Best Enterprise Voice Recognition Software

How Many Voice Recognition Software Products Does G2 Track?

Total Products under this Category: 474

Category Stats (Nov 2026)

  • Average Rating: 4.5/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Modulate Platform (+3.64%) - Among all products in this category, Modulate Platform recorded the largest rating increase compared to last month

Last updated: November 01, 2026

How Does G2 Rank Voice Recognition Software Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 5,600+ Authentic Reviews
  • 474+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Voice Recognition Software

G2 Grid® for Voice Recognition Software plotting products by satisfaction and market presence

Highlighted products: Google Cloud Speech-to-Text, Sanas, Azure AI Speech, Krisp, Speechmatics, and Deepgram.

Underlying data: [Grid® JSON](https://www.g2.com/categories/voice-recognition/grids.json?focus%5B%5D=google-cloud-speech-to-text&focus%5B%5D=sanas&focus%5B%5D=azure-ai-speech&focus%5B%5D=krisp&focus%5B%5D=speechmatics&focus%5B%5D=deepgram&segment=enterprise)

Google Cloud Speech-to-Text

Google Cloud’s Speech API processes more than 1 billion voice minutes per month with close to human levels of understanding for many commonly spoken languages. Powered by the best of Google's AI research and technology, Google Cloud's Speech-to-Text API helps you accurately transcribe speech into text in 73 languages and 137 different local variants. Leverage Google’s most advanced deep learning neural network algorithms for automatic speech recognition (ASR) and deploy ASR wherever you need it, whether in the cloud with the API, on-premises with Speech-to-Text On-Prem, or locally on any device with Speech On-Device.

Average Rating: 4.5/5.0

Total Reviews: 310

How Do G2 Users Rate Google Cloud Speech-to-Text?

  • Has the product been a good partner in doing business?: 8.9/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.9/10 (Category avg: 8.6/10)
  • Ease of Setup: 8.7/10 (Category avg: 8.8/10)
  • Quality of Support: 8.8/10 (Category avg: 8.8/10)

Who Is the Company Behind Google Cloud Speech-to-Text?

  • Seller: Google
  • Year Founded: 1998
  • HQ Location: Mountain View, CA
  • LinkedIn® Page: www.linkedin.com
    301,144 employees on LinkedIn®
  • Ownership: NASDAQ:GOOG
  • Phone: +1 (650) 253-0000

Who Uses This Product?

  • Who Uses This: Data Engineer, Senior Software Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Small, 37% Medium

What Do G2 Reviewers Say About Google Cloud Speech-to-Text?

AI-generated summary from verified user reviews

Pros
  • Users find Google Cloud Speech-to-Text incredibly easy to use, simplifying audio recording and transcription effortlessly.
  • Users benefit from the high accuracy and real-time transcriptions of Google Cloud Speech-to-Text, enhancing their meeting summaries.
  • Users praise the exceptional transcription accuracy of Google Cloud Speech-to-Text, enhancing their meeting experience and workflow.
  • Users are impressed by the high accuracy of Google Cloud Speech-to-Text, even in challenging environments and diverse languages.
  • Users love the real-time transcription of Google Cloud Speech-to-Text, enhancing workflow and capturing important meeting details instantly.
Cons
  • Users find the service expensive, especially with high audio processing volumes or longer audio files.
  • Users find that the pricing can become expensive when processing high volumes of audio, impacting overall value.
  • Users experience accuracy issues with Google Cloud Speech-to-Text, often requiring manual corrections for effective transcription.
  • Users find the complexity of managing access to Google Cloud Speech-to-Text can lead to confusion and delays.
  • Users note that the cost can creep up significantly when processing large volumes of audio, impacting budget management.

What Are Recent G2 Reviews of Google Cloud Speech-to-Text?

Sanas

Sanas is a real-time Speech AI platform built to power global enterprise and communications platforms. Founded in 2021 in Palo Alto, California, Sanas enables speech to be understood clearly and naturally across languages, accents, and environments — with real-time speech enhancement, accent transformation, and language understanding that can be embedded directly into applications, platforms, and communications infrastructure. It's built for CX, operations, and IT leaders at contact centers and global enterprises across healthcare, financial services, retail, travel, and telecommunications who want to raise CSAT, cut handle times, and hire beyond geographic limits. Our platform brings four capabilities to every call: - Accent Translation modulates accents in real time while preserving each speaker's voice and emotion. - Language Translation covers 25+ languages without losing tone or intent. - Speech Enhancement turns low-quality, noisy audio into clear, natural conversation. - Speech Intelligence surfaces insights from every interaction without sensitive data leaving the device. Contact centers and enterprise teams in healthcare, financial services, retail, travel, and telecommunications use Sanas to raise CSAT, shorten handle times, and expand where they hire. Sanas is HITRUST, SOC 2, SOC 3, ISO 27001, HIPAA, GDPR, and PCI DSS compliant, and never monitors, records, or stores call data.

