#autocomplete api

[scrapingdog]

Discover how to streamline your content creation process with ScrapingDog’s Autocomplete API. This guide walks you through automating content brief generation by scraping valuable search data from autocomplete suggestions. Perfect for marketers, content creators, and SEO professionals looking to save time and enhance their workflow. Learn how to use powerful APIs to get relevant content ideas and build your content strategy efficiently.

[govindhtech]

Use The Azure Maps API To Enable Location Analytics

Azure Maps API documentation

Imagine discovering a wealth of knowledge hidden inside your current data sets that transforms the way you perceive the real world. Location analytics makes that possible. About 80% of enterprise data now contains “location data,” which is any data that has a geographic component. Data is generated from a variety of sources, including credit card transactions, Internet of Things (IoT) devices, linked cars, GPS units, and consumer databases. The science of adding and evaluating layers of location data to your current corporate data in order to extract novel insights is known as location analytics.

Many of the experiences you have on a daily basis are made possible by organisations using location analytics. For example, when you book a hotel in another country, the pricing is frequently displayed to you immediately in your currency. Hotel firms use location services in the background to map hotel locations and translate your IP address to your country. This makes it easier for them to give you the information you need without any hassle, improving your online booking experience.

Businesses from various sectors using Azure Maps APIs

Businesses all around the world are using location data to build mobile and online applications and experiences using Microsoft Azure Maps in order to solve important problems, obtain novel insights, and enhance their operations. With the help of Azure Maps’ portfolio of location services, developers and businesses can create scalable, map-based experiences.

Services accessible via Azure Maps APIs open up a multitude of use cases in many industries. Here is a brief summary of some of our services and some examples of their applications:

With data enrichment services, you may augment your existing data with additional information. Reverse geocoding is the process of converting coordinates into addresses and physical addresses into coordinates using the Geocoding service. Users can avoid paying additional fees and reusing the service repeatedly by using the Azure Maps Geocoding API to store the geocoded addresses for as long as they have an active Azure account. Addresses can be transformed and then used for additional analysis by visualising them on a map with the Get Map Tiles API service.

The healthcare sector is one of the most common uses for these location services. Here, organisations utilise the geocoding API to turn patient addresses into coordinates, and then utilise the Map Tiles service to see the locations of patients on a map and identify the closest medical facilities. In order to shorten emergency response times, some ambulance operators are also using location analytics to strategically position ambulances at “hot spot” locations. Because Azure Maps is based on Microsoft Azure and complies fully with the Health Insurance Portability and Accountability Act (HIPAA), healthcare organisations may feel secure while handling extremely private and sensitive patient data.

The time or distance needed to get from one place to another can be determined using routing services. The logistics sector is one of the most well-known use cases for routing, as companies utilise routing APIs to design the most effective vehicle routes for delivery of goods. Routes that are optimised help firms save money and time by promoting operational efficiency.

Azure and Nvidia recently agreed to leverage Nvidia cuOpt for multi-itinerary optimisation. Large logistics organisations frequently work with hundreds of drivers and drop locations; in order to select the most efficient routes, they must build a matrix of potential routes. It now takes only a few seconds instead of several minutes to generate and analyse the route matrix thanks to Nvidia’s cuOpt, a cutting-edge GPU-accelerated engine.

Temperature, air quality, storm information, and historical, normal, and real data are all provided by weather data services for any latitude and longitude. Additionally, the weather service offers useful information for modelling and prediction based on current and expected data, allowing for the creation of weather-informed applications.

Utilising historical and present weather data to forecast weather conditions is a common use case in the retail sector. They can use this information to organise their inventory and set prices and make educated judgements about sales and operations. Retailers may improve the efficacy of their marketing campaigns overall by using weather data to generate more focused advertisements and promotions.

Here Geocoding & search API

Map with assurance and accuracy

With Azure’s Geocoding API, you can look up and convert any address from a street intersection to a city or state into latitude and longitude and vice versa.

Strong global mapping

With the help of the robust geocoding and reverse geocoding features provided by Azure Maps APIs, you can track property, location, and regional boundaries and give your application a competitive advantage.

Address Reverse

Address Reverse Convert a GPS feed of coordinates into a street address or area boundary that is comprehensible to humans.

Polygon Search

You can also obtain polygon data of an area outline for a certain geographic region, like a city or region, from the Geocoding API.

Fuzzy Search

To find the coordinates of an address, point of interest, or location, do a fuzzy search for iterations of these items.

