Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
A communication platform provider supports developers in building real-time video and audio applications across a global edge network.
Creating multimodal AI agents required extensive manual configuration, with voice integration alone demanding 400 lines of code. This complexity...
“ElevenLabs made it easy for us to quickly bring powerful text-to-speech capabilities to our SDK, allowing Agents to respond in real time with expressive voices to user questions or as feedback to what it’s seeing.”
API platform for building real-time chat, video, and activity feeds.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Related implementations across industries and use cases
Stitching audio models disrupted conversation flow. A unified platform now handles the pipeline, freeing engineers to build the agent.
Building custom speech infrastructure risked draining engineering. An API-first voice layer refocused developers on core orchestration.
Building agents required weeks of manual logic and 3,000-token prompts. Now, GPT-4o manages the flow, letting teams go live in days.
Robotic audio undermined lifelike avatars. Users now generate studio-grade speech instantly, eliminating recording sessions.
Creators needed emotion-rich voices for global reach. Integrated TTS now powers avatars that speak naturally in multiple languages.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Voice integration demanded 400 lines of code. A pre-built framework cuts that to 40, enabling rapid agent deployment.
A communication platform provider supports developers in building real-time video and audio applications across a global edge network.
Creating multimodal AI agents required extensive manual configuration, with voice integration alone demanding 400 lines of code. This complexity...
“ElevenLabs made it easy for us to quickly bring powerful text-to-speech capabilities to our SDK, allowing Agents to respond in real time with expressive voices to user questions or as feedback to what it’s seeing.”
API platform for building real-time chat, video, and activity feeds.
AI voice synthesis platform for text-to-speech, dubbing, and voice cloning.
Related implementations across industries and use cases
Stitching audio models disrupted conversation flow. A unified platform now handles the pipeline, freeing engineers to build the agent.
Building custom speech infrastructure risked draining engineering. An API-first voice layer refocused developers on core orchestration.
Building agents required weeks of manual logic and 3,000-token prompts. Now, GPT-4o manages the flow, letting teams go live in days.
Robotic audio undermined lifelike avatars. Users now generate studio-grade speech instantly, eliminating recording sessions.
Creators needed emotion-rich voices for global reach. Integrated TTS now powers avatars that speak naturally in multiple languages.
Scattered spreadsheets couldn't catch AI hallucinations. Now, automated LLM judges evaluate every prompt change to block regressions.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.