Amazon Transcribe vs Deepgram comparison

Read 11 Deepgram reviews

2,627 Views
1,471 Comparison Views

81% willing to recommend

Amazon Transcribe

Comparison Buyer's Guide

Download the report

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: June 2026).

Amazon Transcribe vs. Deepgram

June 2026

Download the complete report

Helped 904,016 peers since 2012

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

5th

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

1st

Average Rating

8.4

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

Text-To-Speech Services (2nd), AI Customer Support (8th), AI Sales & Marketing (8th), AI Scheduling & Coordination (2nd)

Mindshare comparison

As of July 2026, in the Speech-To-Text Services category, the mindshare of Amazon Transcribe is 10.5%, down from 12.1% compared to the previous year. The mindshare of Deepgram is 15.1%, down from 17.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Speech-To-Text Services Mindshare Distribution
Product	Mindshare (%)
Deepgram	15.1%
Amazon Transcribe	10.5%
Other	74.4%

Speech-To-Text Services

Featured Reviews

Anubhav Garg

Senior Software Developer at a tech vendor with 10,001+ employees

Efficient voice-to-text conversion enhances communication and advertising efforts

The valuable aspect of Amazon Transcribe is its ability to perform speech recognition and convert it into text. It's highly compatible with a serverless environment, making it easy to trigger the service and get results. Although no specific features handle diverse accents or dialects effectively, the scalability and ease of use are notable. It provides the best results for our needs, is highly scalable, and easy to manage. 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.

Read full review

Arunkumar HG

Technology Architect & Hands-On Leader | Prototyping, Automation, AI/LLM Integration | 20+ Years in at Regalix

A Powerful, Adaptable, and Constantly Evolving STT Solution for Voice Automation

Honestly, Deepgram has been exceptionally proactive in addressing the primary area that needed improvement. My main challenge was with the real-time detection of when a user has finished speaking in a live conversation, which is critical for a responsive voice bot. They directly solved this by releasing their Flux model. Because Flux is a recent release, I haven't yet had enough time to thoroughly test it and identify new limitations. At this stage, any "improvement" would be more of a "nice-to-have" feature rather than a fix for an existing problem. The core service is already very robust and meets all of our current needs. What additional features should be included in the next release? ---------------------------------------------------------------- Looking toward the future, here are a few features that could add even more value to an already excellent platform: * Advanced Built-in Analytics: While I can get the raw transcript and build my own analytics pipeline, it would be powerful to have features like sentiment analysis, emotion detection, or automatic summarization offered directly through the API. This would save significant development time. * More Granular Speaker Diarization: For calls with multiple participants, enhancing the real-time speaker diarization (labeling who is speaking) to be even more precise would be a fantastic addition for creating detailed call analyses. * Tighter Integration with TTS: Since Deepgram is also expanding into Text-to-Speech (TTS), offering a more seamlessly integrated STT-to-TTS pipeline could simplify the development stack for creating voice agents from start to finish. * Specialized, Pre-Trained Industry Models: While the general models are highly accurate, offering even more specialized, pre-trained models for specific industries like finance, healthcare, or legal-which are heavy on specific jargon-could push the accuracy even higher for those niche use cases.

Read full review

Quotes from Members

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

Pros

"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."

"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."

"AWS Transcribe is the most useful feature for us right now."

"There have been significant efficiency gains, as direct implementation with the SDK code and deployment with CloudFormation was straightforward, making it profitable in terms of effectiveness and helping me present a minimum viable product to potential clients, convincing them to hire me."

"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 feature I utilized the most was transcription."

"The most valuable capabilities of Deepgram that I've found so far include low latency, as it offers less than 200 milliseconds, which is not provided by any other text-to-speech models."

"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."

"The ROI has been excellent; the cost is night and day compared to the cost of human transcription, and we're spending maybe a tenth of the cost we would if we were still doing manual transcriptions."

"The best features of Deepgram for me are the level of transcription accuracy it provides and the amount of time it saves."

"We have tracked a reduction of around 70% in the support cost and direct human interaction for support."

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

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

"Deepgram has significantly improved our transcription process in terms of speed and accuracy, allowing us to efficiently convert verbal feedback into text, enabling quicker analysis and implementation of new features."

More Deepgram pros

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."

"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."

"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."

"I would like it to be more accurate."

"When I had an AI interview for coding, Deepgram didn't capture the names of programming languages or well-known LLMs accurately all the time."

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

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

"Even though Deepgram has many customization options, I wish that Deepgram had voice cloning customization to a much larger extent."