Batch Geocoding API

Make a single call to the API to send many batches of queries. For lightweight batch queries, this is perfect.

Global Location Intelligence

You can get unparalleled global geographic mapping with Azure Maps. Observe Azure geocoder’s flawless platform integration and outstanding worldwide coverage. Applications ranging from asset tracking, logistics, and mapping to optimised service delivery depend on the Azure Maps Geocoding API.

Reverse Geocoding API

Reverse geocoding is a feature of the API that lets you enter coordinates and have them translated into a street address, city location, or even a border.

Azure Maps Search API

In order to provide user services in your application, you can query the database for addresses, nearby points of interest, and other geographical information by combining geocoding with other Search APIs.

Fuzzy Search

The most ambiguous inputs, such as a mix of addresses or POI tokens, can be handled via the geocoding API. Additionally, a search radius or set of locations can be used to weight or completely confine the API.

Autocomplete

The geocoder is fairly forgiving of mistakes and partially completed addresses. If you misspell something, the API will provide you with the best contextual match for your search, which you may use to get the coordinates of the misspelt word.

Batch Geocoding API

You can use the Geocoding Batch API to batch query the geocoder up to 100 times with a single API call. This facilitates the simultaneous conversion of multiple addresses into geographic coordinates.

Read more on govindhtech.com

[accountaddressapi]

Address Autocomplete API Free

Address autocomplete api free is a feature that lets users complete their address in an online form with suggested results as they type. It reduces typos & incomplete addresses at the point of entry, boosting user experience & conversion rates. It also helps you gather accurate data, even if your users aren’t always careful when typing in their addresses.

A reliable address autocomplete api is easy to integrate into your website, CRM or digital infrastructure and offers a range of options for lookups, verifications & searches. You can also filter results and add biases to narrow down the search. For example, you can search for a specific state or even just a zip code.

Ensure your autocomplete API works with multiple formats and languages so that you can capture accurate addresses from customers from around the world. A high-quality solution should automatically standardize and parse all addresses to be in accordance with local postal authority standards. This helps you save on expensive shipping delays, warnings in your billing system or incorrect recommendations from your store locator feature.

Some providers such as Algolia use crowdsourced data to predict addresses in real-time, which doesn’t guarantee high accuracy. They also lack support for secondary unit numbers, which is important when delivering goods to customers who live in apartments, for instance. This leads to frustration for the customer as well as unnecessary costs for businesses trying to deliver goods to them. A more accurate address autocomplete api can prevent this from happening.

SITES WE SUPPORT

Account Address Api – Blogger

[addressapicheckers]

How to Use a Rural Address Checker

A Rural Address is more than just a way to identify your home and property, it is also your 911 address. Your 911 address is used by E-911 dispatchers when calling for emergency assistance and also by line locators, utility companies, delivery drivers, etc. It is the responsibility of each property owner and occupant to manually post their official assigned physical address number on their property, as well as to maintain them. It is recommended that the sign be mounted perpendicular to the road and located out of the legal road right of way (usually 33 feet). Signs should be clearly visible, so please remove any brush, bushes or trees that may obstruct their visibility.

To use the rural address checker, enter a local street or ZIP code and click on the map. The address is checked against the rural classification report at the marker location, so it is important to get the correct street or ZIP code and click on a spot that's near the exact location you want to check.

Am I Rural uses Bing's reverse geocoding web service to find addresses in the area around your selected location. The results can vary slightly depending on the census tract, so if your result isn't quite what you were expecting try selecting a different location in the same census tract or moving your marker just a bit. You can also select a different year to see how the results change.

SITES WE SUPPORT

Mail Checks Service – Bloggger

[lookupmailapis]

USPS Address Autocomplete API

USPS address autocomplete api is a feature that allows users to enter their addresses with a single keystroke. It has numerous benefits for businesses, such as improving customer experience and reducing operational costs. However, it’s important to note that not all autocomplete and address validation solutions are created equal. Choosing the right one can help you prevent costly mistakes and ensure that the data you collect is accurate and up to date.

USPS’s address validation is a good option for businesses looking to automate a number of processes that require addresses such as billing, shipping and checkout forms. It’s a simple, free solution that’s easy to integrate into web applications. However, it does have some limitations such as inconsistent uptime and limited documentation. Moreover, it can only validate one address at a time.

