---
title: Deepgram Reviews
meta_title: 'Deepgram Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 474 reviews by the users' company size, role or industry
  to find out how Deepgram works for a business like yours.
aggregate_rating:
  rating_value: 4.6
  review_count: 474
  scale: '5'
date_modified: '2026-08-12'
parent_category:
  name: Deep Learning
  url: https://www.g2.com/categories/deep-learning
---


# Deepgram Reviews
**Vendor:** Deepgram  
**Category:** [Voice Recognition Software](https://www.g2.com/categories/voice-recognition)  
**Average Rating:** 4.6/5.0  
**Total Reviews:** 474
## About Deepgram
Enterprise Voice AI platform designed for developers building voice-first products using speech-to-text, text-to-speech, or speech-to-speech APIs. Over 200,000 developers build with Deepgram&#39;s voice-native foundational models, accessed via APIs or self-managed software. Start building with $200 in free credits! Beyond that, developers can: 🔊 Process live-streaming or pre-recorded audio with superior accuracy 🗣️ Convert text into natural-sounding AI voices for enterprise use cases with text-to-speech ⚡️ Easily build voice agents with our unified Voice Agent API 🌎 Accurately transcribe audio in over 36+ languages ⚙️ Train custom models for unique use cases 🔑 Access deep NLU with a unified API 💻 Build in any programming language with our SDKs ✅ Deploy on-prem or on DG’s managed cloud 📈 Get scalable GPU infra for training and inference



## Deepgram Pros & Cons
**What users like:**

- Users highlight the **high accuracy** of Deepgram, appreciating its fast and reliable speech-to-text capabilities. (38 reviews)
- Users praise the **fast and reliable transcriptions** of Deepgram, significantly saving time in their workflows. (36 reviews)
- Users appreciate the **ease of use** of Deepgram, thanks to its simple API and extensive language support. (35 reviews)
- Users praise the **excellent transcription accuracy** of Deepgram, consistently benefiting from its efficient audio processing capabilities. (34 reviews)
- Users commend Deepgram for its **fast and accurate real-time transcription** , enhancing various applications like call analysis and subtitling. (28 reviews)
- Users appreciate the **high accuracy and reliability** of Deepgram&#39;s speech-to-text conversion, even in challenging environments. (24 reviews)
- Users admire Deepgram for its **high transcription accuracy** , efficiently handling various audio types and accents. (19 reviews)
- Text to Speech (18 reviews)
- Easy Integrations (17 reviews)
- Efficiency (17 reviews)

**What users dislike:**

- Users note a **lack of language support** in Deepgram, limiting usability and versatility for global audiences. (17 reviews)
- Users find Deepgram&#39;s **pricing issues** concerning, especially for large projects and startups with limited budgets. (14 reviews)
- Users find the **pricing a bit high** for large projects, making it challenging for startups and students. (13 reviews)
- Users experience **inaccuracy issues** with Deepgram, including missed words and limited language support affecting transcription quality. (9 reviews)
- Users note the **limited language support** in Deepgram, though improvements are being made to expand options. (8 reviews)
- Users note that **improvement is needed** in Deepgram&#39;s speaker diarization for a better overall experience. (7 reviews)
- Users notice **inaccuracy** in Deepgram&#39;s transcriptions, especially in noisy environments and with technical terminology. (6 reviews)
- Learning Difficulty (6 reviews)
- Noise Issues (6 reviews)
- Users find the **accent recognition accuracy inconsistent** , particularly with heavy accents and background noise affecting performance. (5 reviews)

## Deepgram Reviews
  ### 1. A Reliable, Fundamental Part of Our Speech Pipeline

**Rating:** 2.5/5.0 stars

**Reviewed by:** Ben M. | Senior Test Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** July 27, 2026

**What do you like best about Deepgram?**

Ease of integration and UI/UX flow and feel.

**What do you dislike about Deepgram?**

There isn't much to complain about, but a couple of areas could be improved. The documentation could use more real-world examples for less common use cases, and it would be great to see more granular usage/cost breakdowns in the dashboard for larger projects. Occasionally we've run into minor accuracy dips with heavily accented or noisy audio, though overall performance is strong.

