Amazon Transcribe vs Deepgram comparison

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Amazon Transcribe

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Executive SummaryUpdated on Apr 6, 2025

Amazon Transcribe and Deepgram are competing products in the automatic speech recognition market. Deepgram seems to take the lead due to its superior real-time processing and nuanced accuracy.

Features: Amazon Transcribe supports multiple languages, integrates seamlessly with AWS services, and offers an easy-to-use interface, making it ideal for AWS users. Deepgram is known for its speed, accuracy, and ability to handle complex audio through end-to-end deep learning models, which are advantageous for tech-focused industries.

Room for Improvement: Amazon Transcribe could enhance real-time transcription capabilities, improve integration flexibility beyond AWS, and refine its AI models. Deepgram might benefit from expanding language options, simplifying its technical setup, and providing detailed user documentation to assist those less familiar with technical deployments.

Ease of Deployment and Customer Service: Amazon Transcribe offers streamlined deployment within the AWS environment and comprehensive support for AWS users. Deepgram features a flexible API and responsive personalized customer service, but may require technical expertise for optimal deployment.

Pricing and ROI: Amazon Transcribe is cost-effective with scalable options, catering to budget-conscious enterprises. Deepgram targets clients desiring advanced functionality, with higher initial costs that potentially offer greater long-term ROI through superior transcription accuracy and efficiency.

To learn more, read our detailed Amazon Transcribe vs. Deepgram Report (Updated: April 2025).

Amazon Transcribe vs. Deepgram

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Transcribe

Ranking in Speech-To-Text Services

3rd

Average Rating

8.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Deepgram

Ranking in Speech-To-Text Services

4th

Average Rating

8.0

Reviews Sentiment

8.1

Number of Reviews

Ranking in other categories

Text-To-Speech Services (4th)

Featured Reviews

Arturo Barrantes

AWS Senior Engineer at Indra

Efficient transcription boosts projects with helpful support

Several AWS products are originally built in English and not in other languages. There is room for improvement in creating more products in Spanish for Spanish-speaking countries. For instance, the AWS Transcribe medical feature is not available in Spanish. Additionally, more detailed instructions for implementing streaming methods would be beneficial. Although the service can perform real-time transcriptions, the implementation process was challenging to understand. Improving educational resources, such as code and examples for real-time transcription, would be advantageous.

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Ariel Lindenfeld

Director of Product Management at PeerSpot

Excellent quality, great speech-to-text recognition, and responsive support

Two things come to mind for improvement. Maybe they have fixed these, or maybe there is something new, and we haven't implemented it yet. One improvement could be dual-channel audio. We've had issues in the past where it generates the transcript, and a lot of the text is duplicated. I understand why it would happen. It's an audio file with more than one channel of the same speaker, which is what may cause the duplicated text. That said, it would be great either to have a way for Deepgram to realize that it's basically the same audio on two channels and only transcribe one of them or at least give us a warning that it's happening. We've found workarounds, however, a better solution from Deepgram's side would be great. The other issue comes up when some changes are made on their end, and we want to test them. We've had one to two instances where they tell us that we have access, and we try to test something out, and it turns out we don't. When that happens, then they have to fix something on their end. It's not a big deal. We have a Slack channel with them where we can quickly touch base. We let them know, and they will get back to us and fix the access. It's not something we're doing very often.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Amazon Transcribe helps me not to fall behind in a meeting and not know what's going on. Even if I do, I have the transcript at the end to help me figure out what was said during the meeting."

"The service also benefits from cost savings, being a pay-as-you-go model with very reasonable pricing for audio transcription at $0.004 per second."

"The results I get with Transcribe are near-perfect—over 99% better than what I have experienced before."

"We don't run into any issues with bugs or glitches."

"The feature I utilized the most was transcription."

"The recognition of industry-specific terminology phrases and abbreviations is really important for us. We were able to get a good level of industry specificity with Deepgram."

"Deepgram is able to handle large volumes of audio data without compromising accuracy."

"The solution's Speech-to-Text conversion feature is really awesome."

"The speed of the solution for transcribing videos is good."

"The features that I have been using in the tool have been very stable."

Cons

"The UX and UI could be improved on the AWS console."

"Amazon S3 offers something like uploading parts, where a large file is divided into smaller parts, uploaded faster, and later reassembled. A similar feature in Transcribe would really help, making it easier to upload large file sets without spending extra time."

"I would love to see Amazon Transcribe have its own section or its own page about how to make adjustments if you're using it for accessibility."

"There is a need to improve the processing of background noise. Sometimes, surrounding sounds are recorded and Amazon Transcribe does not process these well, creating clutter."

