Google Cloud Speech-to-Text
An API powered by Google's AI technology allows you to accurately convert speech into text. You can accurately caption your content, provide a better user experience with products using voice commands, and gain insight from customer interactions to improve your service. Google's deep learning neural network algorithms are the most advanced in automatic speech recognition (ASR). Speech-to-Text allows for experimentation, creation, management, and customization of custom resources. You can deploy speech recognition wherever you need it, whether it's in the cloud using the API or on-premises using Speech-to-Text O-Prem. You can customize speech recognition to translate domain-specific terms or rare words. Automated conversion of spoken numbers into addresses, years and currencies. Our user interface makes it easy to experiment with your speech audio.
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Fathom
Fathom is the free AI meeting assistant that instantly records, transcribes, and summarizes your Zoom, Meet, or Microsoft Teams meetings so you can focus on the conversations instead of taking notes.
Fathom is an AI-driven meeting assistant that automatically records, transcribes, and summarizes your virtual meetings across platforms like Zoom, Google Meet, and Microsoft Teams. Designed to save time and increase productivity, Fathom generates actionable summaries in under 30 seconds and syncs with your CRM for streamlined follow-ups. The platform's unique features include real-time transcription, meeting highlights, and the ability to share clips, making it ideal for teams looking to improve meeting efficiency and reduce administrative work.
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Amazon Transcribe
Amazon Transcribe simplifies the integration of speech-to-text features for developers looking to enhance their applications. Analyzing and searching audio data presents significant challenges for computers, making it essential to convert spoken words into written format for effective usage in various applications. Traditionally, businesses had to collaborate with transcription services that imposed costly contracts and were complicated to integrate with existing technology, making the transcription process cumbersome. Moreover, many of these services relied on outdated technologies that struggled to handle specific situations, such as the low-quality audio typical in contact center environments, leading to decreased accuracy. In contrast, Amazon Transcribe utilizes an advanced deep learning technique known as automatic speech recognition (ASR) to convert speech into text efficiently and with high precision. This service is versatile, allowing for the transcription of customer service interactions, the automation of subtitling, and the creation of metadata for media files, ultimately resulting in a comprehensive and searchable archive of content. With its user-friendly design and robust capabilities, Amazon Transcribe stands out as an essential tool for developers aiming to enhance the functionality of their applications.
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Rev
Rev offers premium on-demand, manual, and automated transcription, closed captioning, and foreign subtitling services. Rev has 170,000+ clients, ranging from freelance journalists to global corporations. Rev processes more audio/video than any other provider, and can scale to meet any customer's requirements. Pricing is straightforward, starting at $0.25 per audio/video min for automated speech-to text services and $1.25/min manual with 99% accuracy. Rev.ai is a speech recognition engine available to companies who request it.
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