**What problems is Deepgram solving and how is that benefiting you?**

We use Deepgram's speech-to-text as a core part of our project, Berkshire Scanner. Before adopting it, we struggled to get fast, accurate transcription at scale from live and recorded audio. Deepgram has become a fundamental piece of our pipeline, giving us reliable, low-latency transcription that we can build features on top of. It's saved us significant engineering time compared to building or maintaining our own speech recognition solution.

**Official Response from Emily Coleman:**

> Thank you for the thoughtful review, and it means a lot that Deepgram has become a fundamental part of your project. It's especially exciting to hear that you've improved your transcription accuracy and have even saved engineering hours. I'm passing along your feedback to both to our docs and product teams.

  ### 2. Solid Tech with Limitations in Real-Time Applications

**Rating:** 3.0/5.0 stars

**Reviewed by:** Yesid T. | Small-Business (50 or fewer emp.)

**Reviewed Date:** March 12, 2026

**What do you like best about Deepgram?**

I think the SDK and WebSocket API are clean, which made setting up the streaming connection pretty straightforward. Running two separate WebSocket streams for my microphone and system audio worked well, and the connection was stable. The JSON message format also made sense, and the reconnection logic was easy to implement. From a developer experience standpoint, getting the basics up and running felt smooth. Nova three looked really promising with its impressive accuracy benchmarks and good latency numbers. Features like smart formatting and punctuation worked well out of the box. Deepgram has solid technology, and Nova three is a capable model with a good API design.

**What do you dislike about Deepgram?**

The first big challenge was actually turn detection. Deepgram fires these utterance end events based on silence and the problem is it fires on every pause, not once per complete thought. So, in a real meeting, when someone is talking and they just pause for a breath or to think for half a second, it results in separate fragments. I spent a lot of time trying to tune utterance and milliseconds. It always felt like I was fighting the system instead of working with it. The second issue was real world accuracy. When I compared what Deepgram transcribed to what Loom captured, the differences were rough. Domain-specific words were getting hallucinated into completely wrong things, like 'contractor role' turning into 'podcast show.' And the key term prompting feature in Nova three, which could have helped, felt static, and I never got it properly integrated during development. The feature could be more accessible or documented better. The third thing was transcript mutability. Deepgram's streaming results are mutable, which makes sense technically, but for a real-time UI, it creates a flickering effect where text keeps changing. This made the experience feel unreliable from the user's perspective.

**What problems is Deepgram solving and how is that benefiting you?**

I use Deepgram for building a real-time meeting assistant as a speech-to-text provider to transcribe speech from any input, making it easier to connect with AI models for generating responses in meetings.

  ### 3. Great Streaming, But Language Support Needs Improvement

**Rating:** 3.0/5.0 stars

**Reviewed by:** Gabriel S. | Small-Business (50 or fewer emp.)

**Reviewed Date:** March 12, 2026

**What do you like best about Deepgram?**

I found the WebSocket and streaming use to be a lot easier and more consistent with Deepgram, which I also found better for multilingual use. The quality of the model is great, and the streaming functionality is awesome. I appreciated how the API is pretty easy to use, and some of the documentation is helpful. The ease of integration was something I liked, and the $200 free credits gave me a chance to test the quality of the platform, which was cool and provided some return.

**What do you dislike about Deepgram?**

I think Deepgram needs to support more languages. It didn't work well with multilingual users speaking multiple languages in the same sentence, which is an issue for my European customers. Also, the real-time transcript doesn't handle voice commands properly, saying 'comma' instead of adding punctuation. It would be great to have low latency like Mac dictation for ease of use.

**What problems is Deepgram solving and how is that benefiting you?**

Deepgram enhances my speech-to-text tool by supporting multiple languages and streaming with a low word error rate.

  ### 4. High-Quality Transcriptions, Needs Better Diarization

**Rating:** 3.0/5.0 stars

**Reviewed by:** Stephen K. | Small-Business (50 or fewer emp.)

**Reviewed Date:** March 12, 2026

**What do you like best about Deepgram?**

I like Deepgram for its high-quality transcription and low latency. The ability to look for specific keywords and different things is beneficial, and the API seems pretty solid. I also appreciate that I'm able to put in keywords so they show up properly, which is especially helpful for words outside of the English vocabulary. The setup was quite easy too.

