StenifyAI

Product Introduction

1. StenifyAI is an AI-powered meeting assistant designed to convert real-world conversations into structured, actionable summaries. It processes messy, unstructured audio inputs from meetings and outputs clean summaries tailored to specific meeting types, such as team syncs or client calls. The tool operates through browser-based recording or audio uploads, eliminating the need for manual note-taking.
2. The core value of StenifyAI lies in transforming unstructured meeting discussions into clear decisions, action items, and next steps. It ensures teams leave meetings with precise documentation instead of relying on vague recollections. By automating transcription and summarization, it reduces post-meeting administrative work and enhances productivity.

Main Features

1. StenifyAI automatically distinguishes between up to 35 unique speakers in a recording, tagging each speaker for searchable, formatted transcripts. This feature uses advanced voice recognition algorithms to ensure accuracy even in noisy environments. Speaker identification is maintained consistently across multiple sessions for recurring meetings.
2. The tool intelligently detects meeting types (e.g., team huddles, podcasts, client reviews) and generates summaries optimized for each format. For example, project syncs receive task-oriented summaries, while brainstorming sessions get idea-focused outputs. Users can regenerate summaries unlimited times to refine results.
3. StenifyAI operates entirely in-browser, supporting recording or uploading audio files in formats like MP3, WAV, and AAC without requiring software installations. It processes audio in under 30 seconds and delivers transcripts and summaries instantly, ensuring minimal workflow disruption.

Problems Solved

1. StenifyAI addresses the inefficiency of manual meeting documentation, which often results in fragmented notes, inconsistent formatting, and lost context. Teams waste 2.5 hours per meeting on average transcribing and formatting minutes, with 40% of meeting time lost to note-taking.
2. The product targets professionals who frequently conduct or participate in meetings, including founders, project managers, agency owners, and remote teams. It is particularly valuable for cross-functional teams handling complex projects with multiple stakeholders.
3. Typical use cases include converting team stand-ups into task lists, extracting action items from client calls, and creating searchable archives of brainstorming sessions. It also supports podcasters and content creators needing accurate episode transcripts.

Unique Advantages

1. Unlike competitors requiring subscriptions or enterprise plans, StenifyAI uses a pay-as-you-go credit system with no expiry, allowing users to pay only for actual usage. This model is cost-effective for teams with irregular meeting schedules.
2. The AI’s ability to auto-detect meeting types and optimize summaries accordingly is an industry-first innovation. Combined with 99-language support, it ensures global teams receive localized, context-aware outputs without manual adjustments.
3. StenifyAI’s browser-first design eliminates installation friction, while its speaker identification accuracy (35 voices) outperforms similar tools limited to 5-10 speakers. Credits cover transcription only, with AI summaries provided free of charge.

Frequently Asked Questions (FAQ)

1. How does StenifyAI handle speaker identification in noisy recordings? StenifyAI uses noise-reduction algorithms and voice fingerprinting to isolate speakers, even in environments with background noise. The system learns recurring voices across meetings to improve accuracy over time.
2. What audio formats and sources are supported? The tool accepts MP3, WAV, AAC, and other common formats via browser recording or file upload. It integrates with Zoom, Google Meet, and Microsoft Teams through audio export workflows.
3. How are credits calculated and used? One credit equals one minute of audio transcribed. Summaries are free, and unused credits never expire. A 60-minute meeting consumes 60 credits, regardless of the number of speakers or summary regenerations.