 seconds is incredible.
I've also got to mention its labeling and learning; this allows us to develop and increase our accuracy over time. Deepgram offer subject matter experts as a service which is great, but we're building it in a way that allows the consumer to make any edits to then feedback in to Deepgram
I've also got to mention its labeling and learning; this allows us to develop and increase our accuracy over time. Deepgram offer subject matter experts as a service which is great, but we're building it in a way that allows the consumer to make any edits to then feedback in to Deepgram
What do you dislike about the product?
So far, we haven't seen a single downside to moving to Deepgram. The functional benefits came to light immediately after swapping and one week of beta testing. One suggestion that I'd have (and this doesn't stop us from using Deepgram) would be to have an assigned Account Manager to speak with, but I should mention that they have an online chat which is also acceptable for us.
What problems is the product solving and how is that benefiting you?
In EdTech, transcription is almost seen as a must-have for SaaS providers. The speed and accuracy is vital to any players in the market. What we had noticed when using previous transcription providers was the considerable delay in receiving the complete transcription, which would quite often lead to our users thinking it's 'broken'. In using Deepgram we've been able to supercharge our transcription overnight.
Deepgram is next-gen transcription
What do you like best about the product?
Deepgram's accuracy is hands-down the best aspect of their service. When using Deepgram we saw over 93% accuracy, and it's only getting better. Deepgram also has an amazing team and support staff.
What do you dislike about the product?
Deepgram is building out more robust compliance standards, which will continue to be needed as they expand into new markets such as finance, healthcare, and SLED.
What problems is the product solving and how is that benefiting you?
Our business relies on accurate transcription to work effectively. Our company does physiographic profiling of users based on things like emails, texts, etc. Our analysis is only as good as the transcript.
Recommendations to others considering the product:
Ask for the Demo. The Deepgram staff is amazing.
Low cost. Good engineering support and APIs works flawlessly
What do you like best about the product?
The response time of APIs and the accuracy.
What do you dislike about the product?
Monologue concatenation can be improved along with numerals conversion.
What problems is the product solving and how is that benefiting you?
Speech to text. Accuracy is awesome.
Recommendations to others considering the product:
Low cost, low latency
Great experience
What do you like best about the product?
Deepgram has a high accuracy with spanish transcriptions
What do you dislike about the product?
In some cases the transcription is not according with the audio, and numbers or urls or mails come in text format. Also the tags of participants and diarization is inconsistent
What problems is the product solving and how is that benefiting you?
To get transcription from audios in spanish language. To simplify our transcription service.
Recommendations to others considering the product:
To have different data to test and verify the accuracy.
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