As of October 2026, Latka tracks 7 voice recognition software companies with $100M+ in annual revenue. They have combined revenues of $2B and employ 4.7K people. They have raised $1.8B and serve 70K customers combined.
Every company below sells voice recognition software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
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.
Sorting: Highest -> Lowest
Showing 7 of 7 companies ranked by annual revenue.
New York City, New York, United Kingdom
Research Lab: Exploring new frontiers of voice generation. We are dedicated to researching and implementing innovative techniques in voice artificial intelligence (AI) to enhance the appeal of content across different languages and voices. Our goal is to reach new audiences and viewers by ensuring a more immersive and engaging experience.
China
Immerse yourself in the world of spoken languages with our AI-powered language app. Learn multiple languages, practice real-life scenarios, receive grammar corrections, and choose from a variety of voices. Start your language learning journey today!
New York, New York, United States
Verbit is an AI company that specializes in combining capturing the spoken word using artificial intelligence and supported by humans. It provides professional AI transcription and captioning solutions, delivering high accuracy and fast turnaround times.
San Ramon, California, United States
a cloud-based communication platform that includes voice, video and contact center solutions
Oakland, California, United States
We are a unique ATS that combines ✨ AI + 🎙️ audio responses from applicants to help companies, big or small, get signal early in the recruiting process without the need to jump on a call to qualify the candidate. Resulting in redefining the "first-call" or consolidating steps without compromising your workflow. Netting companies days and weeks back from the recruiting process. All while, creating opportunities for applicants to sell themselves directly to the hiring team.
San Francisco, California, United States
TranscribeMe is the global leader in speech to text transcription services, providing accurate and reliable transcription solutions to thousands of clients in a wide range of industries. With a worldwide network of highly trained transcriptionists, TranscribeMe is able to provide high-quality transcriptions at scale, fast turnaround times, affordable pricing, and the highest level of security. Our technology enables us to deliver solutions to industries that require the highest levels of consistent accuracy and high security, including the medical, legal, and AI training spaces. At the core of our offering is a proprietary workforce management & task distribution platform that utilizes the very latest in AI to ensure all kinds of tasks are done efficiently and at scale. This is paired with a network of highly trained & skilled global pool of freelancers to enable unstructured audio/video data to be accurately transcribed and annotated in a variety of languages and at any volume. Unique to TranscribeMe is the flexibility our platform and workflows allow. Our capabilities enable us to manage all types of content, and have processes that are compliant with HIPAA, GDPR, and CCPA, as well as content containing PCI & PII. We understand the security of your data is a top priority and have built our platform around ensuring data is stored, accessed, and managed with the highest information security protocols in place. With a global team and headquartered in the Bay Area, California, we work with companies all over the world and provide 24/7 support. We would be delighted to work with you on your transcription needs.
San Francisco, California, United States
Provider of an AI-based speech-to-text search platform created to understand human speech. The company's end-to-end deep learning speech recognition system searches for keywords in transcripts by both sound and text within audio and video files, used for transcribing calls, meetings and voicemails for searchable notes, providing businesses with a fast, high accuracy speech-to-text on an easy-to-use API at affordable prices.
Latka tracks 7 voice recognition software companies with $100M+ in annual revenue. Together they generate $2B in annual revenue and employ 4.7K people.
Eleven Labs is the largest, with $500M in annual revenue, founded in 2022.
The average voice recognition software company in this list makes $287.7M a year, across 7 companies with reported revenue. They serve 70K customers combined.
Ranked by annual revenue, the leaders are Eleven Labs, edream,Inc, Verbit, Dialpad and Rapha.
The 7 voice recognition software companies with $100M+ in annual revenue tracked here have raised $1.8B in disclosed funding between them.
- 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
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