Average Rating: 4.7/5.0

Total Reviews: 89

How Do G2 Users Rate Sanas?

  • Has the product been a good partner in doing business?: 9.7/10 (Category avg: 8.9/10)
  • Ease of Admin: 9.2/10 (Category avg: 8.6/10)
  • Ease of Setup: 9.1/10 (Category avg: 8.8/10)
  • Quality of Support: 9.4/10 (Category avg: 8.8/10)

Who Is the Company Behind Sanas?

  • Seller: Sanas.ai
  • Company Website:
  • Year Founded: 2021
  • HQ Location: Palo Alto, US
  • LinkedIn® Page: www.linkedin.com
    301 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Founder
  • Top Industries: Information Technology and Services, Outsourcing/Offshoring
  • Company Size: 50% Large, 31% Medium

What Are Recent G2 Reviews of Sanas?

Azure AI Speech

Azure AI Speech is a comprehensive suite of AI-powered speech services designed to enhance applications with advanced voice capabilities. It offers developers tools to integrate features such as speech-to-text, text-to-speech, speech translation, and speaker recognition into their applications, enabling natural and efficient voice interactions. Key Features and Functionality: - Speech-to-Text: Accurately transcribe spoken language into text in real-time or through batch processing, supporting over 140 languages and dialects. - Text-to-Speech: Convert written text into natural-sounding speech using a variety of prebuilt neural voices, with options to create custom voices that reflect a brand's unique identity. - Speech Translation: Facilitate real-time, multi-language communication by translating spoken audio into different languages, supporting a wide range of language pairs. - Speaker Recognition: Identify and verify individual speakers based on their voice characteristics, enhancing security and personalization in applications. - Voice Live API: Enable low-latency, high-quality speech-to-speech interactions for voice agents, integrating speech recognition, generative AI, and text-to-speech functionalities into a single, unified interface. Primary Value and Solutions Provided: Azure AI Speech empowers developers to create voice-enabled applications that offer natural and engaging user experiences. By leveraging its multilingual support and customizable voice options, businesses can enhance accessibility, improve customer service through interactive voice response systems, and expand their reach to a global audience. The service's flexibility allows deployment in the cloud or at the edge, ensuring seamless integration into various platforms and devices.

Average Rating: 3.9/5.0

Total Reviews: 68

How Do G2 Users Rate Azure AI Speech?

  • Has the product been a good partner in doing business?: 8.5/10 (Category avg: 8.9/10)
  • Ease of Admin: 7.9/10 (Category avg: 8.6/10)
  • Ease of Setup: 8.1/10 (Category avg: 8.8/10)
  • Quality of Support: 8.1/10 (Category avg: 8.8/10)

Who Is the Company Behind Azure AI Speech?

  • Seller: Microsoft
  • Year Founded: 1975
  • HQ Location: Redmond, Washington
  • LinkedIn® Page: www.linkedin.com
    232,750 employees on LinkedIn®
  • Ownership: MSFT
  • Phone: +1 (877) 276-2464

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 51% Small, 25% Large

What Do G2 Reviewers Say About Azure AI Speech?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the high accuracy of Azure AI Speech, benefiting from reliable speech recognition and synthesis across languages.
  • Users highlight the seamless integration of Azure AI Speech within their tech stack, enhancing their workflows effortlessly.
  • Users value the multilingual support of Azure AI Speech, enhancing accessibility and usability across different languages.
  • Users appreciate the highly accurate speech recognition of Azure AI Speech, enhancing transcription and audio processing experiences.
  • Users enjoy the ease of use of Azure AI Speech, appreciating seamless integration and simple setup.
Cons
  • Users experience inaccuracy in Azure AI Speech, particularly with pronunciation and word conversion in various languages.
  • Users find that Azure AI Speech has issues with accent recognition, especially in noisy environments or with multiple speakers.
  • Users experience accuracy issues with Azure AI Speech when there are multiple speakers or low-quality audio.
  • Users find integration issues challenging, particularly for non-technical users and when dealing with custom models.
  • Users note that noise issues can hinder Azure AI Speech's performance, especially in loud or busy environments.

What Are Recent G2 Reviews of Azure AI Speech?

