In contact center analytics, transcript errors don't stay put. A wrong entity skews a trend, a misattributed line skews sentiment, and clients notice months later.
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Every topic trend, sentiment signal, and coaching insight your platform sells starts with a transcript, and Gladia's contact center speech-to-text is built for the accuracy that chain depends on.
A wrong product name corrupts a trend. A misheard number breaks a dashboard. Gladia leads Earnings22, the benchmark built on names and numbers.
Topic shifts and product feedback hide in a 1–5% sample. Fast async processing makes analyzing every interaction practical, with calls ready the same day.
Sentiment, talk ratios, and outcome signals only mean something when they're attributed to the right speaker. Gladia labels every word, agent or customer.
One underperforming language leaves a gap in every dashboard for that market. Gladia covers 100+ languages and translates them into one reporting language.
AI agents now handle calls alongside humans. Gladia transcribes both through the same API and output schema, so your analytics cover every interaction.
Generic WER hides the errors analytics can't afford: company names, products, figures. Earnings22 is the toughest public benchmark for entity-dense speech, and Solaria-3 is the only model under 7% WER. Lower is better. Our benchmark methodology is open-source.
See the full comparisonSee the full comparison€50 in free credits, with diarization, sentiment analysis, and named entity recognition included.
Upload recordings for async processing from wherever they live: Genesys, Talkdesk, Twilio Flex, or any CCaaS platform. Human and AI agent calls alike.
Speaker-labeled transcripts with per-utterance sentiment, named entities, and translation. Structured for your trend models and voice-of-customer dashboards.
Compare Gladia against your current provider on your real call audio, including accuracy on the entities your analytics depend on.
Challenge
Aircall builds summaries, key topics, and sentiment on top of every call transcript. As demand for AI insights grew, they needed transcripts faster, and accurately in their key languages.
Insights reach users near-instantly instead of waiting on transcripts.
Powering summaries, topics, and sentiment at scale.
Faster insights translated directly into happier Aircall users.
Gladia's API performs very well with noisy telephony audio and stereo files.
The speed and accuracy improvements were game-changers. We cut transcription time by 95% and the multilingual support is unmatched.
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.
Gladia's feature rollouts and performance with noisy telephony and stereo audio have genuinely impressed our team.
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