If you’re looking for a more reliable solution, you should consider choosing an address verification API. This solution is widely used by businesses, such as financial and healthcare providers, to validate addresses and verify customer/user identity. It can also be integrated into existing tools, CRM and digital infrastructure. It supports automated standardization and parsing of addresses, identifies and corrects common errors, and verifies that the entered address is deliverable.

PostGrid’s autocomplete address verification is based on the official postal address database of USPS, ensuring superior data quality from the start. It can identify a wide range of address components, including street names, town weights, and city tags. This enables you to sort results by relevance and improve search accuracy. The service is also certified by CASS and SERP by USPS to make sure that the data it provides is correct.

SITES WE SUPPORT

Lookup Mail Apis – Blogger

[apimailautomation]

Google Address Autocomplete API Example

Address autocomplete is the process of suggesting standardized addresses while a user types in an address field. Many of the major address autocomplete providers rely on crowdsourced contributions from untrained volunteers to add residential and business addresses. This can lead to inconsistent data and lower accuracy versus other more rigorously validated databases.

Another issue is that these tools often do not verify that the addresses they suggest are in a standardized format. This can be an issue when you are shipping goods or providing services to customers that have a unique address format. A PO Box is a good example. There are dozens of different ways that a PO Box can be written and the data from most address autocomplete tools does not verify whether or not the PO Box is in a standardized format.

The simplest and most effective solution is to use an API that returns well-formatted addresses that include separate address components such as street, house number, postcode (or zipcode), city, state and country as well as latitude and longitude coordinates. The Smarty US Autocomplete Pro API does this and more. It also has a geolocation feature that can serve suggestions based on the actual location of the user. This saves time and reduces the chance of making errors when entering an address.

To enable this functionality for your Gravity Forms, generate a Google API key, then visit the Perks settings in the Address field and check “Google Places Autocomplete”. You can also restrict countries searched as well as filter results by business or residential addresses.

SITES WE SUPPORT

Api Mail Automation – Blogger

[mailapidirect]

USPS Address Autocomplete API

A USPS address autocomplete api is a valuable tool to integrate into your online forms. It will help your users find and complete their addresses faster, even if they make typos or have unfamiliar formatting. But it is important to choose a solution that is compatible with your business needs and can scale for high volumes. Here are a few features to look for:

The best USPS address autocomplete api will validate the accuracy of the addresses you receive and correct them as needed. They also provide supplemental information, such as town weights to improve search results sorting and city tags to natively incorporate major cities into searches. Lastly, the most effective solutions will offer full Unicode support and be optimized for the local language of your users.

An address autocomplete api can significantly improve the quality of the addresses you collect, which in turn will decrease your operational costs and increase user experience. Incorrect shipping addresses, for example, can cause delivery delays, warnings in billing systems, and errors in a store locator feature.

In order to implement an address autocomplete api, you will need an XML/web services programmer to code and create a custom application. You will also need a USPS API key, which can be obtained in a few easy steps. This will allow you to send a request for address information through XMLHttpRequest objects to the USPS API server. Then you will need to parse the XML response and place the data into an HTML form.

SITES WE SUPPORT

Mail Api Direct – BLogSPot

[addressletterapi]

Google Address Autocomplete API Example

Address Autocomplete is a feature that automatically suggests street addresses as users type in an address form. This helps reduce keystrokes & typos at the point of entry and improves user experience, address reliability, & conversion rates.

The best address API providers deliver accurate results, support multiple languages & characters, and can provide prediction data for both postal & non-postal addresses. They also make it easy to set up bounds or a map viewport to bias the search results for a given location. You may also wish to limit address searches to particular countries if you only offer your services in a limited number of locations.

One of the most important things to look for when choosing an address autocomplete api example is whether the provider completes the Secondary Address Unit Designators (Apartment numbers). Some tools do not, which can be frustrating for your customers who are entering apartment addresses. Also, some tools use untrained volunteers to add addresses to their database and the accuracy can be inconsistent.

Smarty offers a powerful Google-powered Address Autocomplete for Gravity Forms that can provide high quality, accurate predictions in the US, Canada, and other international locations. Simply supply an API key and check a setting to enable it for any address field in your forms. You can also limit the countries to which you want address suggestions to be returned from the Settings page. Then, map each address part to a control on the UX Component so that when the user selects an option in the suggestion list, the mapped control will be updated with the appropriate address.

