What is Dictalogic Conversation to Text?

Overview

Dictalogic Conversation to Text is a dedicated module within the Dictalogic platform that automatically transcribes multi speaker audio and video recordings into structured, readable text. Unlike standard Speech to Text, which is designed for a single speaker dictating into a microphone, Conversation to Text is built specifically to handle the complexities of real world conversations including meetings, interviews, consultations, conference calls, and focus groups where multiple people are speaking at different times.

Applies to

All Users, Administrators

What does it do?

Conversation to Text takes an audio or video recording of a conversation and processes it through Dictalogic’s AI transcription engine powered by Microsoft Azure Cognitive Speech Services  to produce a full written transcript. The system uses a technology called speaker diarization to automatically detect when different speakers are talking and separate their contributions in the transcript, labelling each speaker individually.

The result is a clear, structured document that shows who said what and when, without requiring a human transcriptionist to manually type the conversation word for word.

Key Features

Speaker diarization: Automatically detects and separates multiple speakers within a recording, labelling each one distinctly in the transcript.

Speaker identification: Where speaker profiles are available, the system can match detected voices to named individuals.

Multi format file support: Accepts a wide range of audio and video file formats for upload and transcription.

Multi language support: Transcribes conversations in a range of languages supported by the Azure Cognitive Speech engine.

Post transcription editing: Transcripts can be reviewed, corrected, and edited within the Dictalogic platform after generation.

Integration with video conferencing tools: Can integrate with platforms such as Zoom and Microsoft Teams to capture and transcribe meeting recordings.

Secure cloud processing: All audio is processed and stored securely within Microsoft Azure data centres.

Sharing and export: Completed transcripts can be shared with colleagues or exported for use in reports and documents.

Typical use cases

Conversation to Text is widely used for medical and clinical consultations, legal interviews and depositions, HR interviews and disciplinary proceedings, business meetings and board minutes, police and social care interviews, focus groups and research interviews, conference calls, and podcast and media transcription.