VoiceFlow

Personal Voice-to-Notion Automation (Built for Myself)

10 hours/week saved • Capture ideas without typing

Ideas come while walking. Typing on phone kills momentum. Built VoiceFlow: speak to Telegram bot → AI transcribes, figures out if it's a task/idea/note, drops into right Notion database with tags. 15 seconds total. Use 10-15 times daily. Saved 10 hours/week (no manual organizing).

Before/After

Before: Idea while walking → record voice memo → forget to transcribe → sits in phone forever → lost idea

After: Speak "Need to finish HealthRAG docs by Friday" → 15 seconds → appears in Notion Task Manager with #healthrag tag and Friday due date → actually gets done

Impact: 10-15 captures/day. 95% transcription accuracy. 90% routing accuracy (right database). 10 hours/week saved. Zero manual organizing.

How It Works

Step 1: Walking, idea hits. Open Telegram, hold record button, speak: "Build meditation app for phone anxiety"

Step 2: AI transcribes your voice. Another AI reads it, thinks: "Is this a task to do? Or just an idea to maybe do someday?" Decides it's an idea. Pulls out key themes: meditation, phone anxiety.

Step 3: Creates page in Notion "Ideas" database. Adds tags #meditation #anxiety. Adds full transcript. All in 15 seconds.

Result: Brain dump → organized, searchable, tagged Notion entry. Zero typing. Works while walking, driving, anywhere.

Technical Architecture

1. Voice Processing Pipeline:

  • Telegram bot receives voice message (any length, any quality)
  • Audio forwarded to OpenAI Whisper API for transcription
  • Returns text transcript with timestamp markers
  • Handles multiple languages, accents, background noise

2. AI Intent Classification (Claude):

  • Claude analyzes transcript for semantic meaning and intent
  • Classifies into content types: Task, Project, Idea, Reflection, Note
  • Extracts entities: people mentioned, projects referenced, deadlines stated
  • Generates relevant tags automatically from content themes
  • Determines urgency/priority for tasks

3. Smart Router Logic:

  • Decision tree based on Claude's classification
  • Maps content types to specific Notion databases
  • Handles ambiguous cases: "This could be both task and idea" → creates entries in both
  • Respects explicit user cues: "Add to projects:" forces project routing

4. Notion API Integration:

  • Creates page in appropriate database with structured properties
  • Sets title (extracted from transcript or AI-generated summary)
  • Populates metadata fields: tags, dates, categories, priorities
  • Adds full transcript in page body for context
  • Links to related pages if connections identified

5. Metadata Enrichment:

  • Automatic Tagging: AI extracts themes (e.g., "RAG systems," "productivity," "health")
  • Timestamp Context: Captures when thought occurred
  • Project Linking: If mention existing project, creates relation in Notion
  • Priority Detection: "This is urgent" → high priority flag
  • Category Inference: Places in relevant category structure

What Makes It Special

Doesn't just transcribe — understands intent. "Maybe call John next week" becomes a task with inferred deadline, not just text. Handles casual speech ("um", "like", "you know") and still structures it properly.

Real Numbers

Performance:

  • 10-15 voice messages daily
  • ~10 hours/week saved (no manual transcription or organizing)
  • 95%+ transcription accuracy (Whisper)
  • 90%+ routing accuracy (correct Notion database)
  • 10-15 seconds per message (voice → organized Notion entry)

What Actually Changed:

  • Before: I'd forget most ideas because typing on phone was too much friction
  • Now: Everything gets captured — ideas while walking, tasks during commute, random thoughts
  • All ideas are searchable in Notion with proper tags and categories
  • Mental freedom: I know the system will organize everything, so I just speak

Workflow:

  • Before: Idea → maybe voice memo → forget → lost
  • After: Idea → speak to bot → auto-organized in Notion → actually use it later

Value & Scale

Solved for: 1 person (myself) who thinks while walking

Potential market: Anyone using Notion/productivity tools (100M+ users). Anyone who has ideas away from desk. Knowledge workers, creators, entrepreneurs.

Time saved: 10 hours/week organizing notes = 520 hours/year. At $50/hour value = $26,000/year of time back.

Key insight: Most ideas die not because they're bad, but because friction to capture them is too high. Voice removes friction entirely.

Skills Demonstrated

  • Voice AI Integration (Whisper API)
  • NLP & Intent Classification (Claude)
  • Workflow Automation & Smart Routing
  • Notion API Integration & Database Management
  • Metadata Extraction & Auto-Tagging
  • Product Design for Frictionless Capture
  • Knowledge Management System Architecture
  • Real-Time Processing Pipelines

Technical Stack

Technologies: Python, aiogram (Telegram), OpenAI Whisper, Claude 3.5 Sonnet, Notion API, n8n (routing logic)

Processing: Voice → Text → Classification → Routing → Structured Notion Entry (10-15 seconds end-to-end)

Complexity: 7/10 (multi-API integration, NLP, routing logic, metadata extraction)