Best Speech Analytics Software for Google Drive
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Compare the Top Speech Analytics Software that integrates with Google Drive as of October 2025
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This a list of Speech Analytics software that integrates with Google Drive. Use the filters on the left to add additional filters for products that have integrations with Google Drive. View the products that work with Google Drive in the table below.
What is Speech Analytics Software for Google Drive?
Speech analytics software analyzes audio recordings, typically from customer service calls, to extract valuable insights and improve business operations. By using speech recognition, natural language processing (NLP), and machine learning algorithms, these tools can transcribe spoken words, assess sentiment, identify keywords, and detect patterns in conversations. Speech analytics software is often used to evaluate customer interactions, monitor agent performance, identify customer pain points, and ensure compliance with industry standards. It is widely used in call centers, sales, and customer support departments to improve service quality, enhance customer satisfaction, and optimize training programs. Compare and read user reviews of the best Speech Analytics software for Google Drive currently available using the table below. This list is updated regularly.
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Level AI
Level AI
Augment your agent and QA team performance with an intelligence system for the modern contact center. Trusted by customer service leaders across the world. Coverage and quality of feedback your agents deserve. Provide the right amount of coverage for your agents, from 1% to 100%. Real-time conversation monitoring and assistance. Access deep conversation understanding and rich enterprise integrations. Real-time knowledge support. Support your agents with the right answers from across your enterprise. Customizable scorecards integrated with AI analytics. Review, score and analyze agent performance with an integrated AI-driven QA flow. We answer your greatest challenges in a remote world when your heroes are spread across the globe. When monitoring conversations at scale is hard. AI reviews interaction performance for key business scenarios. When agents have to answer questions in seconds. Real-time answers to customer questions from across the enterprise stack.
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