Quality assurance

The speech-to-text layer behind QA tools that score every call

Accurate on the words that determine whether a call passes or fails, not just overall WER.

Used by

  • Aircall
  • Selectra
  • Adversus
Contact center quality assurance illustration
2x
faster QA review
Automate compliance checks and review calls in half the time it takes to do it manually.
#1
on noisy, conversational call audio
Benchmarked on compressed, noisy 8kHz telephony audio against leading ASR providers, not studio recordings.
3x
Fewer diarization errors
On telephony audio, for agent-vs-customer attribution that QA scores, talk ratios, and coaching reports can actually build on.
Why teams switch to Gladia

Accurate enough to score every call. Fast enough to review same-day.

The accuracy of your STT layer impacts every QA score, compliance flag, and coaching note built on top of it.

Keyword accuracy

Keyword accuracy, not overall WER

Most STT providers benchmark on aggregate WER. Your QA scorecard depends on whether the right specific words landed – compliance phrases, account numbers, required disclosures.

  • Low keyword error rate on structured entities
  • Named entity recognition
  • Compliance phrase accuracy on noisy telephony audio
  • Account numbers, contract IDs, and contact data captured correctly
Full coverage

From manual sampling to full coverage, faster

Review calls in a fraction of the time it takes manually and validate AI findings instead of scanning transcripts by hand. That speed is also what makes 100% coverage possible, scoring every interaction instead of a 1–5% sample.

  • 100% call coverage, no manual sampling ceiling
  • ~2x faster QA review per call
  • Same-day call availability
  • All QA features in one pass
Diarization

Agent vs. customer, correctly attributed

Every QA output – talk ratios, per-agent sentiment, compliance attribution – depends on correctly knowing who said what. Gladia delivers 3x fewer diarization errors on real telephony audio, with dual-channel accuracy.

  • 3x fewer diarization errors
  • Dual-channel diarization built for 8kHz telephony
  • Per-speaker sentiment and talk ratios
  • No per-channel billing surcharge
Structured output

Structured output your QA pipeline can use directly

Gladia returns speaker-labeled transcripts with sentiment scores and named entities — structured for your QA scorecard or compliance dashboard without custom parsing or transcript cleanup.

  • Utterance-level sentiment
  • Named entity recognition
  • Structured output, QA-pipeline-ready
  • No separate NLP layer required
Compliance

Compliance detection your QA team can trust

Required disclosures, prohibited phrases, and compliance scripts checked against every call, with PII redacted from transcripts before they reach your dashboard or downstream tools.

  • Compliance phrase and disclosure detection
  • PII redaction built-in
  • Structured compliance flags
  • No manual redaction step before storage or sharing
Multilingual

Multilingual coverage for global QA programs

100+ languages including 42 no other API-level provider supports, with mid-conversation code-switching handled automatically — so QA scoring holds up whether your contact center runs in one language or twenty.

  • 100+ languages, 42 unsupported elsewhere
  • Mid-call code-switching detection
  • Consistent accuracy across languages
Getting started

From API key to scored calls in minutes

No sales call. No STT infrastructure to build. Send your call recordings, get structured QA-ready output — that's it.

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, sentiment analysis, named entity recognition, and 100+ languages.

Selectra

CCaaS case study

Challenge

Every compliance check meant downloading a call and searching the transcript by hand

Selectra's QA team was reviewing recordings one by one, manually scanning transcripts for compliance words and phrases across 200+ sales agents handling thousands of daily inbound calls. The process couldn't scale and the calls that didn't get reviewed were blind spots.

Automated
Quality monitoring
Call transcripts matched against internal compliance scripts automatically. Agents validate findings instead of reviewing recordings manually.
200+
Sales agents monitored
Thousands of inbound calls processed daily across France, every one available for QA review, not just the fraction a manual team could reach.
Deeper
Call insights
Topics, sentiments, and agent performance extracted from every interaction, not inferred from a manually sampled subset.
What builders say

Trusted in production by enterprise teams

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 QA scores are only as good as the transcript they're built on.

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