As of November 2026, Latka tracks 294 voice recognition software companies. They have combined revenues of $3B and employ 12.7K people. They have raised $3.6B and serve 1.1M 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 10 of 294 companies ranked by annual revenue.
New York, New York, United States
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!
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.
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.
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.
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].
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.
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.
Latka tracks 294 voice recognition software companies with reported revenue. Together they generate $3B in annual revenue and employ 12.7K people.
Eleven Labs is the largest, with $600M in annual revenue, founded in 2022.
The average voice recognition software company in this list makes $10.1M a year, across 294 companies with reported revenue. They serve 1.1M customers combined.
Ranked by annual revenue, the leaders are Eleven Labs, edream,Inc, Rapha, TranscribeMe and Deepgram.
The 294 voice recognition software companies tracked here have raised $3.6B 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