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Top 328 Voice Recognition Software SaaS Companies in May 2026

As of May 2026, there are 328 SaaS companies in Voice Recognition Software. They have combined revenues of $3.6B and employ 16.5K people. They have raised $2.9B and serve 1.2M customers combined.

Voice recognition software is a technology that enables machines and programs to understand and process human speech. This software translates spoken language into text or interprets voice commands, making it an essential component in various applications, including virtual assistants, transcription services, and voice-controlled devices. By leveraging natural language processing, voice recognition software streamlines communication and improves accessibility across multiple industries. The primary use cases for voice recognition software include enhancing customer service through automated systems, facilitating hands-free operation in environments where manual input is impractical, and improving efficiency in documentation through dictation. Common workflows involve capturing spoken inputs, processing them for commands or transcription, and delivering results back to the user. Typical buyers include businesses in customer support, healthcare, legal, and transportation sectors, as well as technology developers looking to incorporate voice functionalities into their offerings.

Companies
328
Revenue
$3.6B
Funding
$2.9B
Employees
16.5K

Filters

Sorting: Highest -> Lowest

Filters

Top Voice Recognition Software Companies

Showing 10 of 40 companies ranked by annual revenue.

1
AISpeech

Jiangshan, Zhejiang, China

Developer of an end-to-end spoken dialogue system technology designed to improve human-machine interaction. The company's spoken dialogue system technology helps in speech recognition, speech synthesis, natural language understanding and voice-print recognition, enabling clients to access natural language interactive services.

Revenue
$78M
Customers
-
Year founded
2008
Funding
$186.5M
Team size
119
Growth
-
2
ASAPP

New York, NY, United States

Our artificial intelligence and machine learning products deliver automation and human augmentation, allowing individuals and organizations to realize their full potential. Today, the world's largest organizations rely on ASAPP to provide amazingly efficient and effective customer experiences through their Contact Centers. Our Research & Development team is unparalleled, driving the advancement of AI, machine learning, speech recognition, robotic process automation, natural language processing and more. If you are interested in working with us, please send an email to [email protected]. If you're interested in learning about our job opportunities, please reach out at [email protected].

Revenue
$73.5M
Customers
-
Year founded
2014
Funding
$312.6M
Team size
402
Growth
15.84%
3
Odigo

Boulogne-Billancourt, Île-de-France, France

Odigo is global provider of Contact Centre as a Service (CCaaS) solutions that enhance interactions between a brand and its customers. A pioneer in the customer experience (CX) market in France and now a European leader, for almost 40 years Odigo has supported more than 250 major companies in over 100 countries. Driven by a deep sense of professionalism, pragmatism and imagination, Odigo stands out for the unrivalled reliability and robustness of its solution, offering the best voice quality MOS (Mean Opinion Score) on the market. Our experts help private and public organisations choose and deploy the CX solutions and AI to ensure maximum performance and customer satisfaction.

Revenue
$73M
Customers
-
Year founded
1986
Funding
-
Team size
664
Growth
-
4
Be My Eyes

Palo Alto, California, United States

Be My Eyes connects blind or low vision users who want assistance, with volunteers and companies across the world, through live video and AI.

Revenue
$55.8M
Customers
-
Year founded
2012
Funding
-
Team size
300
Growth
-
5
Sanas

Palo Alto, California, United States

We're the world's first real-time speech understanding platform. Our AI-powered technology is designed to revolutionize communication by giving multilingual speakers a choice when it comes to how they communicate. It's a step towards empowering individuals, advancing equality, and deepening empathy. Our mission is to build a more understanding world.

Revenue
$50M
Customers
45
Year founded
2019
Funding
$102.5M
Team size
295
Growth
50.51%
6
Cogito

Boston, Massachusetts, United States

AI-powered call center software

Revenue
$44.7M
Customers
1M
Year founded
2007
Funding
$87.5M
Team size
90
Growth
-
7
Observe.AI

Redwood City, California, United States

AI-powered voice analytics for call centers

Revenue
$44.2M
Customers
150
Year founded
2017
Funding
$214M
Team size
362
Growth
46.54%
8
Krisp

Berkeley, California, United States

Krisp’s Voice AI technology enhances voice communication through audio cleansing, bi-directional noise cancellation, accent localization, speech-to-speech translation, and call transcription to elevate the customer and agent experience and increase the productivity of every conversation. Krisp technology processes over 75 billion minutes of conversations per month, improving the productivity and efficiency of hundreds of thousands of agents and CX professionals everywhere. Krisp is trusted by the world’s largest global call centers and service providers, who report that Krisp has helped them achieve up to a 78% drop in noise complaints, an 8% increase in CSAT, and as much as a 10% decrease in AHT.

Revenue
$37.7M
Customers
-
Year founded
2017
Funding
-
Team size
343
Growth
-
9
RevComm

Shibuya-ku, Tokyo, Japan

RevComm is the startup company developing Voice x AI-enabled cloud services based out of Tokyo, Japan. Our mission is "To create a new way to communicate and spark innovation throughout the world"​. As a 1st product, we are providing AI-enabled cloud IP phone "MiiTel"​.

Revenue
$35M
Customers
-
Year founded
2017
Funding
-
Team size
129
Growth
-
10
Sensi.ai

Austin, Texas, United States

Sensi is the world's first in-home 24/7 virtual care agent using audio AI technology designed to empower long-term care providers by offering insights and support for senior care.

Revenue
$29.3M
Customers
-
Year founded
2019
Funding
-
Team size
101
Growth
-

Inclusion Criteria

- Must convert spoken language into written text or actionable commands - Should support multiple languages and dialects to cater to diverse user bases - Must provide real-time processing capabilities for immediate feedback - Should integrate with existing applications or platforms for seamless user experience - Not just limited to basic voice capture; must also include advanced features like voice authentication or context understanding