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Technical guides, customer stories, and product updates

Speech-To-Text

From transcript to actionable notes: Building effective LLM pipelines for meeting intelligence

Build effective LLM pipelines for meeting intelligence using modular stages, async transcription, and JSON schema enforcement.

Speech-To-Text

Rev.ai multilingual limitations: why global teams switch to Gladia

Rev.ai multilingual limitations create product risk for global teams. Learn why companies switch to Gladia for 100 language support.

Speech-To-Text

Code-switching across 100+ languages: where ASR systems succeed and fail

Code-switching ASR must handle mid-sentence language changes. Learn which pairs work, why WER degrades 30-50%, and how to evaluate.

Speech-To-Text

Building note-taker pipelines in Python: async transcription, LLM integration, and production deployment

Building note-taker pipelines in Python requires async transcription, LLM integration, and production-ready architecture patterns.

Speech-To-Text

Best Google Meet transcription tools and APIs: comparison and selection criteria

Compare Google Meet transcription tools and APIs for product teams. Evaluate WER, latency, pricing at scale, and bot-free capture.

Speech-To-Text

Code-switching detection: how to identify mixed-language speech automatically

Code-switching detection identifies language changes in speech automatically, enabling ASR systems to handle mixed-language audio accurately.

Speech-To-Text

Rev.ai alternatives: best speech-to-text APIs for global teams

Rev.ai alternatives comparison for 2026: Gladia, AssemblyAI, Deepgram, Google Cloud, and Azure evaluated on multilingual accuracy.

Speech-To-Text

Async vs. real-time transcription for meeting notes: when to choose each approach

Async vs. real-time transcription for meeting notes: when to choose each approach based on accuracy, latency, and infrastructure.

Speech-To-Text

Azure Speech Services vs Gladia: Enterprise SLA, data residency & compliance comparison

Azure Speech Services vs Gladia: Compare enterprise SLA, compliance, pricing, and data residency for speech to text infrastructure. Both platforms meet SOC 2 Type 2 and GDPR requirements, but differ on cost structure and integration speed for product teams building at scale.