CSV Geocoder & Address Validator
Drop in your spreadsheet of store locations and instantly see whether your addresses are clean, complete, and ready to put on a map — before you import a single row. 100% free and processed right here in your browser.
Upload your CSV to check it
Drag & drop a .csv export of your locations, or browse to select a file. The first row should contain your column headers.
Your file is parsed locally and never uploaded to a server.
How the CSV geocoder checker works
Three steps, zero uploads. Validate your address data is import-ready, then let Maptera do the heavy lifting.
1. Drop in your CSV
Upload any export from your CRM, POS, Shopify, Wix, or a hand-built spreadsheet. Parsing happens entirely in your browser — your customer and location data never touches our servers.
2. Confirm your columns
We auto-detect name, address, city, state, ZIP, and country from your headers. Remap anything that looks off and watch the readiness score and field-coverage bars recalculate live.
3. Import & geocode
See exactly how many rows are map-ready and which are missing fields. When you sign up, the same file imports and every address is geocoded to coordinates automatically.
What “geocoding” actually means — and why your CSV matters
Geocoding is the process of converting a written address — “1200 Market St, San Francisco, CA 94102” — into the precise latitude and longitude a map needs to drop a pin. A store locator can only plot a location if it can geocode that location's address, and a geocoder can only succeed if the address it receives is complete and unambiguous. That is why the quality of your source spreadsheet is the single biggest factor in how clean your final map looks.
Most location spreadsheets arrive with quiet problems: a street column merged with a suite number, a state stored as a full name in some rows and an abbreviation in others, ZIP codes that lost their leading zero when the file passed through Excel, or a handful of rows where someone forgot the city entirely. These rows still look fine at a glance, but they will either fail to geocode or land in the wrong place. This free tool surfaces those gaps in seconds so you can fix them before they become wrong pins in front of your customers.
Why we built this as a browser-only tool
Your location list is sensitive business data. Rather than ask you to upload it to a server you don't control, this checker parses and analyzes the file entirely on your own machine using the open-source PapaParse library. Nothing is transmitted, logged, or stored — close the tab and the data is gone. You get the validation value without the privacy trade-off, and you can run it as many times as you like against as many exports as you want.
A clean CSV checklist before you import
- One header row, clear names. Put a single row of column names at the top — like Name, Address, City, State, ZIP — so the importer can map fields automatically.
- Split address parts into columns. Keep street, city, state, and ZIP in separate columns rather than one big free-text field — it dramatically improves geocoding accuracy.
- Preserve leading zeros in ZIPs. Format the ZIP column as text before exporting so 02134 doesn't become 2134.
- Be consistent with states. Pick either full names or two-letter abbreviations and stick to one across every row.
- Remove duplicate locations. The same store listed twice becomes two overlapping pins. This tool flags likely duplicates so you can dedupe first.
- Save as UTF-8 CSV. This keeps accented characters and special symbols in city and business names intact.
From spreadsheet to interactive map
Once your CSV passes this readiness check, Maptera takes it the rest of the way. Sign up, upload the file, confirm your column mapping once, and every row is geocoded automatically — no separate geocoding API, API keys, or rate-limit juggling required. Your locations then power a fast, searchable, mobile-friendly interactive store locator you can embed anywhere, plus individual SEO-friendly location pages that help nearby customers find you in search. See how teams across dozens of industries put it to work, or browse pricing — free to start, with paid plans from $17.99/month.
Already on Shopify or Wix? You can skip the CSV altogether and sync products or locations directly — see the Shopify and Wix install guides, or grab a universal embed snippet for any website. Need more free utilities? Explore the full tools collection.
Frequently asked questions
Is my data uploaded anywhere?
No. Your CSV is parsed and analyzed entirely inside your browser using JavaScript. The file never leaves your computer and is never sent to Maptera or any third party. Refresh the page and it is gone.
Does this tool actually geocode my addresses?
This free checker validates that your spreadsheet is import-ready — it confirms the right columns are present and counts how many rows have a complete address. Live geocoding (turning every address into precise map coordinates) happens automatically the moment you import the same file into a Maptera account.
What columns should my CSV have?
At minimum a street address, city, state/region, and ZIP/postal code. A location name and country column are recommended. The tool auto-detects these columns from your headers and lets you remap anything it gets wrong.
How big a file can I check?
Because everything runs locally, you can check large exports — up to 50,000 rows. The on-screen preview shows the first 25 rows, while the readiness stats are calculated across every row in the file.
What happens after I sign up?
When you create a Maptera account you upload this same CSV, map your columns once, and every row is geocoded to latitude/longitude automatically. Your locations then appear on an interactive, embeddable store-locator map and SEO location pages within minutes.
Ready to help customers find your stores?
Get started today with our 14-day free trial. No credit card required.