Emra / Always on Transcription and PTT

Product Introduction

1. Definition: Emra / Always on Transcription and PTT is a real-time AI-powered speech-to-text software designed for professional productivity. It operates as a lightweight desktop application (Windows/macOS) using automatic speech recognition (ASR) technology to transcribe spoken words at 140 words per minute.
2. Core Value Proposition: Emra eliminates friction in converting verbal ideas into actionable text, enabling professionals to capture thoughts instantly during meetings, brainstorming, or solo workflows without switching applications. Its core innovation lies in persistent, platform-agnostic transcription that works independently of other software.

Main Features

1. Push-to-Talk (PTT) Transcription:

   • How it works: Users activate transcription via a customizable hotkey, streaming text in real-time as they speak. Leveraging transformer-based ASR models, it processes audio locally before secure cloud refinement.
   • Technical specs: 140WPM throughput, <500ms latency, offline audio buffering.

2. Always-On Meeting Transcription:

   • How it works: Runs silently in the background during video calls (Zoom, Teams, etc.), auto-detecting speech segments. Uses speaker diarization to tag participants and generates post-meeting summaries via extractive AI.
   • Technical specs: End-to-end encryption, cross-application compatibility.

3. Workflow Integrations:

   • How it works: Transcripts auto-sync to markdown or plain-text files. AI extracts action items/follow-ups using entity recognition, enabling one-click export to task managers.
   • Technical specs: Local storage prioritization, API-less desktop integration.

Problems Solved

1. Pain Point: Fragmented thought capture causing lost ideas during context-switching.
   • Keywords: cognitive load reduction, workflow interruption, idea leakage.
2. Target Audience:
   • Remote product managers documenting sprint retrospectives.
   • Researchers verbalizing complex hypotheses.
   • Journalists conducting interviews.
3. Use Cases:
   • Real-time transcription of client negotiations for compliance records.
   • Solo brainstorming sessions converted into structured outlines.
   • Capturing ad-hoc feedback during code reviews without typing.

Unique Advantages

1. Differentiation vs. Competitors (Otter.ai, Descript):
   • Unlike cloud-dependent alternatives, Emra’s hybrid processing (local + cloud) enables background operation during non-meeting activities. Competitors lack its persistent PTT streaming visualization.
2. Key Innovation:
   • Context-Aware Buffering: Retains 15s of pre-activation audio to capture spontaneous ideas. Patent-pending noise-floor adaptation filters background chatter in open offices.

Frequently Asked Questions (FAQ)

1. Does Emra Voice work offline for transcription?
   Emra buffers audio locally during offline use, auto-syncing transcripts when internet connectivity resumes, ensuring no data loss.
2. How accurate is Emra’s speech recognition for technical jargon?
   Current accuracy averages 92% for general English, with custom vocabulary uploads for domain-specific terms (e.g., medical/engineering terminology).
3. Can Emra transcribe multilingual meetings?
   While currently English-only, Emra’s architecture supports dynamic language switching (beta Q4 2023), with Spanish and Mandarin prioritized.
4. Is Emra Voice HIPAA/GDPR compliant?
   Yes, all data is encrypted at rest (AES-256) and in transit (TLS 1.3), with opt-in enterprise compliance modules.
5. How does Emra’s pricing compare to Otter.ai’s Pro plan?
   Emra offers 20 hours/month ($30) vs. Otter’s 10 hours ($16.99), making it 50% more cost-efficient for heavy users. Top-ups cost $1.50/hour versus competitors’ $2-$3/hour.