Speak AI

Converts audio recordings from customer calls, interviews, and meetings into searchable text transcripts. Handles multiple speakers and generates timestamped transcriptions for easy reference and analysis.

Analyzes the emotional tone and sentiment expressed in call transcripts and customer feedback. Identifies whether customer sentiment is positive, negative, or neutral across conversations and conversation segments.

Automatically identifies and surfaces recurring problems, frustrations, and unmet needs mentioned by customers across multiple conversations. Aggregates pain points into themes for prioritization.

Groups similar topics and themes across multiple conversations automatically, surfacing common discussion patterns without manual categorization. Helps identify what customers are talking about most frequently.

Presents extracted insights from language analysis in an intuitive, visual dashboard format. Displays sentiment trends, pain points, themes, and key metrics without requiring data science expertise to interpret.

Processes multiple conversation recordings or transcripts in bulk to extract insights across an entire dataset at once. Enables analysis of large conversation volumes without processing them individually.

Creates a searchable database of all transcribed conversations, allowing users to find specific discussions, quotes, or topics across their entire conversation history using keyword search.

Automatically identifies and extracts action items, next steps, and commitments mentioned during customer conversations. Surfaces tasks that need follow-up without manual review.

Connects Speak AI insights and data with external CRM systems, project management tools, and productivity platforms. Enables automated data flow and insight synchronization across business tools.

Compares sentiment, themes, and insights across different customer segments, time periods, or conversation types. Identifies differences and trends between groups of conversations.