Turn audio into your
most valuable dataset

Gladia was built for 100+ languages from the start, including seamless switching when speakers change languages mid-sentence. The same endpoint handles global support conversations, multilingual voice agents, and media workflows with consistent behavior across locales.

Designed for real-world noisy audio, Gladia combines high-performance ASR with enterprise-grade post-processing - including advanced hallucination filters - to capture names, numbers, emails, and domain-specific jargon accurately at the source. The output is reliable enough to feed directly into automation, RAG pipelines, and models.

At Gladia, diarization, sentiment, and structured outputs live alongside the core STT layer. Our Audio-to-LLM pipeline turns conversations into structured data your models can act on directly. Choose from integrated LLM options or bring your own model.

Headquartered in the EU, we architect sovereignty and regulatory expectations from the product level. Our API processes billions of minutes of audio every year, with the operational discipline teams expect from a foundational AI infrastructure.

Whether you build on Pipecat, LiveKit, Twilio, or orchestrate workflows through Zapier and Make, Gladia connects natively. Teams that would have spent weeks integrating or maintaining self-hosted solutions are in production the same day, with direct Slack support to help along the way.