The 4-Stage Processing Pipeline
Unlike legacy meeting transcription services that force you to invite an invasive recording bot into your private video calls and upload hours of sensitive audio to external cloud servers, our platform executes its core processing directly within your web browser sandbox.
Audio Ingestion & Subtitle Normalization
When you speak into your microphone, the browser’s native Web Speech Recognition API converts acoustic audio into continuous text streams with zero server roundtrips. If you upload exported subtitle files (.vtt, .srt), our regex engine sanitizes timecodes, HTML span markers, and sequential counter indices to reconstruct clean dialogue.
Conversational Tokenization & Speaker Disambiguation
The engine breaks the sanitized transcript into logical conversational turns. It detects speaker prefixes (e.g., "Elena Rostova: ...") and builds an attendee entity graph to track which participant proposed an idea, agreed to a decision, or volunteered for a task.
Grammatical Heuristics & Decision Pattern Recognition
Our NLP engine evaluates syntactic patterns to isolate actionable intent:
- Commitment Verbs: Detects phrases such as "I will deliver", "taking the lead on", "needs to review".
- Temporal Extraction: Isolates target dates like "by next Friday", "EOD tomorrow", "Q3 release".
- Consensus Markers: Identifies definitive resolutions like "agreed to proceed", "approved the budget", "consensus was".
Generative Synthesis & Markdown Formatting
The extracted entities are structured into your selected output template (Executive Brief, Formal Minutes, Agile Standup, or Task Matrix). The system applies accessible markdown formatting, converting data into responsive tables with color-coded priority badges and copyable checklists.
Zero-Retention Client-Side Architecture
Enterprise security and client confidentiality were the primary design constraints when building this application. Here is how your data is protected:
| Security Layer | Standard Cloud Transcribers | Our Architecture |
|---|---|---|
| Data Ingestion | Sent to remote SaaS backend | ✓ Stays inside client browser memory |
| Database Storage | Stored in persistent DBs | ✓ Zero databases, zero persistence |
| AI Model Training | Transcripts used for training | ✓ Never used to train public models |
| Custom API Keys | Shared with vendor | ✓ Kept exclusively in localStorage |
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