SITES WE SUPPORT

Address Letter API – BlogSPot

[kaiasky]

im trying one of those copilot things (tabnine) for a personal project bc yknow. i guess.. i remember this reddit post about a brilliant engineer and draftswoman who couldn't learn to use a mouse and so never picked up CAD and then got let go by her company when the company went fully digital. very sad and i think about it sometimes. anyways.

the point is. im trying an ai tool. and mostly it's not that great, but. When writing documentation, its very funny to always have an autocomplete of the next word.

Because MY stupid brain will go blank and type a nonsense word, and then ITS stupid matrices will jump in with:

its perfect. its cybernetics. we are of one essence and one mind and that mind thinks thoughts like gamer API documentation

[scrapingdog]

Learn how to scrape and summarize research papers using Python and OpenAI's powerful language model. A step-by-step automation guide for data enthusiasts and researchers.

[bharatpatel1061]

Static Typing in Dynamic Languages: A Modern Safety Net

Content: Traditionally, dynamic languages like Python and JavaScript traded compile-time type safety for speed and flexibility. But today, optional static typing—via tools like TypeScript for JavaScript or Python’s typing module—brings the best of both worlds.

Static types improve code readability, tooling (like autocompletion), and catch potential errors early. They also make refactoring safer and large-scale collaboration easier.

TypeScript’s popularity showcases how adding types to JavaScript empowers developers to manage growing codebases with greater confidence. Similarly, using Python’s type hints with tools like mypy can improve code robustness without sacrificing Python’s simplicity.

For teams prioritizing long-term maintainability, adopting static typing early pays dividends. Organizations, including Software Development, advocate for using typing disciplines to future-proof projects without overcomplicating development.

Static typing is not about perfection; it’s about increasing predictability and easing future changes.

Start by adding types to critical parts of your codebase—public APIs, core data models, and utility libraries—before expanding to the entire project.

[jcmarchi]

7 top free AI coding tools - AI News

New Post has been published on https://thedigitalinsider.com/7-top-free-ai-coding-tools-ai-news/

7 top free AI coding tools - AI News

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AI coding tools leverage machine learning, deep learning, and natural language processing to assist developers in writing and optimising code. These tools are trained on vast code repositories and datasets, allowing them to analyse programming patterns and provide intelligent recommendations.

Types of AI coding tools

AI-powered coding tools can be categorised into several types based on their functionality:

AI code completion tools — Provide real-time suggestions and auto-complete lines of code.

AI code generators — Generate full scripts, functions, or even applications based on natural language prompts.

AI debugging and error detection tools — Identify syntax errors, logical issues, and security vulnerabilities.

AI test automation tools — Create and execute test cases with minimal human intervention.

AI code optimisation Tools — Improve performance by suggesting better coding practices.

AI security and compliance tools — Analyse code for vulnerabilities and help developers follow security best practices.

AI documentation generators — Automate inline comments, API documentation, and explanations.

By incorporating these tools into their workflow, developers can write cleaner, more efficient code and reduce the time spent on repetitive tasks.

Best free AI coding tools for 2025

Below, we explore seven of the best free AI coding tools available today and provide an analysis of their features, benefits, and how they can enhance the software development process.

1. Qodo

Qodo is an AI-powered coding assistant designed to help developers generate, optimise, and debug code easily. It offers real-time code suggestions, detects syntax errors, and improves the overall quality of the codebase.

Key features:

Intelligent code completion: Predicts and suggests relevant code snippets.

AI-powered debugging: Identifies bugs and logical errors in real-time.

Code optimisation: Suggests performance improvements and cleaner code structures.

Multi-language support: Works with multiple programming languages.

Benefits:

Qodo streamlines software development by reducing manual effort in writing and reviewing code. It is particularly beneficial for new developers who need guidance on best coding practices and experienced programmers looking to improve efficiency.

Use cases:

Writing clean and optimised code.

Debugging and improving code quality.

Learning new programming concepts with AI-driven recommendations.

2. Kite

Kite was a popular AI-powered autocomplete tool that provided developers with real-time code suggestions and documentation assistance. Although it has been discontinued, it significantly influenced modern AI coding assistants.

Key features:

Python-focused autocompletion: Provided predictive code completions.

Inline documentation: Showed documentation snippets inside the IDE.

Machine learning-based suggestions: Improved over time with usage.

Benefits:

Despite its discontinuation, Kite demonstrated the power of AI in streamlining software development, influencing newer AI-powered coding tools available today.

Use cases:

Assisted Python developers with intelligent code suggestions.

Provided real-time documentation to reduce context switching.

