Conversation intelligence

Speech-to-text behind conversation intelligence

Async transcription, entity and sentiment output across every call — so topic trends, coaching signals, and voice-of-customer insights reflect what actually happened.

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Used by

Abstract contact center conversation intelligence illustration

On conversational call center speech

The accuracy ceiling of your STT is the accuracy ceiling of every insight built on top of it.

100%

Analyzable interactions

For both human and AI agents alike, get topic trends and voice-of-customer data with no blind spots.

100+

Languages with code-switching

So multilingual contact centers don't create gaps in your sentiment or topic analysis.

Why teams switch to Gladia

Your insights are only as good as the transcripts they're built on.

Every topic trend, sentiment signal, and coaching insight your platform sells starts with a transcript. Gladia is built for the accuracy that chain depends on.

Accuracy ceiling

Errors don't stay where they start

Conversation intelligence failures are gradual and silent — a misclassified sentiment erodes coaching quality, a wrong entity corrupts a trend, and clients only notice months later when an output doesn't match reality. Gladia is built for keyword-level accuracy on the structured data your analytics pipeline models downstream.

Low keyword error rate on structured entities
Accurate on 8kHz noisy telephony audio
Named entity recognition
Sentiment accuracy your coaching triggers can trust

Full coverage

Full interaction coverage, not a sample

Topic trends, sentiment shifts, and product feedback patterns only show up at full volume — not in a 5% sample. Gladia's async pipeline is built and priced for complete interaction coverage at the throughput conversation intelligence platforms need.

Priced for high-volume async
Same-day availability for trend detection
Human and AI agent conversations on one integration
No per-feature surcharge

Speaker attribution

Per-speaker output for coaching and attribution

Coaching and outcome attribution depend on knowing whose behaviors drive results. Reliable diarization on compressed 8kHz telephony separates agent from customer, so sentiment, talk ratios, and outcome signals attribute to the right speaker.

3x fewer diarization errors on telephony audio
Dual-channel agent vs customer separation
Per-speaker sentiment
Speaker-level outcome attribution

Multilingual

Multilingual voice-of-customer, no market blind spots

One underperforming language creates a gap in every topic trend, sentiment dashboard, and coaching insight for clients in that market. Gladia covers 100+ languages with native code-switching, so your conversation intelligence reflects what's actually happening across every geography you serve.

100+ languages
42 languages no other API-level provider covers
Native code-switching
No per-region STT configuration

Hybrid contact centers

One schema for human and AI agent conversations

AI agents now work alongside humans on the contact center floor, and conversation intelligence needs to cover both. Gladia uses the same API and output schema for human and AI agent calls, so your models cover every interaction without a separate integration.

Same schema for human and AI agents
Ready for hybrid contact center deployments
No separate AI agent pipeline
Unified interaction coverage

Getting started

From API key to structured interaction data in minutes

No sales call. No STT infrastructure to build. Send your call recordings, get structured output your pipeline can use.

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 — dual-channel diarization, structured entity output, sentiment analysis, and 100+ languages.

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CCaaS case study

Challenge

Thousands of daily calls, no way to see what customers were actually saying

Selectra handles thousands of inbound calls daily across 200+ sales agents. Manually reviewing recordings to understand customer needs, recurring issues, and sentiment trends was impossible at that volume. The insight was there, locked inside calls no one had time to listen to.

Deeper

Customer insights

Topics, sentiments, and recurring issues identified automatically across every interaction, not inferred from a manually reviewed sample.

200+

Sales agents analyzed

Every agent's calls are available for topic and sentiment analysis, not a manually selected subset.

Expanding

Analytics capabilities

Topics and sentiments are the foundation. Named entity recognition, chapterization, and real-time are already on their roadmap.

Trusted in production by teams building conversation intelligence

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

Anis B. CEO at Attention

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

Farid Issabhaï Staff Engineer at Aircall

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.

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

Amanda Zhu Co-Founder at Recall

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

Alexandre Bouju CTO Deputy Manager at Selectra

Stop letting transcript errors cap your insights

Join 2,000+ enterprise teams building their products with reliable audio intelligence.

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