Real-time Multilingual Speech-to-Text Platform

The challenge
Calls and meetings across Europe switch between languages and accents. Recordings pile up unanalysed because generic transcription tools fail on mixed languages and domain vocabulary.

What we built
We built a real-time speech-to-text platform for a UK organisation working across EU markets. It transcribes live audio with low latency, handles several languages in the same conversation, and tells speakers apart.

Every transcript is enriched with topics, entities, and timestamps, ready for search, compliance checks, analytics, and GenAI assistants. It connects to existing telephony and meeting tools, with privacy by design for EU data.

Business value

  • Spoken data finally searchable and usable
  • Accurate transcripts across languages and accents
  • Live monitoring and compliance checks
  • A base for call analytics and GenAI assistants

Where else it applies
The same approach transfers to contact centres, media monitoring, healthcare documentation, and legal hearings. It belongs to our Real-Time Intelligence work: data analysed as it happens, with alerts when something needs attention, instead of reports that arrive too late.

Task

Transcribe multilingual conversations in real time.

  • Strategy

    Streaming speech recognition with language detection and code-switching, integrated with existing tools.

  • Design

    Low-latency audio ingestion, multilingual ASR with speaker diarisation, enrichment services, and APIs.

  • Client

    E-commerce and retail company in England (UK)

  • Tags

    ASR, data processing, real-time processing, Retail

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