Real-time call transcription
Real-time transcription turns every call into an immediate source of actionable insights. Instead of waiting until after the call has ended, you can spot issues, guide your agents, and optimise outcomes in the moment.
GET A DEMOGet instant insights with real-time call transcription
Enreach delivers real-time, accurate call data as it’s spoken—creating the foundation for intelligent workflows and next-level possibilities. By providing live transcripts instantly, Enreach powers smarter processes and seamless integration with AI tools.
Unlock possibilities with live call data
Real-time monitoring
Supervisors can monitor live calls as issues arise, enabling immediate interventions to resolve problems and emergencies—no need to wait for post-call analysis.
Reduced note-taking
Transcripts are auto-generated, so agents can stay focused on the customer instead of taking notes. No details are missed, and call summaries are generated for immediate reference.
Instant guidance
Agents can receive Next-Best-Action suggestions and relevant knowledgebase articles during calls, empowering them to answer detailed questions effectively and increase the likelihood of resolving issues or closing deals in real time.
Live trend tracking
Track real-time trends across calls, like service outages or frequent complaints, to address issues proactively and improve operations.
Instant call analysis
Get immediate insights, such as call classification, customer sentiment and common issues during calls to adapt strategies and improve outcomes on the spot.
Accessibility
Real-time transcriptions make calls accessible to individuals with hearing impairments, ensuring inclusivity and providing a text version of the conversation for immediate review.
Power your AI tools with real-time, accurate call data
Predictive analytics, sentiment analysis, and recommendation engines are only as good as the data they receive. Without high-quality, real-time transcription, these tools can’t operate effectively—or at all.
Enreach delivers instant, reliable call data as conversations unfold, giving your AI ecosystem the input it needs to perform at its peak.

Seamless integration with your tools of choice
Enreach's call transcripts serve as a reliable, real-time data feed into any AI solution you choose, such as your CRM, analytics platforms, or recommendation engines.
For example:
- Recommendation engines in CRMs can generate predictive suggestions, such as the next best action or upsell opportunities, based on the conversation's context.
- AI-powered customer contact analysis tools can identify operational inefficiencies and reduce costs by analyzing data from phone calls.

Frequently asked questions about real-time call transcription
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What is real-time call transcription?
Real-time call transcription is the process of converting spoken conversations into written text as the conversation is happening, rather than after the fact. It works by using automatic speech recognition (ASR) technology to process the audio stream and generate text output with minimal delay.
It provides a live, accurate record of interactions that allows teams to monitor conversations, resolve issues proactively, and gain insights without delays. -
Does real-time transcription work for both live and post-call analysis?
Yes, real-time transcription works for both live and post-call analysis. During calls, it provides instant insights that enable agents and supervisors to act immediately. After the call, the same transcriptions can be reviewed for trends, summaries, sentiment analysis, and process improvements, ensuring value at every stage of the interaction.
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How is real-time transcription data used, and is it secure?
Real-time transcription data is used to monitor calls live, provide actionable insights, and analyse interactions for trends, customer sentiment, and performance improvement. The data is encrypted during transmission, ensuring compliance with privacy regulations like GDPR. Additionally, there is a separate access control in place for call transcriptions, further enhancing data security and protecting sensitive customer information.
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