Banking transaction analytics with ML-based categorization, local first
-
Updated
Jun 17, 2026 - Python
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.
API documentation for Easy Enrichment - Transaction enrichment with AI
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.
Transform cryptic bank transaction strings into structured, actionable data with Triqai API
MX Technologies APIs.json profile for API Evangelist catalog
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
Syncs bank transactions to Firefly III with LLM-powered auto-categorization
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 open-banking aggregator for the EU. Rails 8 + PSD2/AISP (Enable Banking) + AI transaction categorization + API/MCP.
Firefly-III-Data-Importer: Automatically import and categorize financial data into Firefly III using OpenAI. A smart CSV-Financial-Parser bridge.
Add a description, image, and links to the transaction-categorization topic page so that developers can more easily learn about it.
To associate your repository with the transaction-categorization topic, visit your repo's landing page and select "manage topics."