Blog
Browse Geocoding Tutorials, Guides & Updates
Add IP Geolocation to Your Geocoding Stack in One Call
If you already use CSV2GEO for address geocoding, you can now resolve IP addresses too — country, region, city, postal code, ASN, and county — through the same API key, in one call, with sub-millisecond response times. The endpoint is GET /api/v1/ip?ip=… . It's bundled into every plan including Free. No separate billing, no separate vendor. How accurate is IP geolocation, really? Honest answer:...
| May 20, 2026
Read Add IP Geolocation to Your Geocoding Stack in...
Reverse Geocoding Accuracy: How Far Off Are Your Results?
A coordinate goes into a reverse geocoder; an address comes out. The address is *somewhere near* the coordinate — but how near? The answer depends on the coordinate's source, the geocoder's index density in that area, and what "match" means in this dataset. In some neighborhoods you get the right house; in others the geocoder returns "the nearest known address," which might be 80 meters away. This...
| May 19, 2026
Read Reverse Geocoding Accuracy: How Far Off Are Y...
Observability for Geocoding Pipelines: The Metrics That Matter
A geocoding pipeline that "feels fine" can be silently degrading for weeks before someone notices. Match rates drift from 95% to 88% over a quarter; cache hit rate quietly falls because a key normalization regression made cache lookups miss; the API bill creeps up 20% and nobody connects it to the new product feature that doubled query volume. None of these get spotted without metrics. This post i...
| May 19, 2026
Read Observability for Geocoding Pipelines: The Me...
Batch vs Realtime Geocoding: Picking the Right Default
The two patterns for getting addresses geocoded look completely different and someone always asks "which one do we need?" The honest answer is "you probably need both, but only one matters for the immediate decision." This post is the practical version: when batch makes sense, when realtime makes sense, the cost math, and the architecture that lets a single pipeline serve both modes without a rewr...
| May 17, 2026
Read Batch vs Realtime Geocoding: Picking the Righ...
Exponential Backoff for Geocoding: When to Retry, When to Stop
A geocoding pipeline that retries everything aggressively is the same pipeline that quadruples its API bill during a brief upstream outage and then hits the provider's circuit breaker, making the outage look longer than it actually was. A pipeline that doesn't retry at all is the pipeline that loses 5% of its rows on a 30-second blip and you find out two days later from a customer. The right shape...
| May 16, 2026
Read Exponential Backoff for Geocoding: When to Re...
Rate Limiting a Geocoding Pipeline: Token Bucket vs Leaky Bucket vs Sliding Window
Your geocoding pipeline starts hitting 429 Too Many Requests. The provider's documented limit is "1,000 requests/minute." You're sending in bursts of 20 across 30 workers, but you're also re-trying on errors, and the math doesn't quite add up to "1,000/min." Welcome to client-side rate limiting — the part of the pipeline you only think about after a production incident. This post is the practical...
| May 15, 2026
Read Rate Limiting a Geocoding Pipeline: Token Buc...
Caching Strategies for Geocoding: Redis, SQLite, or In-Process
You've decided to cache your geocoding calls. The question is where. Three answers cover ~99% of real pipelines: an in-process LRU map, a SQLite file on disk, or Redis. Each has a clear sweet spot. Pick wrong and you'll either burn money on Redis Cloud you didn't need or hit a wall when the in-process cache evaporates on every deploy. This post is the practical comparison: scale ranges, latency, p...
| May 14, 2026
Read Caching Strategies for Geocoding: Redis, SQLi...
Idempotent Geocoding: Why and How to Make Calls Safe to Retry
A geocoding pipeline that isn't idempotent is a pipeline that double-charges you, double-writes results to your warehouse, and silently corrupts data the day a worker crashes between "API call succeeded" and "result written to DB." Idempotency isn't optional — it's the property that lets you retry on every failure without consequences. Done right, it's invisible. Done wrong, you find out about it...
| May 13, 2026
Read Idempotent Geocoding: Why and How to Make Cal...
Deduplicating Geocoded Addresses: Stable Keys and Fuzzy Matching
You buy a marketing list of 50,000 addresses. You geocode it. The bill is $25. A week later you buy a "fresh" list from the same vendor. You geocode it. Bill is $25 again. You compare the lists: 18,000 of those 50,000 are the same addresses written differently. You just paid $9 to geocode the same buildings twice. This post is the deduplication playbook. Stable hash keys for the easy 80%, fuzzy ma...
| May 12, 2026
Read Deduplicating Geocoded Addresses: Stable Keys...
Address Parsing Before Geocoding: Cleaning Inputs for Better Matches
The single biggest match-rate improvement most geocoding pipelines never make is parsing the address before sending it. The team running the pipeline assumes the geocoder will figure out "123 Main St Apt 4B Brooklyn NY 11201"; it usually does. They also assume it will figure out " Apt 4B / 123 main street Brooklyn, NEW YORK 11201-1234, USA "; this is where match rates start to slip. Every quirk...
| May 11, 2026
Read Address Parsing Before Geocoding: Cleaning In...