
FinTrack AI Reporter
FinTrack AI Reporter streamlines expense tracking end-to-end. Users send invoice images via Telegram; Gemini AI extracts detailed line items (date, merchant, quantity, price, tax, category). Each item is saved into a Notion database. Periodic report workflows fetch recent data, aggregate by category, generate visual charts, and send summary images back to Telegram. No manual entry, instant insights, and full automation for individuals or teams
Trusted by
Built using Google Gemini for visual & text understanding, Notion for structured data management, and standard Telegram bot integration — a robust stack used in modern AI finance pipelines
Success Story
Ramp (via Taggun OCR) reduced administrative time by 80 % through automated receipt processing (example of similar OCR + AI workflow)
Integrates with
Problem
Manually copying invoice details into financial trackers is tedious, error-prone, and time-consuming. Users lose time reconciling images, texts, and then summarizing reports manually
Solution
FinTrack AI Reporter automates the flow: Telegram → Gemini AI extraction → structured logging in Notion → automatic summary bullets and visual charts sent back to Telegram. All within a fully automated pipeline
Result
Users eliminate manual invoice entry, gain category breakdowns instantly, and get recurring insights without effort
Use Cases
FinTrack AI Reporter streamlines expense tracking end-to-end. Users send invoice images via Telegram; Gemini AI extracts detailed line items (date, merchant, quantity, price, tax, category). Each item is saved into a Notion database. Periodic report workflows fetch recent data, aggregate by category, generate visual charts, and send summary images back to Telegram. No manual entry, instant insights, and full automation for individuals or teams
Integrations
Connect to your existing tools seamlessly
Technology Stack
Automation
Automation
Infrastructure
Implementation Timeline
Telegram Bot & Webhook Setup
0.3 dayConfigure Telegram bot, verify webhook, and connect message handling logic for incoming invoices
Gemini AI Configuration
0.3 daySet up Gemini AI credentials, design the image-to-text prompt logic, and test sample invoice parsing
Notion Database Integration
0.3 dayCreate Notion database schema, connect the agent, and ensure proper data mapping for invoice fields
Parsing & Logging Workflow
0.3 dayBuild parsing and logging pipelines, validate structured outputs, and handle errors automatically
Reporting & Chart Generation
0.4 dayConfigure scheduled reporting, set up visual chart creation, and link dispatch to Telegram or email
End-to-End Testing & Deployment
0.4 dayTest the full workflow with real invoice samples, validate roundtrip execution, and finalize deployment
Support Included
Setup guide, JSON schema templates, prompt examples, error-handling stubs







