Same enterprise-grade geocoding, places search, and mapping APIs you rely on — at 84–125× lower cost. No billing surprises. No mandatory SDK. Open standards throughout.
Google Maps API was designed for maps, not for developers building geocoding pipelines, logistics apps, or address-heavy SaaS products. The billing is unpredictable and scales against you.
Covering the APIs that matter most to developers building geocoding-heavy applications.
The endpoint URL and response format are the main changes. Here's the geocoding call side-by-side.
// Google Geocoding API const url = `https://maps.googleapis.com/maps/api/geocode/json?address=${address}&key=${GOOGLE_KEY}`; const res = await fetch(url); const data = await res.json(); const lat = data.results[0].geometry.location.lat; const lng = data.results[0].geometry.location.lng; const label = data.results[0].formatted_address;
// Mapsi Geocoding API const res = await fetch( `https://mapsi.dev/v1/geocode?text=${address}`, { headers: { 'X-API-Key': MAPSI_KEY } } ); const data = await res.json(); const [lng, lat] = data.data.features[0].geometry.coordinates; const label = data.data.features[0].properties.label;
Note: GeoJSON coordinates are [lon, lat] order — standard per the GeoJSON spec.
All plans include every API. No à la carte billing. No separate charges for geocoding vs. places vs. static maps.
Whether you're building a logistics app, an address input form, or a data pipeline — Mapsi's flat pricing means costs stay predictable as you grow.
Yes, for high-volume use. At 35,000 geocoding calls/day, Google Maps API costs approximately $3,625/month (at $5 per 1,000 calls). Mapsi's Growth plan costs $29/month flat — that's 125× cheaper. At 140,000 calls/day, Google costs ~$8,350/month vs Mapsi's $99/month flat (84× cheaper). The gap is even larger when you factor in Places Search and other APIs that Google charges separately.
Most developers migrate in under an hour. The main change is the endpoint URL and the response format (Mapsi returns standard GeoJSON). Coordinates come back as [longitude, latitude] per the GeoJSON spec. See the side-by-side migration example above for a direct before/after code comparison.
All 11 APIs are included at no extra cost: Geocoding, Reverse Geocoding, Batch Geocoding, Address Autocomplete, Places Search, Static Maps, Point-in-Polygon, Address Normalization, Timezone Resolution, Postcode Lookup, and Routing (via Valhalla). Google Maps charges separately for most of these — the total bill for equivalent coverage can be 10–100× higher.
Mapsi offers a 10-day trial on all paid plans so you can test it fully before committing. If you need a permanently free option for very low volumes, open-source self-hosted stacks like Nominatim (OSM) exist, but they require server maintenance and have no SLA. Mapsi is the best low-cost option if you need reliability and global coverage without the overhead of self-hosting.
Yes. Mapsi is a pure REST API — any language or framework that can make an HTTP request works: JavaScript/Node.js, Python, Go, PHP, Ruby, Java, cURL, and more. There is no mandatory SDK. The documentation includes code examples for common languages, and the Playground lets you test live without writing any code.
Mapsi covers 200+ countries using OpenStreetMap data enriched with official address databases (OpenAddresses, Who's on First). Urban coverage in North America, Europe, and Australasia is comparable to Google Maps. Rural and developing-region coverage is strong but may be less granular in some areas. For most geocoding workloads — logistics, address validation, location search — Mapsi accuracy is production-grade.