"Several AWS products are originally built in English and not in other languages. There is room for improvement in creating more products in Spanish for Spanish-speaking countries."

"We've had issues in the past where it generates the transcript, and a lot of the text is duplicated."

"The solution does not properly identify the number of speakers."

"Deepgram is currently restricted to only the English variants, but it should include other languages, such as German or French."

"The area of live transcription could be improved. Sometimes, Deepgram's WebSocket is disposed due to redundancy."

"I would like it to be more accurate."

Pricing and Cost Advice

"I think the price on the standard is better for Amazon Transcribe than it is for Amazon Polly."

"When using Deepgram, one needs to pay for the hours or minutes for which the transcription is needed."

"The solution’s pricing is cheap."

"Deepgram is a cheap solution."

"The pricing is moderate."

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Top Industries

By visitors reading reviews

Computer Software Company

14%

Financial Services Firm

12%

University

Manufacturing Company

Financial Services Firm

12%

University

12%

Retailer

12%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What is your experience regarding pricing and costs for Amazon Transcribe?

My billing for Transcribe varies. As mentioned, the cost for Transcribe is usually very low. I would need to check my records for exact amounts, but it is typically minimal.

What needs improvement with Amazon Transcribe?

What is your primary use case for Amazon Transcribe?

I am a software developer, and I develop medical applications that transcribe appointments between doctors and patients. Afterward, the transcription is processed to create a report based on specif...

What is your experience regarding pricing and costs for Deepgram?

The pricing was very good. Although the competitors also would have saved us a lot of money, we were mainly looking for the right level of quality of the transcript.

What needs improvement with Deepgram?

What is your primary use case for Deepgram?

We primarily use the solution for transcribing speech to text. We use it to record phone calls and meetings and then transcribe them.

Microsoft Azure Speech Service vs Amazon Transcribe

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Compared 21% of the time

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Compared 12% of the time

Google Cloud Text-to-Speech vs Deepgram

Compared 10% of the time

Speechmatics vs Deepgram

Compared 7% of the time

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Product Reports

Speech-To-Text Services

Download Amazon Transcribe product report

Download Deepgram product report

Overview

Amazon Transcribe makes it easy for developers to add speech-to-text capability to their applications. Audio data is virtually impossible for computers to search and analyze. Therefore, recorded speech needs to be converted to text before it can be used in applications. Historically, customers had to work with transcription providers that required them to sign expensive contracts and were hard to integrate into their technology stacks to accomplish this task. Many of these providers use outdated technology that does not adapt well to different scenarios, like low-fidelity phone audio common in contact centers, which results in poor accuracy.

Amazon Transcribe uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately. Amazon Transcribe can be used to transcribe customer service calls, to automate closed captioning and subtitling, and to generate metadata for media assets to create a fully searchable archive. You can use Amazon Transcribe Medical to add medical speech to text capabilities to clinical documentation applications.

Amazon Web Services (AWS)

Deepgram stands out for its speed in transcribing videos and speech to text, leveraging cutting-edge models like Whisper and Nova for exceptional performance and accuracy. Its latency is remarkably low, enabling swift transcription that users find superior to alternatives.

Deepgram provides an efficient solution for transforming video and audio content into text, benefiting from its advanced ability to recognize industry-specific terminology. Users experience faster results compared to IBM Watson and OpenAI's Whisper model, with low latency contributing to its appeal. However, challenges in speaker recognition and language support remain areas for improvement. Additionally, stronger spelling and grammar accuracy could enhance its performance. Some seek expanded multi-language capabilities and improved manageability during testing phases, noting its slightly less accuracy compared to other tools.

What are Deepgram's most notable features?

Rapid Transcription: Utilizes cutting-edge models for quick speech-to-text conversion.
Industry Terminology Recognition: Excels in comprehending specific jargon and abbreviations.
Low Latency: Offers transcription with minimal delay, approximately 0.5 to 1 second.
Model Integration: Employs Whisper model combined with Nova for high accuracy.

What benefits should users look for when evaluating Deepgram?

High Speed: Significant improvement in processing time over competitors.
Performance Satisfaction: Users appreciate faster and more fluid transcription.
Textual Accuracy: Enhancements can lead to more reliable outputs in transcripts.
Streamlined Processes: Features like punctuation and Smart Format boost efficiency.

Deepgram is widely implemented across industries for transcribing speech to text, often used by organizations for generating machine transcripts of legal proceedings and other vital communications. Teams deploy it on local systems to convert videos and phone calls, integrating speech recognition seamlessly into applications.

Sample Customers

Echo360, VidMob, RingDNA, Isentia

Information Not Available

Amazon Transcribe vs. Deepgram