**What do you dislike about Deepgram?**

Diarization could be faster and better. I guess diarization would be the thing I'd love the most improvement at.

**What problems is Deepgram solving and how is that benefiting you?**

I find Deepgram faster and easier to use than local solutions, enabling clients to transcribe efficiently. The high-quality transcription with low latency and solid API are valuable. Its keyword feature ensures even atypical words are captured correctly, enhancing overall transcription accuracy.

  ### 5. Fast and Easy Transcription, But Pricey

**Rating:** 3.0/5.0 stars

**Reviewed by:** Verified User | Small-Business (50 or fewer emp.)

**Reviewed Date:** July 29, 2026

**What do you like best about Deepgram?**

I use Deepgram for transcription, and I like how it's fast and accurate. It's easy to use; I just grab the API key and it works. The initial setup was also easy.

**What do you dislike about Deepgram?**

I find it too expensive.

**What problems is Deepgram solving and how is that benefiting you?**

I use Deepgram for fast and accurate transcription. It's easy to use; just grab the API key and it works.

**Official Response from Emily Coleman:**

> Thank you for taking the time to leave us a review. We're glad the setup was quick and that the transcription has been fast and accurate for you. If your company is early-stage, our Startup Program has credits starting at $1,000 that may be worth a look.

  ### 6. Setup Was Simple, but High Support Costs

**Rating:** 3.0/5.0 stars

**Reviewed by:** Daniel S. | CEO, Small-Business (50 or fewer emp.)

**Reviewed Date:** March 15, 2026

**What do you like best about Deepgram?**

I like that the setup was relatively simple, which made getting started with Deepgram easier for us. I also appreciate the support being available 24/7, which is crucial for resolving issues anytime.

**What do you dislike about Deepgram?**

The $5k support fee made no sense, especially since we only used it twice, and we're moving to a different provider because of that. There was also another $5k that actually counted towards our credits.

**What problems is Deepgram solving and how is that benefiting you?**

I use Deepgram for AI scribe voice transcription in medical voice AI.

  ### 7. Deepgram is easy and inexpensive, but transcription quality is far below a human-edited transcript

**Rating:** 3.0/5.0 stars

**Reviewed by:** Chris H. | Small-Business (50 or fewer emp.)

**Reviewed Date:** March 07, 2023

**What do you like best about Deepgram?**

The price is reasonable, the documentation is mostly excellent, and a basic integration is easy to get going. The API is a pleasure to work with, and the backend is visually well-designed.

**What do you dislike about Deepgram?**

Very minor issues: Usage monitoring could be a little better. I've also found a few spots where the documentation was out-of-date or vague.

More significant issues: The transcription quality is comparable to other services I've used, but still nowhere near good enough to transcribe our podcasts reliably without a LOT of editing. The "keywords" feature can help a little, but it's not perfect. I also had to jump through many hoops to use entire phrases as keywords (such as a brand name or a person's full name). That isn't officially supported (not sure why), but it's so essential that it was worth hacking around that limitation.

**What problems is Deepgram solving and how is that benefiting you?**

We're using Deepgram to transcribe podcast episodes for an online publication automatically. Right now, the transcription quality isn't good enough for us to publicize them, but hopefully they're helpful for episode SEO and possibly for accessibility. We don't have the resources to have a human edit each transcript, as we're putting out 10+ episodes per week.

  ### 8. Very easy to start using and good results. Hard to find actual cost for using in bulk speech to text

**Rating:** 3.0/5.0 stars

**Reviewed by:** Sebastian P. | Machine Learning Engineer - Data Scientist, Small-Business (50 or fewer emp.)

**Reviewed Date:** May 22, 2022

**What do you like best about Deepgram?**

Very Good and easy interface. Many different ways to access the tool. Good performance. Better than Vosk and similar to Google. We use mainly use Python as an interface.

**What do you dislike about Deepgram?**

Couldnt easily find the price for the tool. If I saw quickly it could be cheaper than our current tool I would keep on trying. I would like models that can perform with music in the background

**What problems is Deepgram solving and how is that benefiting you?**

We do speech-to-text to publicity spots videos in Spanish. We need high-quality text for doing afterward NLP projects. We are trying different tools finding a budget performance equilibrium

  ### 9. Easy to use STT APIs

**Rating:** 3.0/5.0 stars

**Reviewed by:** Dhruv J. | Founding Engineer, Small-Business (50 or fewer emp.)

**Reviewed Date:** June 14, 2022

**What do you like best about Deepgram?**

Deepgram SDK's are very well defined and easy to integrate.

