LipSurf Reviews & Product Details

Deepgram builds artificial intelligence to recognize speech, search for moments, and categorize audio and video.

Krisp delivers real-time Voice AI technology that improves digital conversations across meetings, contact centers, and embedded applications. The platform combines noise and echo removal, background voice cancellation, accent conversion, live voice translation, transcription, meeting summarization, and agent assistance in one solution. Krisp technology is deployed on more than 200 million devices and processes over 75 billion minutes of voice conversations each month. Organizations use it to capture accurate meeting records, enhance customer interactions, and build new voice-enabled products. Contact centers and service providers report measurable impact, including reductions in noise-related complaints, faster call handling, and higher customer satisfaction. By operating on-device and in the cloud, and by supporting any microphone, headset, or communication app, Krisp provides a scalable, privacy-focused layer of real-time voice AI for businesses of every size.

Digital evidence has surged — body cams, dash cams, smartphones, 911 calls, and interviews in every case — but legal and law enforcement teams haven’t grown with it, making thorough review nearly impossible. Rev helps teams keep pace. Our platform pairs industry-leading speech recognition with AI that cites its sources, delivering accurate, verifiable results tied to the original file. AI supports — never replaces — human judgment, with optional human review when precision matters most. Built with CJIS-, HIPAA-, and SOC 2-compliant security and zero data sharing with third-party LLMs, Rev reduces overtime, prevents missed details, and helps move cases forward with confidence.

Otter.ai creates technologies and products that make information from important voice conversations instantly accessible and actionable.

Google Cloud Speech-to-Text is a service that enables developers to quickly and accurately convert audio to text by applying neural network models in an easy to use API. The API covers 73 languages and 137 different local variants to support a global user base and can be used to power media voice control systems, content captioning and analysis, conversational platforms and more.