3. Amazon CodeWhisperer

Amazon CodeWhisperer is a free AI-powered coding assistant that provides intelligent code completions and recommendations based on natural language input. It integrates seamlessly with AWS services, making it an excellent tool for cloud-based development.

Key features:

Real-time code suggestions: Predicts and generates relevant code snippets.

AWS cloud integration: Works with AWS Lambda, EC2, and other services.

Multi-language support: Supports Python, JavaScript, and more.

Benefits:

Amazon CodeWhisperer boosts productivity by offering context-aware code recommendations, making it ideal for developers working with cloud-based applications.

Use cases:

Writing serverless applications on AWS.

Generating API integrations with minimal manual coding.

Reducing development time for cloud-based applications.

4. Ponicode

Ponicode is an AI-powered unit testing and code quality analysis tool that ensures high test coverage and optimised code.

Key features:

AI-generated unit tests: Automates test case creation.

Code quality analysis: Detects inefficiencies in the code.

Multi-language support: Works with JavaScript, Python, and more.

Benefits:

Ponicode helps developers write reliable, maintainable code by automating testing and quality checks, making it an excellent tool for teams prioritising test-driven development (TDD).

Use cases:

Ensuring code coverage with AI-generated test cases.

Automating software testing processes.

5. IntelliCode

Microsoft IntelliCode enhances coding productivity by offering AI-powered autocomplete, refactoring suggestions, and best coding practices based on thousands of open-source projects.

Key features:

Context-aware code recommendations: Learns from open-source projects.

Automated code refactoring: Suggests optimised coding solutions.

Supports multiple languages: Works with Python, Java, C++, and more.

Benefits:

IntelliCode enables developers to write maintainable code while minimising syntax errors and reducing repetitive coding tasks.

Use cases:

Improving team productivity by enforcing best coding practices.

Optimising legacy codebases.

6. YOGI Bot

YOGI Bot is an AI-powered chatbot that assists developers with debugging, code explanations, and best practice recommendations.

Key features:

AI-driven code assistance: Provides real-time support for debugging and explanations.

Multi-language support: Works across various programming languages.

Benefits:

YOGI Bot is useful for both new and experienced developers who need immediate coding assistance and explanations.

Use cases:

Learning programming concepts interactively.

Troubleshooting coding errors with AI-driven assistance.

7. CodeT5

CodeT5, developed by Salesforce Research, is an AI-powered code generation and translation model that helps developers write high-quality code efficiently.

Key features:

AI-generated code snippets: Produces entire code blocks.

Code translation and optimisation: Helps improve existing code.

Benefits:

CodeT5 streamlines development by reducing manual effort and improving code quality.

Use cases:

Automating coding tasks for web and software development.

Enhancing productivity with AI-powered suggestions.

Why use AI coding tools?

AI coding tools are gaining popularity due to their ability to streamline development processes, reduce coding errors, and enhance productivity. Here’s why developers should consider integrating AI into their workflow:

Increased efficiency

AI-powered tools speed up coding by suggesting relevant code snippets, autocompleting functions, and automating repetitive tasks. This allows developers to focus on solving complex problems rather than spending time on boilerplate code.

Improved code quality

AI-driven code review tools analyse code for potential errors, security vulnerabilities, and performance issues, ensuring high-quality and optimised code.

Reduced debugging time

Manually finding and fixing bugs can be time-consuming. AI debugging tools help detect issues in real-time and provide potential fixes, reducing time spent on troubleshooting.

Enhanced collaboration

AI-powered tools facilitate team collaboration by providing code suggestions, and documentation, making it easier for teams to work together efficiently.

Automated testing and deployment

AI-driven test automation ensures that applications are tested before deployment, reducing manual effort and potentially speeding up the software release cycle.

Better security

Security-focused AI tools can help identify vulnerabilities and suggest best practices, helping developers write more secure code that complies with industry standards.

Accessibility for beginners

AI coding assistants help beginners learn programming by providing real-time feedback, suggesting improvements, and simplifying complex coding concepts.

7 top free AI coding tools

AI coding tools leverage machine learning, deep learning, and natural language processing to assist developers in writing and optimising code. These tools are trained on vast code repositories and datasets, allowing them to analyse programming patterns and provide intelligent recommendations.

Types of AI coding tools

AI-powered coding tools can be categorised into several types based on their functionality:

AI code completion tools — Provide real-time suggestions and auto-complete lines of code.

AI code generators — Generate full scripts, functions, or even applications based on natural language prompts.