What Are G2 Users Discussing About Azure AI Speech?

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Krisp

Krisp is a voice productivity and real-time AI communication platform that helps teams, contact centers, and developers deliver clearer conversations through real-time noise suppression, accent conversion, voice translation, transcription, summarization, and other AI-driven voice features. It provides a privacy-first, scalable audio solutions for calls, meetings, customer support, and embedded voice applications. Krisp brings together three AI-powered products in one platform—AI Meeting Assistant, AI Call Center, and Real-Time AI Voice SDK. It runs on-device or in the cloud and integrates seamlessly with all major conferencing platforms and developer environments. AI Meeting Assistant - Live transcription and recording without required bots - AI-generated meeting summaries, action items, and CRM sync - Noise, echo, and background voice cancellation for crisp audio - Multilingual support and custom vocabulary for industry terms AI Call Center - Real-time accent conversion for global customer communication - Instant voice translation across 80+ languages - AI Agent Assist for live knowledge prompts, after-call summaries, and coaching - Advanced noise, echo, and voice cancellation for clear, effective calls Real-Time AI Voice SDK - Voice isolation and turn-taking for natural voice AI interactions - Outbound Background Voice Cancellation (BVC) for real-time communication - Inbound and outbound Noise Cancellation (NC) - Accent Conversion for calls - Cross-platform libraries and wrappers for web, mobile, desktop, and server deployments Krisp is SOC 2, GDPR, HIPAA, and PCI-DSS certified and does not store voice data. Deployed on more than 200 million devices and processing over 80 billion minutes of conversations each month, it gives organizations a unified way to improve meeting productivity, raise contact center performance, and build advanced voice-enabled products

Average Rating: 4.7/5.0

Total Reviews: 1,610

How Do G2 Users Rate Krisp?

  • Has the product been a good partner in doing business?: 8.8/10 (Category avg: 8.9/10)
  • Ease of Admin: 9.0/10 (Category avg: 8.6/10)
  • Ease of Setup: 9.3/10 (Category avg: 8.8/10)
  • Quality of Support: 8.9/10 (Category avg: 8.8/10)

Who Is the Company Behind Krisp?

Who Uses This Product?

  • Who Uses This: Software Engineer, CEO
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 54% Small, 20% Medium

What Do G2 Reviewers Say About Krisp?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of installation with Krisp, making it accessible for everyone without technical skills.
  • Users praise Krisp for its exceptional noise cancellation, ensuring clear communication even in noisy environments.
  • Users value the high transcription accuracy of Krisp, enhancing their ability to review meetings effectively.
  • Users praise the reliable sound isolation technology of Krisp, enhancing clarity in conversations and professionalism during calls.
  • Users highlight the easy setup of Krisp, making it accessible without any technical expertise required.
Cons
  • Users report audio issues with Krisp, including unexpected failures and difficulties with mic and speaker connections during use.
  • Users experience inaccurate transcription, especially for languages like Hindi and Polish, affecting meeting clarity.
  • Users report poor transcription accuracy in Krisp, facing issues with processing and missing AI review features.
  • Users experience AI inaccuracy in language identification and transcription, leading to confusion during meetings.
  • Users face significant noise and audio issues with Krisp, complicating communication in meetings and affecting usability.

What Are Recent G2 Reviews of Krisp?

What Are G2 Users Discussing About Krisp?

Speechmatics

Speechmatics: Best-in-Market Speech-to-Text & Voice AI for Enterprises Speechmatics delivers industry-leading Speech-to-Text and Voice AI solutions, designed for enterprises that demand best-in-class accuracy, security, and flexibility. Our enterprise-grade APIs provide real-time and batch transcription with unmatched precision—across the widest range of languages, dialects, and accents. Built on Foundational Speech Technology, Speechmatics powers mission-critical voice applications, from media & entertainment to contact centers, financial services, healthcare and beyond. With on-premises and cloud deployment options, businesses can ensure data security and compliance while unlocking the full potential of their voice data. Trusted by global leaders, Speechmatics is the go-to solution for enterprises looking to transcribe, analyze, and understand speech with unrivaled accuracy. - Unmatched Accuracy – Industry-best transcription across diverse languages & accents - Flexible Deployment – Cloud, on-prem, and hybrid solutions - Enterprise-Grade Security – Full control over your data - Real-Time & Batch Processing – Instant or large-scale transcription Power your Speech-to-Text and Voice AI applications with Speechmatics today. 🚀

Average Rating: 4.7/5.0

Total Reviews: 86

How Do G2 Users Rate Speechmatics?

