What is Gladia?

Gladia is an AI audio infrastructure that provides both asynchronous and real‑time speech‑to‑text (STT) services. The platform supports over 100 languages and dialects, delivering high‑accuracy transcription with sub‑300 ms latency for live voice applications.

It offers speaker diarization, word‑level timestamps, named entity recognition, sentiment analysis, and summarization as optional add‑ons, as well as automatic PII redaction for privacy‑sensitive workflows. The API is language‑agnostic and can be integrated via REST or WebSocket, with SDKs available for common development stacks and built‑in support for telephony protocols such as SIP and VoIP.

Developers can use Gladia to power meeting assistants, contact‑center transcription, media editing and subtitle generation, voice‑agent interactions, and sales‑enablement tools that require real‑time insight extraction. The service includes real‑time status monitoring, scalability to unlimited parallel streams, and compliance features that support GDPR, HIPAA, and SOC 2.

Gladia pricing Freemium

Enterprise-grade 0 $/mo (10h/mo included)

Pro 0.612 $/hour + $0.144/hour for live transcription

Verify on the official pricing page.

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Gladia's key features

Real-time multilingual transcription (<300 ms latency)
Asynchronous speech-to-text API
Speaker diarization for multiple speakers
Code-switching support across languages
Word-level timestamps for subtitles
Custom vocabulary and NER integration
GDPR and SOC 2 compliance

Gladia use cases

Real‑time closed captioning for live webinars and virtual events, leveraging Gladia’s low‑latency STT, speaker diarization and multilingual support to deliver accurate subtitles on the fly
Automated transcription of multilingual customer support calls with speaker identification, sentiment analysis and PII redaction, enabling compliance‑ready records and actionable insights
Generating searchable, timestamped subtitles and concise summaries for recorded podcasts or meetings in multiple languages, improving accessibility and content discoverability