"I would not recommend Deepgram to other users because it does not properly identify video communication."

"Deepgram has a vast UI and a vast range of models, but there could be a simpler version for creating AI agents rather than providing a full-fledged platform for minimal use cases."

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

More Deepgram cons

Pricing and Cost Advice

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

"The pricing is moderate."

"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."

See which vendors are best for you

Use our free recommendation engine to learn which Speech-To-Text Services solutions are best for your needs.

See recommendations

904,016 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

12%

Financial Services Firm

Insurance Company

University

Educational Organization

10%

Construction Company

Financial Services Firm

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	1
Large Enterprise	1

Questions from the Community

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

The pay-as-you-go model is cost-effective, with pricing for audio transcription around $0.004 per second.

What needs improvement with Amazon Transcribe?

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. Adding functionality t...

What is your primary use case for Amazon Transcribe?

We are using Amazon Transcribe ( /products/amazon-transcribe-reviews ) to convert voice to text. For example, we communicate over the phone, record the call, and then convert the conversation into ...

What is your experience regarding pricing and costs for Deepgram?

My experience with pricing, setup cost, and licensing is that pricing is seamless and customizable as needed. Currently, we use the growth plan. For enterprise, they offer a higher tier, so it is c...

What needs improvement with Deepgram?

Deepgram has a vast UI and a vast range of models, but there could be a simpler version for creating AI agents rather than providing a full-fledged platform for minimal use cases. It could be multi...

What is your primary use case for Deepgram?

My main use case for Deepgram is creating voice agents to automate the customer support part and reply to FAQs and customer queries. Deepgram has multiple models, speech to text and text to speech ...

Google Cloud Speech-to-Text vs Amazon Transcribe

Comparisons

Compared 23% of the time

Microsoft Azure Speech Service vs Amazon Transcribe

Compared 19% of the time

AssemblyAI vs Amazon Transcribe

Compared 13% of the time

Speechmatics vs Amazon Transcribe

Compared 12% of the time

IBM Watson Speech To Text vs Amazon Transcribe

Compared 6% of the time

More Amazon Transcribe Competitors

Gladia vs Deepgram

Compared 15% of the time

Microsoft Azure Speech Service vs Deepgram

Compared 14% of the time

AssemblyAI vs Deepgram

Compared 10% of the time

Google Cloud Speech-to-Text vs Deepgram

Compared 9% of the time

Sarvam AI Sarvam Samvaad vs Deepgram

Compared 8% of the time

More Deepgram Competitors

Product Reports

Download Amazon Transcribe product report

Speech-To-Text Services

July 2026

Download Deepgram product report

July 2026

Overview

Amazon Transcribe offers high accuracy speech-to-text with customizable lexicons and cost-efficient pricing, seamlessly integrating into serverless environments. It's used for transcribing meetings, videos, and educational classes with ease and minimal setup.

Amazon Transcribe provides a robust speech-to-text service that integrates effortlessly into cloud-based applications, offering customizable lexicons and cost-efficient models. Its scalability ensures efficient management with a strong security focus. While its core functionality shines in various transcriptions like meetings and educational classes, it's capable of custom integrations with services like Bedrock or ChatGPT. Dashboards and comprehensive documentation further streamline the user experience, although improvements in console UX/UI and real-time captioning could enhance accessibility. Users find uploading large files time-consuming and note limited support for Spanish, especially in medical contexts. Enhanced background noise processing and detailed resources for streaming methods are also needed.

What are the key features of Amazon Transcribe?

High Accuracy: Provides reliable speech-to-text conversion for complex audio.
Customizable Lexicons: Tailor vocabulary to fit specialized vocabulary needs.
Seamless Integration: Compatible with serverless platforms for easy deployment.
Scalability: Efficiently handles large-scale transcription tasks.
Custom Integration: Integrate with tools like Bedrock and ChatGPT for enhanced functionality.

What benefits should users seek in reviews?

Ease of Use: Minimal setup for quick deployments and use.
Cost Efficiency: Competitive pricing for budget-friendly transcription solutions.
Security: Reliable data management with strong security measures.
User Experience: Comprehensive dashboards and documentation for smooth operation.

In educational sectors, Amazon Transcribe is pivotal for converting lectures into insightful summaries and enhancing accessibility. Developers utilize it extensively in medical fields for transcribing appointments and creating comprehensive reports. Companies transcribe meetings for detailed records and employ text from large language models for targeted advertising, showcasing its versatility across industries.

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