AI debugging and error detection tools — Identify syntax errors, logical issues, and security vulnerabilities.

AI test automation tools — Create and execute test cases with minimal human intervention.

AI code optimisation Tools — Improve performance by suggesting better coding practices.

AI security and compliance tools — Analyse code for vulnerabilities and help developers follow security best practices.

AI documentation generators — Automate inline comments, API documentation, and explanations.

By incorporating these tools into their workflow, developers can write cleaner, more efficient code and reduce the time spent on repetitive tasks.

(Image source: Unsplash)

Tags: artificial intelligence, coding

[triviallytrue]

Honest question, how are you so consistently optimistic about technological changes in recent years, especially in AI and its connection to creative fields? I admire your writing and respect your opinion, but I just do not see anything to be optimistic about, as you've probably noticed.

I wouldn't call myself an optimist, and I would say some of the reason I'm not a pessimist is because I don't really buy the hype.

There's a lot of people who are doing the math, going "LLMs can produce human-looking output in this field, so they're probably very close to consistently producing human-quality output as well." If this is true, it will probably be pretty bad for human society, and your pessimism will be fully justified.

And for sure, this could be true! LLMs have blown past where I would naively have assumed they would be at this point in time. But what you're scared of is LLMs replacing writers, and I'm just not that worried about that at the moment. Maybe I should be, maybe GPT-6 will be able to write coherent novels. But it feels a bit too early to be so pessimistic. I need to see an effective application first.

My experience with LLMs in practice is as a better form of code autocomplete, and that's very nice to have - last week I saved maybe half an hour using a LLM to write a bunch of boilerplate functions that I would have needed to do by hand.

But I'm not scared of them taking my job - around 5% of autocompletions involved some form of basic hallucination (usually a misused API). It's possible to get it to write more complex functions, but only using a fair amount of prodding and prompting, usually sufficiently time consuming that I don't bother and just write the function myself.

They will undoubtedly get better, but for the forseeable future, anyone who tries to use them to replace humans will crash and burn. I expect the same is true of most forms of writing, especially longer form writing.

The people who are actually the most threatened have to be the visual artists. AI art looks pretty good and is already seeing some use cases. This sucks for people who make their living doing visual art. I think people will adapt and the need for human artists will continue, but it's going to take a bite out of their market share, there's no doubt about it.

We're on the edge of a precipice and we don't know if it'll be a 3ft drop or a 300ft drop, but I don't see the point of freaking out about it until we see more actual applications, instead of just hype.

[govindhtech]

New APIs For Amazon Location Service Routes, Places & Maps

Introducing new Routes, Places, and Maps APIs for Amazon Location Service

The Routes, Places, and Maps features are expanded and improved by the 17 new and improved APIs that Amazon Location Service announced today, giving developers a more unified and efficient experience. These improvements increase the accessibility and utility of Amazon Location Service for a variety of applications by bringing new capabilities and providing a smooth migration process.

Advanced route optimization, GPS tracing, toll cost calculations, a range of map styles with static and dynamic rendering options, proximity-based search, predictive recommendations, and rich, detailed information on points of interest are all now available.

At Amazon, user feedback informs the great majority of its roadmaps. When working with location-based data, several customers developing applications with Amazon Location Service have expressed that they require more specific information, like contact details and business hours, as well as specially designed APIs. Developers have indicated a desire for further features, like comprehensive route planning, proximity-based searches, more place details, and static map graphics, even if the present API set has given many users useful tools. These needs are met by these new APIs, which offer a more thorough and unconventional location solution.

Improved and new capabilities

In direct response to your feedback, today’s launch provides seven completely new APIs and ten revised APIs. Specific improvements are made to each service Maps, Places, and Routes to accommodate a wider variety of use cases.

Routes

Advanced route planning and modification features are now available through the Amazon Location Routes API, enabling customers to:

Determine service regions within a certain travel time or distance by calculating isolines.

OptimizeWaypoints helps save trip time or distance by identifying the most effective waypoint sequence.

To offer accurate cost estimates for routes involving toll roads, compute toll costs.

SnapToRoads allows GPS traces to be precisely matched by snapping sites to the road network.

You may create more dynamic and accurate route experiences for your consumers with these features. For instance, a logistics firm may minimize delivery travel expenses by optimizing driver routes in real-time while accounting for real-time traffic.