**What do you dislike about Deepgram?**

The response time of speech to text is a little high. Hindi support would be helpful too.

**What problems is Deepgram solving and how is that benefiting you?**

Speech to text API's of Deepgram are useful to us,


## Deepgram Discussions
  - [What is the best way to use the keywords, search, numerals and other parameters inside the API call?](https://www.g2.com/discussions/what-is-the-best-way-to-use-the-keywords-search-numerals-and-other-parameters-inside-the-api-call) - 1 comment, 1 upvote
  - [What is Deepgram used for?](https://www.g2.com/discussions/what-is-deepgram-used-for) - 1 comment

- [View Deepgram pricing details and edition comparison](https://www.g2.com/products/deepgram/reviews?filters%5Bnps_score%5D%5B%5D=3&section=pricing&secure%5Bexpires_at%5D=2026-08-12+17%3A33%3A04+-0500&secure%5Bsession_id%5D=bc77b4be-6fa4-4b0f-9574-8bbfdc389904&secure%5Btoken%5D=d971126da838f5cf8ce761b4066165988de808108943d798f84e3798b2bd3350&format=llm_user)
## Deepgram Integrations
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## Deepgram Features
**Additional Functionality**
- Tagging
- Natural Language Processing
- Data Extraction
- Multi-Language
- Predictive Analytics
- Drag & Drop
- Speech Recognition
- Reporting/Analytics
- Data Storage Management
- Virtual Personal Assistant (VPA)
- AI Copilot
- Customer Segmentation
- Collaboration Tools
- Data Import/Export
- Generative AI
- For eCommerce
- Role-Based Permissions
- Customizable Branding
- Search/Filter
- Monitoring
- Document Management
- API
- Data Visualization
- Trend Analysis
- Machine Learning
- Access Controls/Permissions
- Alerts/Escalation
- Performance Metrics
- Real-Time Data
- Third-Party Integrations
- Mobile App
- Multiple Data Sources
- For Sales Teams/Organizations
- Sentiment Analysis
- Activity Dashboard
- Chatbot
- Workflow Automation

**Additional Functionality**
- No-Code
- Search/Filter
- Data Import/Export
- Data Visualization
- Activity Dashboard
- Workflow Management
- Quality Control
- Third-Party Integrations
- Model Training
- Multi-Language
- Data Profiling
- Visualization
- Data Capture and Transfer
- Predictive Analytics
- Performance Metrics
- Image Recognition
- Version Control
- Neural Network Modeling
- Generative AI
- Synchronous Learning
- Natural Language Processing
- Monitoring
- Data Transformation
- Customizable Reports
- Voice Recognition
- Performance Management
- Compliance Management
- Troubleshooting
- Content Management
- Asynchronous Learning
- Real-Time Reporting
- API
- Artificial Neural Networks
- AI Copilot
- ML Algorithm Library
- Real-Time Data
- Collaboration Tools
- Self-paced Learning
- Data Extraction
- Configuration Management
- Data Security
- Visual Analytics
- Activity Tracking
- Continuous Delivery
- Document Classification
- Image Analysis
- Progress Tracking
- Reporting & Statistics
- Real-Time Monitoring

**Additional Functionality**
- Code Generation
- Text to Image
- Generative AI
- API
- Natural Language Processing
- Virtual Characters and Avatars
- Content Generation
- Personalization and Recommendation
- Conditional Generation
- Transformer Model
- Automated Image & Video Editing
- Interactive and Co-Creative Systems
- Text Summarization
- Data Augmentation
- Variation Autoencoder Models
- Adversarial Training
- Transfer Learning and Fine-tuning
- Simulation and Scenario Generation
- Creative Design
- AI Copilot
- Prompt Engineering
- Foundation Model

**Algorithm**
- Part of Speech Tagging
- Summarization
- Named Entity Recognition
- Sentiment Analysis
- Emotion Detection
- Language Detection

