
An API driven by Google's AI capabilities enables precise transformation of spoken language into written text. This technology enhances your content with accurate captions, improves the user experience through voice-activated features, and provides valuable analysis of customer interactions that can lead to better service. Utilizing cutting-edge algorithms from Google's deep learning neural networks, this automatic speech recognition (ASR) system stands out as one of the most sophisticated available. The Speech-to-Text service supports a variety of applications, allowing for the creation, management, and customization of tailored resources. You have the flexibility to implement speech recognition solutions wherever needed, whether in the cloud via the API or on-premises with Speech-to-Text O-Prem. Additionally, it offers the ability to customize the recognition process to accommodate industry-specific jargon or uncommon vocabulary. The system also automates the conversion of spoken figures into addresses, years, and currencies. With an intuitive user interface, experimenting with your speech audio becomes a seamless process, opening up new possibilities for innovation and efficiency. This robust tool invites users to explore its capabilities and integrate them into their projects with ease.
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Most contact centers are stitched together from tools that don't talk to each other — a phone system here, a chatbot there, a support queue that loses context the moment it changes hands. Dialpad Contact Center replaces that patchwork with one AI-native platform where voice, digital, and human agents work from the same intelligence.
The difference is agentic action. Rather than summarizing a call after the fact, Dialpad's AI agents reason through the issue in real time and carry it to resolution on their own — no handoff required unless one actually adds value. Voice and data stop living in separate silos, so every channel feeds the same connected picture of the customer.
That connected picture gets smarter with use. Dialpad is already past 775 million AI recaps, and every conversation adds to a base of intelligence that keeps improving resolution speed, agent output, and customer satisfaction over time. It's all run through Dialpad's Guardian layer, which keeps AI behavior secure, auditable, and within the boundaries enterprises expect.
The result: up to 80% of tickets resolved without a person touching them, and a support team that spends its time on the cases that actually need human judgment — intelligence doing the routine work, people handling what matters.
Skeptical an AI contact center can deliver on that? Dialpad's Proving Ground lets you pilot and measure real ROI before you commit, rather than adopting on promises alone.
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ElevenAgents
ElevenLabs Agents is a cutting-edge platform that facilitates the creation, deployment, and scaling of intelligent conversational AI agents capable of communicating via speech, text, and actions across a multitude of channels such as phone, web, and applications. It empowers developers and teams to build real-time agents that engage users in a fluid way, utilizing a blend of speech recognition, sophisticated language models, and voice synthesis to replicate human-like dialogue. The platform enables agents to handle customer inquiries, optimize workflows, provide information, and execute tasks by harnessing interconnected data sources and pre-established logic, ensuring that every interaction is both accurate and contextually appropriate. Furthermore, these agents can be customized with knowledge bases, system prompts, and tools that enable them to connect with external systems, perform complex logic, and achieve tasks that go beyond simple responses. They are equipped with multimodal capabilities, allowing them to read, speak, and understand inputs while effectively navigating the nuances of conversation. This adaptability not only boosts user engagement and satisfaction but also positions the agents as essential tools in contemporary digital exchanges. Ultimately, their ability to learn and evolve over time ensures they remain relevant and useful in an ever-changing technological landscape.
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mrmr
mrmr is an AI assistant focused on voice interaction, specifically tailored for Mac users. By simply pressing a key, you can start speaking, and it will carry out tasks across the applications you use most often. This cutting-edge tool prioritizes executing commands based on voice input rather than just transcribing spoken words.
You can ask it to create a ticket in Linear, share that link in a Slack channel, and schedule a follow-up on your calendar, all in one fluid conversation. mrmr effectively manages intricate workflows, automatically detecting your channels, team members, and projects, while ensuring that all actions are confirmed before they are implemented.
It works seamlessly with numerous applications, such as Slack, Linear, Google Calendar, Google Tasks, Google Meet, Zoom, Notion, Gmail, Cal.com, Calendly, Attio, and GitHub through official app APIs, in addition to integrating with Apple Reminders. Moreover, it has the capability to search your Mac files and browser history, conduct web searches with cited sources, run your custom scripts via voice commands, and assign tasks to background sub-agents.
In addition, mrmr enables fast dictation in around 60 languages, emphasizing actionable outcomes rather than typing. This voice-first solution serves as an alternative to other assistants like Siri, Wispr Flow, and Superwhisper, and is currently in private beta, encouraging users to test its features and share their insights for enhancements. As voice technology continues to evolve, mrmr positions itself as a leader in enhancing productivity through effective communication.
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