Maps

More specially designed map types created by talented cartographers are now available in the revised Amazon Location Maps API. These map styles provide expert designs that remove the need for custom map construction and speed up time to market. Furthermore, developers can incorporate static maps into applications using the Static Map Image feature, which eliminates the requirement for constant data streaming and boosts performance in use scenarios when interactivity is not required.

Among the Maps API’s primary features are:

GetStyleDescriptor, which returns details about the style; GetTile, which downloads a tile from a tileset with a given X, Y, and Z axis values

GetStaticMap allows non-interactive maps to be rendered for reporting or display.

Places

In response to requests for more granularity in location data, the Amazon Location Places API has been improved to enable more thorough search capabilities. Among the new capabilities are:

For improved user experiences, SearchNearby and Autocomplete allow predictive text features and support proximity-based queries.

Improved company information including sections for contact details, business hours, and extra features for sites of interest

Applications like food delivery services or shop apps, where customers require comprehensive information about nearby locations, will particularly benefit from these functionalities. Consider a scenario in which a consumer launches a food delivery app, uses SearchNearby to find restaurants in their area, and downloads restaurant information, including contact details and business hours, to verify availability. The application utilizes OptimizeWaypoints to recommend the most effective route for pickups and deliveries after a driver has been assigned several delivery orders. SnaptoRoads improves the customer’s real-time tracking experience by providing a detailed depiction of the driver’s location as they follow the route.

The operation of enhanced location service

It is simple to call the API. You have three options: the basic REST API, one of AWS SDKs, or the AWS Command Line Interface (AWS CLI). However, some further preparation is needed to display the data on a map in a web or mobile application. Despite having extensive documentation, the method is too intricate to go into detail here.

There are two methods for authenticating API requests with Amazon Location Service: using API keys or AWS API authentication (AWS Sigv4 authentication). For developers of mobile applications, API keys may be more practical in situations where end users are not verified or when integrating with Amazon Cognito is not practical. For front-end apps, this is the suggested authentication technique.

You utilize a combination of the AWS CLI, cURL, and a graphical REST API client to show the flexibility of the APIs and how simple it is to integrate them inside your apps.

Beginning

Amazon Location Service provides a more complete range of mapping and location data for your business needs with these updated and new APIs. These will improve the scalability and agility of developers, which will help you speed up your development lifecycle.

Explore the most recent version of the Amazon Location Service Developer Guide to get started, then start incorporating these features right now. You can also test the APIs using your preferred AWS SDKs to see how they can improve your apps.

Amazon location service pricing

Learn about the reasonable prices for maps, locations, routing, tracking, and geofencing offered by Amazon Location Service. Pay only for what you use; there are no up-front fees.

Pricing

You pay for the queries your application makes to the service listed in the table below after using the Amazon Location Service for free.

Volume discounts are available for customers with a monthly usage exceeding $5,000.

Price may vary based on request parameters, please refer to the Pricing section in the developer guide.

Amazon Location Service free trail

During the first three months of using Amazon Location Service, you can test it out with the free trial. You won’t be charged for monthly consumption during that period up to the amounts specified for the APIs indicated in the table below. You will be charged for the extra usage in accordance with the paid tier prices if your usage surpasses the free trial limits or utilizes Advanced, Premium, or Stored services.

Read more on Govindhtech.com

[addressapicheckers]

USPS Address Checker - Verify Any Address Online

Getting your mail and packages delivered accurately and quickly requires accurate addresses. That’s why usps address checker is a good tool to use, and it’s something you should do on an ongoing basis. But you don’t have to wait for a list of addresses from your clients or customers; you can verify any mailing address, anytime, using an online usps address search tool such as Searchbug.

A usps lookup uses official USPS records to verify and provide an accurate, complete, and deliverable postal address. This means you won’t get results with missing information, misspellings, or incorrect formatting. It also ensures that the nine-digit zip code is correct, and that there are no extra or hyphenated digits.

An important feature of any usps address search is Delivery Point Validation (DPV). This process checks against the official database and marks it valid or invalid. It also makes corrections to the city name, address street suffix, and zip code, and identifies whether the address is residential or commercial.

Another reason why an address may appear to be invalid is that it has changed. This can happen when a building is new and the occupants haven’t registered their address with the post office, or it may be that someone moved and did not file a change of address form.

Fortunately, you can reduce the cost of returned or undeliverable mail by using an address verification service like Searchbug. With a variety of subscription plans to suit any business size, you can use a simple web tool or API to verify the accuracy of your mailing lists and ensure that your mail gets to your recipients.

