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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Most AI video tools hand you a black box: closed weights, a subscription, and no way to see what is happening under the hood. LTX takes the opposite approach. Built by Lightricks, LTX is an open foundation model that generates and simulates across video, audio, and the physical world, and it puts the weights, the code, and the control in your hands.
At the center of the model is LTX-2.5, a 22B-parameter dual-stream diffusion transformer that produces native 4K video at up to 50 frames per second, with audio and video generated together in a single pass rather than stitched together afterward. Artificial Analysis, an independent benchmarking group, currently ranks LTX among the top three AI video models in the world.
You choose how you want to use it. Download the open weights and run LTX-2.5 on your own hardware. License the model for on-premise deployment backed by enterprise support. Or build directly on LTX Studio, the production suite that turns the model into a full creative workflow. Companies like ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already rely on LTX for their own work.
LTX is not built for one-off social clips. It is infrastructure for teams that generate motion, audio, and physical environments as part of their own products and pipelines.
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Grok 4.6
Grok 4.6 is an advanced xAI model built for long-running agents, coding, knowledge work, interactive applications, and visual project creation. It improves on Grok 4.5 with a focus on staying with complex tasks across many steps, whether the user is researching a topic, analyzing information, working across a codebase, or building a polished application. The model was trained through a longer supplemental run that used curated model-generated reasoning data, advanced technical concepts, engineering data, and an improved training recipe. Grok 4.6 was also trained with SFT and RL across domains such as STEM, software engineering, knowledge work, kernel optimization, web development, computer-aided design, and agentic coding. It is designed to turn ambitious ideas into working projects by researching unfamiliar domains, defining application structure, building core interactions, and iterating through feedback. The model shows stronger first passes on visual and interactive projects, helping users establish structure and visual language more quickly. Grok 4.6 also demonstrates more self-testing and verification during longer trajectories. It is available through Cursor, Grok Build, the xAI API, OpenRouter, Vercel, Cloudflare, and other partners, with pricing starting at $2 per million input tokens and $6 per million output tokens. By combining frontier reasoning, agentic coding, long-running task execution, visual project generation, API access, and broad developer availability, Grok 4.6 helps builders move from idea to working software faster.
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Claude Sonnet 5
Claude Sonnet 5 is Anthropic's newest Sonnet-class language model, built to provide advanced reasoning, coding, autonomous tool use, and agentic workflow capabilities at a lower cost than larger foundation models. The model is capable of planning multi-step tasks, interacting with browsers and terminals, using external tools, and completing sophisticated work with minimal human intervention. Compared to Claude Sonnet 4.6, Sonnet 5 delivers substantial improvements across coding, reasoning, knowledge work, and AI agent performance while narrowing the capability gap with Anthropic's Opus family of models. Anthropic also reports improvements in safety, including lower rates of hallucinations, reduced undesirable behaviors, stronger resistance to prompt injection attacks, and better handling of malicious requests. Developers can access Sonnet 5 through the Claude platform and API using competitive introductory pricing, making it easier to deploy production AI applications without significantly increasing costs. The model supports a wide range of agentic workflows by allowing users to adjust effort levels to balance performance, speed, and token usage for different tasks. Anthropic also expanded usage limits across its services to support more demanding workloads generated by increasingly capable AI agents. Claude Sonnet 5 is positioned as a practical model for organizations that need powerful AI automation without the higher operating costs associated with frontier-scale models. By combining improved intelligence, stronger safety, flexible pricing, and enhanced agentic behavior, Claude Sonnet 5 enables developers to build more autonomous and reliable AI systems.
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