Structured JSON from raw UPI, NEFT, IMPS, and card messages. Plug into your fintech backend today — no scraping, no regex wrangling.
No credit card required · 1,000 parses free · Up and running in 5 minutes
Paste any Indian bank SMS and see the parsed output instantly.
Output will appear here
Every SMS passes through a three-tier waterfall, cheapest first. 99%+ resolve at Tier 1 or 2.
Tier 1 — Rule Engine
Regex patterns for 80+ bank formats
Tier 2 — NLP Model
DistilBERT NER for novel formats
Tier 3 — LLM Fallback
Claude Haiku for unknown formats
All major Indian public and private sector banks, UPI apps, and payment wallets.
Automatically categorize transactions from bank SMS. Build expense summaries without asking users to upload statements.
Turn SMS into structured expense entries without OCR or screen scraping. Works with all 80+ banks out of the box.
Enrich transaction streams, detect duplicates, auto-reconcile ledgers. Sub-2ms latency fits in any sync API path.
Designed for DPDP Act 2023 compliance from day one. Not bolted on after.
Raw SMS never persisted to disk or database
Structured metadata only — no PII stored at rest
All infrastructure on India-region servers