SITES WE SUPPORT

Mail Checks Service – Bloggger

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AusPost Raw Address File

In today's data-driven world, address accuracy is critical for logistics, compliance, and customer satisfaction. The Australia Post Raw Address File (RAF) is one of the most reliable tools for businesses operating in Australia. This guide breaks down everything you need to know about the AusPost RAF, its use cases, structure, licensing, and integration tips to help streamline operations and enhance data accuracy.

What Is the AusPost Raw Address File?

The AusPost Raw Address File is a comprehensive, structured dataset maintained by Australia Post. It contains validated and standardized address data for every deliverable address across the country. This includes residential, commercial, and PO Box addresses.

Why Is the AusPost RAF Important?

Businesses and government agencies rely on the RAF to:

Validate customer address entries in real-time

Improve logistics and last-mile delivery

Enhance customer service accuracy

Reduce returned mail and failed deliveries

Comply with regulatory and insurance requirements

Key Features of the Raw Address File

Over 13 million address points from across Australia

Regular updates to reflect new developments, removals, or corrections

Address metadata like locality, postcode, state, and delivery point identifier (DPID)

Compatible with Australia Post’s sorting and barcoding systems

Structure of the AusPost RAF

The AusPost Address File follows a structured format, typically provided as a flat file (CSV or fixed-width text) with fields such as:

DPID (Delivery Point Identifier)

Thoroughfare Number and Name

Locality/Suburb

State

Postcode

Address Type Indicator

Street Suffixes and Prefixes

Delivery Address Indicator (for PO Boxes, Locked Bags, etc.)

Example entry:

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DPID | Street Number | Street Name | Street Type | Suburb | State | Postcode 12345678 | 12 | Smith | St | Melbourne | VIC | 3000

How to Access the Raw Address File

The RAF is available for licensed users only. To access:

Visit the Australia Post Licensing Portal

Apply for the Australia Post Data License

Choose a subscription based on volume, access needs, and update frequency

Download via secure FTP or API (if applicable)

Use Cases of AusPost RAF

Ecommerce Platforms: For accurate checkout address entry and fulfillment

CRM Systems: Cleansing and standardizing customer address records

Direct Mail Campaigns: Improved targeting and delivery success

Insurance & Utilities: Verifying customer residence and geolocation

Government: Electoral roll management, census, and service delivery

Benefits of Using the AusPost RAF

BenefitDescription📦 Improved DeliveryReduce missed deliveries by up to 98%🛡️ Regulatory ComplianceMeet standards for customer data accuracy🧹 Data HygieneClean existing databases and maintain long-term accuracy🚀 SpeedAutocomplete & autofill capabilities speed up checkout🔄 Seamless IntegrationEasy to embed into websites, CRMs, or ERPs via APIs

Licensing and Compliance

License Types: Corporate, Developer, Distributor

Data Protection: Must comply with Australia’s Privacy Act 1988

Usage Limits: Restricted to agreed use-case; redistribution prohibited without consent

How to Integrate AusPost RAF Into Your System

Choose a Suitable Format – CSV for spreadsheets or API for web apps

Normalize Existing Data – Map current address fields to RAF structure

Use an Address Autocomplete API – Such as Australia Post’s Address Search API

Validate Inputs in Real-Time – During form entries or customer onboarding

Maintain Update Schedule – Incorporate monthly or quarterly data refresh

Best Practices for Implementation

Use drop-downs for state and postcode to reduce input errors

Implement address field suggestions as users type

Validate against DPID to match AusPost delivery records

Keep logs of mismatches to improve future entries

Common Issues and Solutions

ProblemSolutionMissing suburb or postcodeValidate with postcode-locality cross-checkAbbreviated street namesStandardize using AusPost’s abbreviation guidelinesDuplicate recordsUse DPID as a unique identifierNon-standard PO BoxesSeparate delivery type from street address in UI

Who Should Use the RAF?

Logistics companies

Real estate and utilities

Financial institutions

Marketing firms

Government departments

Alternatives to the Raw Address File

While the RAF is the most authoritative source, alternatives include:

G-NAF (Geocoded National Address File)

Commercial address validation APIs like Loqate or Melissa

Third-party CRM plugins with built-in AusPost validation

Conclusion

The AusPost Raw Address File is a powerful tool for improving delivery accuracy, streamlining operations, and maintaining data integrity. Whether you're a growing business or a government agency, using the RAF can significantly improve your operational efficiency.

SITES WE SUPPORT

Forward AusPost With Address – ​​​Wix