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AudioLens AI

Voice to Action in an Instant

Turn meetings and calls into concise, actionable reports effortlessly.

Overview

AudioLens AI converts speech to structured insight. Users upload meeting recordings or interviews via the web interface. First, Cortext AI speech-to-text engine generates a transcript. Then the LLM guided by domain-specific prompts identifies key discussion points, decisions, and tasks. The system produces a concise report with bullet-point summaries and a clear list of action items, specifying who will do what and by when. This transform lengthy audio recordings into digestible, data-driven meeting minutes. The entire pipeline runs in a serverless architecture on Snowflake with Cortex AI, delivering fast results even for hour-long recordings.

Key Features

1

Accurate Transcription

Used advanced automatic speech recognition (ASR) to convert speech to text, separate speakers and filter out filler sounds.
2

Context-Specific Summaries

Applies tailored prompts for different scenarios (e.g., sales calls vs. technical reviews) to ensure outputs meet the needs of the intended audience.
3

Action Item Extraction

Identifies next steps discussed in the audio and assigns them to specific individuals or teams.
4

Structured Output

Outputs a formatted Word or PDF document with clear sections such as Summary, Decisions Made, and Action Items for easy sharing and distribution.
5

Customizable Templates

Allows users to define report style, including level of conciseness and tone (formal vs. informal), to match organizational standards.

Who benefits from AudioLens AI?

After a complex vendor negotiation call, a project manager uploads the meeting recording. Within minutes, AudioLens AI delivers a summary of the contract terms discussed, key concessions, and a table of action items (e.g, Follow up budget numbers –Finance by Friday). She share the report to stakeholders immediately after the meeting, ensuring everyone remains aligned and informed.

Why are meeting insights lost?

Important information from interviews, meetings, and calls is often buried in unsearched audio recordings. Manually transcribing and summarizing these conversations is time-consuming and inconsistent. Teams frequently miss critical decisions or action items when relying on handwritten notes.

What value does it create?

Modern LLMs excel at summarization and action-item extraction, effectively transforming unstructured meeting transcripts into structured summaries and action items. By automating meeting reports, organizations capture close to 100% of critical information instead of the 20–50% typically retained through manual note-taking. Project teams save hours of meeting preparation and follow-up work. For example, an hour-long meeting that once took a full day to document can now be distilled to a one-page report in minutes. This accelerates decision-making, improves accountability, and multiplies the effective output of each meeting.

Powered by?

AudioLens AI is powered by Cortext AI on Snowflake, leveraging the latest advances in large language models (LLMs), retrieval-augmented generation (RAG), and prompt engineering. Industry data on these capabilities and outcomes is supported by AWS and independent reports on RAG-based systems and AI productivity tools.