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AI Transcription

Every word from every call — captured in real time.

AI Transcription converts spoken conversations into searchable text automatically — during the call and after it ends. Agents read live transcripts in their interface; supervisors search past calls by phrase; compliance teams review conversations without listening to audio.

How It Works

Speech to searchable text

1

Call begins and real-time transcription starts automatically

2

Every word is captured and stored as the call progresses

3

Call ends and a complete transcript plus AI summary are generated and stored

Key Capabilities

Transcription that works for you

Real-time transcription for agents

Live transcripts appear in the agent's interface as the conversation happens, giving agents a written record of what the caller said without needing to take manual notes. Agents can glance at the transcript to catch names, numbers, or instructions they may have missed during a fast-paced call.

Post-call full transcript

A complete transcript of every call is generated automatically when the call ends and stored alongside the call recording. Post-call transcripts are searchable and reviewable from the admin portal — no manual transcription required.

Phrase and keyword search

Search all past calls by phrase, keyword, or topic to find relevant conversations instantly. Phrase search is useful for QA teams reviewing specific types of calls, compliance teams looking for particular disclosures, and managers investigating customer complaints.

AI call summaries

After each call, AI generates a short summary capturing the key points discussed, any commitments made, and recommended follow-up actions. Summaries reduce the time agents spend on after-call documentation and improve the quality of records in the CRM.

Speaker diarization

Transcripts identify which speaker said what — agent lines are separated from caller lines so the conversation reads as a coherent dialogue rather than a stream of text. Speaker identification makes reviewing long calls significantly faster.

Integration with analytics

Transcription data feeds into call analytics, enabling keyword frequency analysis, topic tracking, and sentiment signals across large call volumes. Aggregate transcript analysis reveals what customers are calling about, how agents are responding, and where conversations typically go.

Business Benefits

What your team gains

Agents focus on the conversation, not note-taking

With live transcription and AI summaries handling documentation, agents give their full attention to the customer — reducing errors and improving the quality of interactions.

Quality assurance at scale

Reviewing calls one by one is impractical at volume. Keyword search and topic analysis let QA teams work efficiently across large numbers of conversations.

Compliance documentation built automatically

Every call produces a complete transcript and summary without any manual work — creating a consistent, searchable compliance record across your entire phone operation.

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FAQ

Frequently asked questions

Does AI transcription work in real time or only after the call?
Both. Live transcription appears in the agent's interface during the call. A complete post-call transcript is generated and stored when the call ends.
What languages does AI transcription support?
Contact MCC to confirm which languages are supported in your deployment. Transcription accuracy and language coverage depend on the underlying model configuration.
Are transcripts stored securely?
Yes. Transcripts are stored with the same access controls and encryption as call recordings. Role-based permissions govern who can read or search transcripts.
Can I search transcripts by keyword?
Yes. The phrase and keyword search feature allows you to find specific calls based on what was said — useful for QA, compliance review, and coaching.
What is speaker diarization?
Speaker diarization identifies and labels which speaker said each line of the transcript — separating agent speech from caller speech so the transcript reads as a conversation rather than a single text stream.
How do AI call summaries work?
After each call, the AI reads the transcript and generates a short summary of the key points, any commitments made, and recommended next steps. Summaries are designed to reduce after-call documentation time for agents.
Every Word Counts

Every call transcribed, stored, and searchable automatically.

Real-time and post-call transcription with AI summaries built in.