  • Has the product been a good partner in doing business?: 9.2/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.8/10 (Category avg: 8.6/10)
  • Ease of Setup: 8.8/10 (Category avg: 8.8/10)
  • Quality of Support: 9.0/10 (Category avg: 8.8/10)

Who Is the Company Behind Speechmatics?

  • Seller: Speechmatics
  • Company Website:
  • Year Founded: 2006
  • HQ Location: Cambridge, England‎
  • LinkedIn® Page: www.linkedin.com
    116 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Computer Software, Broadcast Media
  • Company Size: 56% Small, 30% Medium

What Do G2 Reviewers Say About Speechmatics?

AI-generated summary from verified user reviews

Pros
  • Users praise the accuracy of Speechmatics, significantly enhancing live events and transcription tasks for various applications.
  • Users commend the superb transcription accuracy of Speechmatics, enhancing their experience in live events and content creation.
  • Users value the ease of integration of Speechmatics, making it simple to enhance their broadcast monitoring workflow.
  • Users value the high efficiency and accuracy of Speechmatics, enhancing their experience in transcription and live events.
  • Users value the accuracy and speed of Speechmatics for effective transcription across multiple languages and speakers.
Cons
  • Users find limited language support a drawback, particularly for diverse local languages that Speechmatics does not recognize.
  • Users express disappointment with limited features, desiring more functionality and faster processing options for transcription tasks.
  • Users face a limited number of language options in Speechmatics, affecting accessibility for diverse local languages.
  • Users feel that slow performance in latency issues hampers Speechmatics' competitiveness in the voice AI market.
  • Users feel the missing features of Speechmatics limit functionality, such as multi-file uploads and effective additional tools.

What Are Recent G2 Reviews of Speechmatics?

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'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

Average Rating: 4.5/5.0

Total Reviews: 540

How Do G2 Users Rate Deepgram?

  • Has the product been a good partner in doing business?: 9.1/10 (Category avg: 8.9/10)
  • Ease of Admin: 8.9/10 (Category avg: 8.6/10)
  • Ease of Setup: 9.0/10 (Category avg: 8.8/10)
  • Quality of Support: 8.8/10 (Category avg: 8.8/10)

Who Is the Company Behind Deepgram?

  • Seller: Deepgram
  • Company Website:
  • Year Founded: 2015
  • HQ Location: San Francisco, California
  • LinkedIn® Page: www.linkedin.com
    371 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, Founder
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 81% Small, 18% Medium

What Do G2 Reviewers Say About Deepgram?

AI-generated summary from verified user reviews

Pros
  • Users commend Deepgram for its outstanding accuracy, especially with complex audio and background noise, ensuring reliable transcriptions.
  • Users praise Deepgram for its exceptional speed, providing impressive real-time transcription even in challenging conditions.
  • Users appreciate the ease of use of Deepgram, enjoying a smooth implementation and quick setup with helpful support.
  • Users commend Deepgram for its exceptional quality, featuring reliable speech-to-text models and outstanding performance.
  • Users appreciate the real-time transcription capabilities of Deepgram, enhancing project efficiency and reliability in diverse applications.
Cons
  • Users express a desire for expanded language support, noting it limits Deepgram’s versatility and appeal.
  • Users find pricing issues frustrating, especially with high costs and low concurrency limits for extensive testing needs.
  • Users find the product to be expensive, especially when managing large audio files and requiring advanced features.
  • Users experience inaccuracy issues with Deepgram, particularly with background noise and unclear speech affecting transcriptions.
  • Users express concerns about the limited language support in Deepgram, wishing for more diverse language options.

What Are Recent G2 Reviews of Deepgram?

What Are G2 Users Discussing About Deepgram?

Tian Lin
TL
Researched and written by Tian Lin
Updated
Reviews & FAQs

Reviews Summary: The Best Voice Recognition Software for Enterprise Businesses

Thanks to 4944 Voice Recognition software reviews and associated data from users working for large-scale companies, at G2 we have some of the most definitive data on the best Voice Recognition software for the large space. We have identified 5 individual Voice Recognition products offering the features, pricing and support that Enterprise companies look for when comparing Voice Recognition software and solutions. These reviews are generated using the qualitative and quantitative feedback from G2 members working in large-scale companies and who have used these Voice Recognition software products.

When G2 reviewers submit their Voice Recognition software reviews, they often provide information on the type of company they work for and what market segment they belong to. We break these different market segments into three distinct groups:

  • Small Business Voice Recognition Software Reviews (< 50 employees)
  • large Voice Recognition Software Reviews (51-1,000 employees)
  • Enterprise Voice Recognition Software Reviews (1,001+ employees)

large businesses have their own unique requirements when it comes to Voice Recognition software compared to small or enterprise companies. That is why these individual large-scale company Voice Recognition software reviews are especially helpful when comparing product set up, ease of use and overall cost.