**Integration**
- Application Integration
- Real-Time Streaming
- Integration
- Integration

**Audio**
- Accents
- Range of Tones
- Languages

**Deployment & Integration - Voice Recognition**
- Installation & setup Ease
- Developer API & SDK
- Software Integration
- Multi-Device Support
- Multiple Format Support
- Video Support
- Third-Party Integrations

**Voice Recognition - AI Voice Assistants**
- Voice Recognition

**SDK Architecture & Libraries - AI SDK**
- Modular SDK Components
- Cross-Platform SDK Support
- Client Libraries

**System**
- Data Ingestion & Wrangling
- Programming Language Support
- Drag and Drop
- Pre-Built Algorithms
- Customizable Models

**Speech Output**
- Speed
- Pronunciation
- Accent
- Emotion
- Speaking Styles
- Speech Output
- Speech Output
- Speech Output
- Speech Output
- Speech Output

**Performance Optimization - Voice Recognition**
- Accuracy in Noisy Settings
- High-Volume Scalability
- Environmental Noise Adaptation
- Multilingual Voice Recognition
- Low-Latency Processing

**Speech Synthesis - AI Voice Assistants**
- Speech Synthesis
- Customizable speech
- Multiple voice actions

**Model Integration - AI SDK**
- Multi-Model Integration
- Streaming & Real-Time Responses
- Model API Wrappers

**Audio Format**
- Natural Sounding Voices
- Audio Format Flexibility
- Audio Optimization
- Audio Format
- Custom Voices
- Multi-Voice

**Security & Compliance - Voice Recognition**
- Liveness Detection
- Regulatory Compliance
- Secure Communication Channels

**Security and privacy - AI Voice Assistants**
- Encrypted communication

**Application Development - AI SDK**
- SDK Extensibility
- AI Workflow Abstractions
- Agent & Tool Invocation Frameworks

**Generative AI**
- AI Text-to-Speech
- Gen AI 
- Generative AI

**Advanced AI & Biometric Features - Voice Recognition**
- Voice-Based Authentication
- Machine Learning & Adaptive Speech Recognition
- Speaker Differentiation
- Sentiment & Tone Analysis
- Concatenated Speech
- Speech-to-Text Analysis

**Compatibility - AI Voice Assistants**
- Cross platform compatibility

**Deployment & Operations - AI SDK**
- Logging & Observability
- Authentication & Access Management
- Error Handling & Retry Logic

**Additional Functionality**
- For Online Learning
- Grammar Check
- Audio Editor
- For Sales Teams/Organizations
- Analytics
- WCAG Compliance
- Content Library
- Publishing/Sharing
- Chatbot
- Content Creation
- Data Management
- AI Copilot
- Speech Recognition
- Collaboration Tools
- Text Analysis
- Phonetic Variation Detection
- Voice Generator
- SSML Support
- Transcripts/Chat History
- For Marketers
- Speech-to-Text Analysis
- Project Management
- Multi-Language
- Machine Translation
- Natural Language Processing
- API

**Platform**
- Collaboration
- Speed of Generation

**Agentic AI - Voice Recognition**
- Natural Language Interaction
- Multi-Language

**Additional Functionality**
- Search/Filter
- AI Copilot
- Call Transfer
- Document Review
- API
- Performance Management
- Status Tracking
- Audio Capture
- Automatic Transcription
- Call Reporting
- Full Text Search
- Text Editing
- Document Management
- Data Import/Export
- Reporting/Analytics
- Activity Dashboard
- Call Routing
- IVR
- SSL Security
- Call Scripting
- Real-Time Data
- Video Management
- Secure Data Storage
- Generative AI
- Call Recording
- Customizable Macros
- Contact Management
- CRM
- Automatic Formatting
- Automatic Call Distribution
- Monitoring
- Drag & Drop
- Call Monitoring
- Call Center Management
- Voice Mail
- Compliance Management

**Generative AI**
- AI Text-to-Speech

## Top Deepgram Alternatives
  - [Google Cloud Speech-to-Text](https://www.g2.com/products/google-cloud-speech-to-text/reviews) - 4.5/5.0 (304 reviews)
  - [Krisp](https://www.g2.com/products/krisp/reviews) - 4.7/5.0 (1,559 reviews)
  - [Otter.ai](https://www.g2.com/products/otter-ai/reviews) - 4.4/5.0 (498 reviews)

