OpenCage Documentation llms.txt · AI Docs Browser · mdream

[llms.txt Tools](https://mdream.dev/llms-txt/opencage-documentation/llms-txt)

# OpenCage Documentation llms.txt

opencagedata.com/llms.txt

[Raw llms.txt](https://opencagedata.com/llms.txt) [Raw llms-full.txt](https://opencagedata.com/llms-full.txt)

Copy Markdown [](https://opencagedata.com/llms.txt)

llms.txt

Pricing

OpenCage pricing

General background

About OpenCage

Frequently Asked Questions

Data Protection / GDPR Compliance

Terms and Conditions

Security Policy

Price comparison with Google Maps geocoding

Geocoding Tutorials

Bruno

Clay

Command Line Interface (CLI)

Excel

Google Docs

Java

Javascript

jq

jQuery

Insomnia

Leaflet: Geocoding

MATLAB

MCP

Node.js

Perl

PHP

Postman

PowerShell

Python

QGIS

R
Ruby

Rust

curl, wget, httpie

Stata

Spreadsheet / CSV upload

Geocoding SDKs

AI Agent Skills

AngularJS

AWS Lambda

bash

C
C++

Clojure

Cloudflare Workers

ColdFusion (CFML)

Command Line Interface (CLI)

Dart

Datasette

Elixir

Erlang

GatsbyJS

Go

Google Apps Script

Haskell

iOS / Swift

Java

Julia

Kotlin / Android

Leaflet Maps

Lua

MATLAB

MCP

.NET

Neo4j

Node.js

OCaml

OpenLayers

Perl

PHP

PostgreSQL

PowerShell

Python

QGIS

R
Racket

Raku

ReactJS

React Native

Ruby

Rust

Scala

SQLite

Stata

Svelte

Typescript

Vue

Zig

Geocoding Guides

Geocoding vs Geosearch

What is Geosearch?

Why is geosearch needed?

Consumer expectations for location search

Geosearch: Technical Considerations

Comparing and testing geocoding services

Formatting your geocoding query

Speed up your geocoding

Geocoding large datasets

Geocoding accuracy

Using OpenCage together with other geocoders

Migrating from Google Maps

Migrating from Nominatim

Limit API results to a certain country or region

Geocoding and postal codes

Permanent location identifiers

Formatting Addresses

Formatting your spreadsheet

Putting results on a map

Browser Geolocation

IP Geolocation

Show an imprecise location

Writing an SDK or integration for the OpenCage Geocoding API

Convert image GPS coordinates into location information

Convert coordinates to country

Convert locations to NUTS codes

Convert locations to time zone

Determine the ISO codes for a location

Determine the county for an address

Get the information for a UN/LOCODE

Replacing your geocoding API key

Protect your API key

Comparison with other geocoding services

Google Maps geocoding

Mapbox geocoding

Self-hosting Nominatim

## What is OpenCage Documentation's llms.txt?

OpenCage Documentation publishes an `/llms.txt` file that provides AI systems with a structured index of its documentation. It follows the [llms.txt specification](https://llmstxt.org), organizing links to guides, API references, and tutorials under section headings so that LLMs like ChatGPT, Claude, and Gemini can quickly understand what OpenCage Documentation offers and where to find details.

Pass

Spec

6

Sections

121

Links

9.5 KB

Size

~2.4k

Tokens

Sections: Pricing · General background · Geocoding Tutorials · Geocoding SDKs · Geocoding Guides · Comparison with other geocoding services

## Add OpenCage Documentation Docs to Your AI Assistant

Select your tool to see how to add OpenCage Documentation's llms.txt as a documentation source.

Cursor

 Windsurf

 Claude Code

 ChatGPT

 Zed

 Copilot

1. 1

   Open any chat or composer panel
2. 2

   Type @Docs and select "Add new doc"
3. 3

   Paste the URL: https://opencagedata.com/llms.txt
4. 4

   Wait for the green dot (indexing complete)
5. 5

   Reference @Docs in chat when asking about OpenCage Documentation

Cursor crawls the URL and indexes all subpages. Add a trailing slash to index child pages too.

## Spec Compliance 3 notes

## Frequently Asked Questions

Where is OpenCage Documentation's llms.txt file?

OpenCage Documentation publishes its llms.txt at https://opencagedata.com/llms.txt. This file provides a structured, markdown-formatted index of OpenCage Documentation's documentation that AI systems can consume to understand the project's APIs, guides, and references.

How do I use OpenCage Documentation's llms.txt with AI coding assistants?

Copy the llms.txt content and paste it into your AI assistant (Cursor, Windsurf, Claude, ChatGPT) as context. This gives the AI an accurate map of OpenCage Documentation's documentation so it can provide better code suggestions and answers about OpenCage Documentation.

What does OpenCage Documentation's llms.txt contain?

OpenCage Documentation's llms.txt contains 6 sections and 121 documentation links in 9.5 KB (~2.4k tokens). Key sections include Pricing, General background, Geocoding Tutorials, Geocoding SDKs, Geocoding Guides, Comparison with other geocoding services.

How many tokens does OpenCage Documentation's llms.txt use?

The concise llms.txt index is approximately 2.4k tokens (9.5 KB). Most AI assistants can fit this within their context window. For the full expanded documentation, look for an llms-full.txt variant which embeds all content inline.

Can I generate an llms.txt for my own project?

Yes. Use the free llms.txt generator at mdream.dev/tools/llms-txt/generator to crawl your site and produce a spec-compliant llms.txt file. You can also validate existing files with the llms.txt validator.

## Browse More llms.txt Files

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[View all 99 projects ](https://mdream.dev/llms-txt/opencage-documentation/llms-txt)

## Related Tools

[<h3>llms.txt Generator</h3>Generate an llms.txt for your own project.](https://mdream.dev/llms-txt/opencage-documentation/tools/llms-txt/generator) [<h3>llms.txt Validator</h3>Validate your llms.txt against the official spec.](https://mdream.dev/llms-txt/opencage-documentation/tools/llms-txt/validator)

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