Below you will find FAQs and review snippets for Voice Recognition software products that work well in large environments. These reviews are written by real G2 users working for these Enterprise companies who have real-world experience with these Voice Recognition software products.

FAQs About Voice Recognition Software for Enterprise Businesses

Q. What are the best Voice Recognition software products for large-scale businesses, according to G2 reviewers?
  • Google Cloud Speech-to-Text - 4.6-stars, 59 reviews (21% from large reviewers)
  • Azure AI Speech - 4.1-stars, 17 reviews (25% from large reviewers)
  • Krisp - 4.6-stars, 30 reviews (7% from large reviewers)
  • Speechmatics - 4.8-stars, 11 reviews (20% from large reviewers)
  • Deepgram - 4.6-stars, 10 reviews (2% from large reviewers)
Q. What are the least-liked Voice Recognition software products for professionals at large-scale companies, based on the overall G2 rating?
  • Not enough data to answer this question.
Q. What are the highest-rated Voice Recognition software tool features according to employees at Enterprise companies?
  • Accuracy in Noisy Settings - 4.8-stars
  • Environmental Noise Adaptation - 4.8-stars
  • Developer API & SDK - 4.8-stars
Q. What are the features that are rated lowest by employees at Enterprise companies?
  • Speaker Differentiation - 4.3-stars
  • Sentiment & Tone Analysis - 4.4-stars
  • Voice-Based Authentication - 4.4-stars
Q. How many Voice Recognition software reviews are from users working in large companies?

140 out of all Voice Recognition software reviews on G2 are from users working in Enterprise companies (3%).

Here's What Reviewers Working at large Businesses Have to Say About Voice Recognition Software

What Enterprise Professionals Liked What Enterprise Professionals Disliked

Krisp: “Before I used Krisp, I had received a few complaints while doing my work, over the phone. Using Krisp has 100% improved my work day, and saved my bacon!”

Read Review

Azure AI Speech: “Translation is bad. Google is way too accurate.”

Read Review

Krisp: “Nothing I've ever used has come close to reducing the amount of unwanted noise coming off my microphone. It's good enough that I've allowed myself to get lazy with muting my mic when eating food or belching because there's a near 0% chance of anyone hearing me. I have regular voice calls involving 5-12 people, and everyone using Krisp makes the difference between a constant cacophony of noise and dreading the experience to something much closer to the pleasant connectedness of an in-person conversation. I seriously can't recommend it enough.”

Read Review

Google Cloud Speech-to-Text: “faces with sector phrases, stressed dialects tend not to understand the command for the rest I consider it an excellent solution”

Read Review

Krisp: “The product USP is Noise reduction. The AI based product does wonder, be it noise from a crying baby, mobile ringer or whatever could be termed as Noise, nothing goes over to the other participants in the meeting. It's just your voice that is audible. That's Krisp microphone. With Krisp speaker, you hear noise free too. Infact with Krisp, I stop being on Mute. A no worry noise free solution that I was always looking for.”

Read Review

Azure AI Speech: “Sometimes it is a little difficult to make changes.”

Read Review
Recommendations To Others Problems Solved & Benefits

Deepgram: “Just use it, I bet you'll love it and not regret it!”

Read Review

Willow Voice: “The problem: Standard dictation is exhausting. You end up speaking like an over-enunciating robot, manually calling out punctuation, and then fixing endless formatting errors just to get a usable sentence. It constantly breaks your train of thought. The benefit: Willow lets me draft at the actual speed of my brain. When I’m untangling a dense cybercrime argument or abstracting a lengthy contract, I can simply talk naturally. It strips out my stutters, adds the right punctuation, and drops a clean draft straight into my document in milliseconds. It eliminates the physical fatigue of high-volume typing while keeping my focus intact.”

Read Review

Kaldi ASR: “Before installing, first, read the Kaldi group discussion related to installation steps.”

Read Review

OpenAI Whisper: “In my work with Alignerr, Whisper helps with the time-consuming task of manually transcribing audio. I use it to convert speech into text quickly, which makes it easier to review and work with audio content. It reduces repetitive manual work and speeds up the overall process, especially when dealing with longer recordings.”

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Krisp: “A must-have productivity tool you did not even think might be so helpful”

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GlobalLink: “It translates documents to the required standard.”

Read Review