AI agents & IVR

Speech-to-text that keeps AI agents sounding human

Sub-103ms streaming, accurate from the first word — so your agent responds in the moment, your IVR routes correctly, and neither pauses long enough for callers to notice.

Used by

  • Aircall
  • Selectra
  • Adversus
Voice AI agent and IVR conversation illustration
<103ms
Partial transcripts
Delivered before a caller finishes their sentence with the latency floor your LLM needs to respond in real time, not after the moment's gone.
#1
On conversational call center speech
Accurate on telephony's compressed, noisy 8kHz audio, not just studio benchmarks.
100+
Languages with code-switching
So your agent handles multilingual callers without a separate model, a separate integration, or a missed handoff.
Why teams switch to Gladia

For voice AI, the STT layer isn't infrastructure. It's the product.

Callers notice a long pause, a misheard first word, or a session degrading under load before they notice anything else. Gladia is built for the real-time performance voice AI demands.

Latency

Sub-103ms partials for real conversation

A 300ms pause feels like lag; a full second sounds broken. Voice AI runs at conversational speed, so your STT layer has to deliver partials fast enough for your LLM to respond before the caller notices a gap.

  • WebSocket streaming
  • Built for LLM chaining
  • Barge-in support
  • Real-time response without buffering
Cold-start accuracy

Accurate from the first word, with no context

Post-call transcription has a full conversation to lean on; voice agents and IVR don't — every call starts cold, with no prior turns or acoustic context. The first word is also often the most important: intent, an account number, a routing keyword.

  • Cold-start accuracy on first utterance
  • Accurate on 8kHz compressed telephony audio
  • No warm-up period
  • Routing-critical word accuracy
  • Intent captured from word one
Concurrency

Stable throughput at thousands of concurrent sessions

A latency issue at 10 concurrent sessions is a dev problem; at 1,000, it's a client escalation. Call volume spikes and peak hours mean your STT layer must hold its latency and accuracy when load multiplies.

  • Tested at thousands of simultaneous live sessions
  • No latency degradation under load
  • Burst concurrency by design
  • Same accuracy at session one and session ten thousand
  • No session-drop under peak traffic
Telephony audio

Telephony-grade accuracy, not studio-grade benchmarks

Most STT benchmarks run on clean, studio audio — your callers are on mobile phones in traffic, on noisy landlines, switching languages mid-sentence. That gap between benchmark and production accuracy on real telephony audio is where most STT providers lose voice AI builders.

  • Benchmarked on business audio and call center speech
  • Accurate on 8kHz noisy telephony audio
  • Low hallucination rate on compressed audio
  • No accuracy cliff between benchmark and production
Multilingual

Multilingual callers, one integration

A caller switching languages mid-sentence doesn't wait for a handoff, and a multi-market contact center shouldn't need a separate model, pipeline, or integration per language.

  • 100+ languages
  • 42 languages no other API-level provider covers
  • Native mid-sentence code-switching
  • No per-language STT configuration
  • Single integration for global deployments
Getting started

From API key to a live voice agent in minutes

No sales call. No STT infrastructure to build. Stream your call audio, get real-time transcription immediately.

Sign up and get your API key

Create an account to access your API key. Every account includes 10 free hours with the full feature set — sub-103ms streaming, WebSocket support, 100+ languages, and barge-in handling.

Selectra

AI agents & IVR case study

Challenge

Thousands of inbound calls daily, with callers expecting an AI that actually listens

Selectra handles thousands of inbound calls daily across 200+ sales agents. As they move toward AI-assisted handling — routing, real-time support, and interaction analysis — the latency and accuracy of their STT layer became the constraint. An agent that pauses, mishears a caller's intent, or drops a session under peak volume isn't a better experience than a human one.

Real-time
Transcription in production
Sub-103ms latency enabling live AI agent responses across thousands of daily inbound calls.
100%
Of calls processed
Every inbound interaction transcribed and available for downstream routing and analytics, with no session drops under peak load.
Multilingual
Coverage across markets
Callers handled in their language without separate integrations or per-region configuration changes.
What builders say

Trusted in production by teams building voice AI and CCaaS

Attention
G2

Gladia's API performs very well with noisy telephony audio and stereo files.

An
Anis B. CEO at Attention
Aircall

The speed and accuracy improvements were game-changers. We cut transcription time by 95% and the multilingual support is unmatched.

Farid Issabhaï
Farid Issabhaï Staff Engineer at Aircall
Amanda Zhu
Amanda Zhu Co-Founder at Recall

Gladia's real-time code-switching has been a real 'wow' factor! Plus, the accuracy of transcription has been excellent.

Recall

Gladia's real-time code-switching has been a real 'wow' factor! Plus, the accuracy of transcription has been excellent.

Amanda Zhu
Amanda Zhu Co-Founder at Recall
Selectra

Gladia's feature rollouts and performance with noisy telephony and stereo audio have genuinely impressed our team.

AB
Alexandre Bouju CTO Deputy Manager at Selectra

Your callers won't wait for your agent to catch up

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