transaction-categorization

Real-time Ethereum whale tracker with WebSocket transaction streaming, ETH/ERC-20 decoding, and instant Telegram alerts above a configurable USD threshold. Wallet labels, counterparty analysis, smart-money PnL, exchange flows, SQLite storage, CSV/XLSX/JSON export, auto-reconnect, and cross-platform Python support.

Banking transaction analytics with ML-based categorization, local first

AI-powered bank statement analyzer that automatically categorizes transactions for expense tracking. Built with FastAPI, MQTT & Docker. Supports LLaMA 2/3, Gemma & other LLMs for intelligent financial insights.

Self-hosted open-banking aggregator for the EU. Rails 8 + PSD2/AISP (Enable Banking) + AI transaction categorization + API/MCP.

A financial data enrichment engine that processes and categorizes raw Turkish credit card transactions. It transforms unstructured statements into clean, readable data using a custom-trained machine learning model.

API documentation for Easy Enrichment - Transaction enrichment with AI

Transform cryptic bank transaction strings into structured, actionable data with Triqai API

Open Banking transaction categorisation: 259k real bank transactions into 31 categories with TF-IDF and a linear SVM (90.7% accuracy, 0.80 macro-F1), plus confidence-based routing for production.

🏰💰 Local-first personal finance & budgeting app for the desktop. Import OFX bank statements, track spending, subscriptions, savings goals, mortgages and net worth, with optional on-device AI categorization via Ollama. No cloud, no bank sync, no telemetry. Flutter + FastAPI + SQLite · 🇫🇷/🇬🇧

Take full control of your finances. Privacy-first, self-hosted money management with smart categorization and AI-powered insights — your data never leaves your server.

Self-hosted transaction categorization and review queue for QuickBooks Online. An open-source alternative to Uncat.

Google Sheets budget tracker that imports and categorizes bank transactions via Plaid

MX Technologies — independent third-party profile of a public API surface, by API Evangelist. MX Technologies is a financial data connectivity platform that provides REST APIs for account aggregation, data cleansing, transaction categorization, and open banking connectivity across more than 16,000 financial institutions.

Personal finance statement intelligence — upload a bank statement in any format (CSV, PDF, scanned image) and get categorized transactions, spending views, explainable anomaly flags, and a natural-language query box. Deterministic-first: the LLM is the last resort and every automated decision is logged.

Hybrid ML transaction categorization with FAISS, BM25, and GPT-4 for accounting automation

Self-hosted personal finance tracker with Plaid bank sync, rule-based categorization, and encrypted credential storage

KontoKlar: Bankumsätze aus CSV kategorisieren, wiederkehrende Zahlungen und persönliche Inflationsrate. Regel-Engine, Embeddings mit kNN, fail-closed API. Next.js, TypeScript.

Syncs bank transactions to Firefly III with LLM-powered auto-categorization

AI agent that categorizes Indian UPI bank transactions: rules + SBERT baseline, an LLM agent (Claude or free-tier Gemini) calling MCP tools, RAG merchant lookup on pgvector, a human review queue, an n8n trigger, and an eval harness with a hand-written held-out set.

A budget tracker that runs on your own machine. Reads your bank and credit-card statement PDFs, sorts the transactions into your budget categories, and learns from the corrections you make. Tracks each month against budget and averages across months. Dollar amounts never leave your machine.