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Find places, addresses and points of interest for reliable, and self-optimizing geocoding and search.
UNL Geocoder discovers an address, POI, landmark or locality— even if the query is incomplete, partially incorrect or descriptive.
Decrease the total number of failed deliveries from incorrect addresses.
Decrease time spent in last-mile guesswork and improve ETA.
Enable quicker deliveries, fewer returns, and seamless experiences.
An additional layer of intelligence allows the handling of address variations and descriptive addresses.
Tap into spatial and semantic relationships between components to get highly reliable addresses and geocodes.
Derive higher coverage and accuracy through continuous training with address and location data.
Find the geo-coordinates and assigns a unique UNL geoID to a given address, POI, landmark, locality or administrative area.
Supports descriptive address geocoding for unstructured and incomplete addresses.
Leverage spatial and semantic relationships between address components (such as building numbers, street name, postal codes).
Leverage a single unique address reference (UNL geoID) for multiple variations of an address.
Designed for scaled operations with bulk geocoding support.
Convert geo-coordinates or UNL geoIDs into structured addresses and retrieve contextual location data.
Returns most detailed structured address for a given coordinates.
Retrieve a structured addresses and contextual location data for a given geo-coordinates or UNL geoID.
Supports UNL geoID as input instead of just coordinates.
UNL Search API provides a powerful unified interface that covers a variety of discovery scenarios ranging from text search, nearby categories and searching for places along a route.
Support structured, unstructured, free-text and descriptive address queries.
Support queries based on semantics and context (nearby, interest based, etc.).
Designed to work with customer data (BYOD) i.e. make VPM data searchable in real-time.
Semantically connect queries to deliver suggestions with autocomplete APIs.
Smart suggestions and Autocomplete eliminates human error during search and quickly retrieves location and POI data your users are looking for.
Eliminate human error and speed up search query for the user.
Provide automated suggestions during search entry.
Give users more contextual suggestions for places, addresses based on user location and intent.
Maintain a reliable and evergreen location database. Increase deliverable location accuracy.
UNL Geocoding API finds the geo-coordinates and assigns a unique UNL geoID to a given address, POI, landmark, locality or administrative area, even if the query is incomplete, partly incorrect or descriptive.
UNL geoIDs can be used as a permanent address identifiers, allowing to analyze and group multiple variations of an address into a single unique address references.
Supports descriptive address geocoding for unstructured and incomplete addresses
Leverage spatial and semantic relationships between address components (such as building numbers, street name, postal code, etc)
Designed for scaled operations with bulk geocoding support
Convert geo-coordinates or UNL geoIDs into structured addresses and retrieve contextual location data
Retrieve a structured addresses and contextual location data for a given geo-coordinates or UNL geoID
Leverage highly accurate and deliverable addresses with UNL’s Geocoding and Reverse Geocoding APIs
Accurately search places, addresses and point of interest data for maps, routing, and other micro-location services. UNL Search API provides a powerful unified interface that covers a variety of discovery scenarios ranging from text search, nearby categories and searching for places along a route.
Support structured, unstructured, free-text and descriptive address queries
Support queries based on semantics & context (nearby, interest based, etc.)
Returns a list of matched places in the order of relevance and match quality
Semantically connect queries to deliver suggestions with autocomplete APIs
Designed to work with customer data (BYOD) i.e. make VPM data searchable in real-time
Smart suggestions and Autocomplete eliminates human error during search and quickly retrieves location and POI data your users are looking for.
Eliminate human error
Simplify and speed up search query for the user
Provide automated suggestions during search entry
Give users more contextual suggestions for places, addresses based on user location and intent.
Includes location contest filters and language filters.
Maintain a reliable and evergreen location database. Increase deliverable location accuracy.
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