Rooftop address geocoding
Converts messy, unstructured Indonesian address text into precise rooftop coordinates across 24M+ verified building footprints.
Find any building address in Indonesia in under a second. High-throughput building rooftop geocoding, reverse geocoding, and topological polygon validation for enterprise logistics, banking, and public sector governance.
Engineered to index complex Indonesian addresses across multi-tier administrative subdivisions with sub-second latency.
Converts messy, unstructured Indonesian address text into precise rooftop coordinates across 24M+ verified building footprints.
Translates latitude and longitude coordinates into the official administrative hierarchy: province, city, district, subdistrict, and RT/RW.
Performs high-performance polygon intersection, containment, and radius distance queries directly within distributed memory.
Cleans, parses, and normalises colloquial abbreviations (Jl., Gg., Kav., Lt.) to match the national address standard format.
Search and match landmark references, commercial hubs, government offices, and postal nodes nationwide.
Built for enterprise fleets and delivery routing with gRPC and REST streaming endpoints supporting up to 50,000 requests per minute.
Performance benchmarks established in production environments in Indonesia.
| Parameter | Production metric | Guaranteed threshold | Measured SLA |
|---|---|---|---|
| Single address geocoding latency | 180 ms – 280 ms | < 500 ms | 99.98% |
| Batch geocoding throughput | 12,500 addresses / sec | > 5,000 / sec | 99.95% |
| Rooftop precision match rate | 94.6% in Tier 1–3 cities | > 90.0% | Audited monthly |
| Coordinate reference systems | WGS84 (EPSG:4326), Web Mercator (EPSG:3857) | Standard compliance | 100% |
Send structured or raw unparsed addresses via JSON over TLS 1.3.