DataTools OptiSource System™

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When it comes to verifying addresses, the quality of your results depends on the quality of the reference sources used – and even though some come close, no single data source can give you complete address coverage. Our OptiSource System™ sources the best datasets available from multiple suppliers in one system to give you the very best, utmost accurate results.

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Quality datasets mean more accurate results

View our comprehensive range of datasets across the globe.

Frequently asked questions

We've got answers.
Definitely. Approximately 12.5 million address appear in both the PAF and GNAF datasets. The PAF contains almost 2.5 million additional addresses and the GNAF contains just over 2.7 million additional addresses, but these additional addresses differ due to reasons such as timing of notification, verification and type of address included. Between both the PAF and GNAF there is approximately 17.5 million addresses.
The primary purpose for the GNAF is to identify for mapping purposes where an address might be. As you’ll see from the examples below, even though the address found in the GNAF is close to the location you might expect the address to be, it’s often not an address that would be considered correct for deliveries which is a prerequisite for it to appear in the PAF.
About 80% of these addresses are delivery addresses that only Australia Post and StarTrack can deliver to. These include PO Boxes, GPO Boxes, Locked Bags and Private Bags addresses for letter delivery and Australia Post’s 24/7 Parcel Collection service deliveries. The remaining 20% include additional verified street addresses.
No. It does however make complete sense to use both sources to get the most comprehensive coverage of Australian addresses. The best way to do that is to verify against the PAF and GNAF datasets separately, prioritising the most up-to-date source. As PAF records are constantly verified for postal deliveries it’s a good idea to verify against the PAF first. If no match is found, then continue to verify against the GNAF.


Let’s use the example of 59 ROSEMONT ST S, PUNCHBOWL NSW 2196 discussed above. If you simply verified this address against the GNAF, or a merged PAF GNAF source the address would come back as correct, which isn’t quite right. It was correct in the past prior to it being merged with its neighbouring lot. If you verified it against the more up-to-date PAF first, the address would be updated to its current form of 59-61 ROSEMONT ST S, PUNCHBOWL NSW 2196, which is the correct address.

google autocomplete address validation what google isnt telling you 657aa0b9a684d

NEW: View our latest case study on Google Autocomplete Address Validation | What Google Isn’t Telling you.


4 Myths about Google Autocomplete Address Validation

You would be hard placed to find someone who hasn’t heard of them. They are a household name around the world and have even become part of our everyday language. I’m sure we’ve all said, “Hang on – I’ll just google it” for example. Whilst they are still the most popular internet search engine on the planet and have some amazing tools, recently they’ve been expanding into the address auto-complete market as a supplier for website forms, so we are often questioned as to why our solutions are better. When talking about the differences between Kleber and Google’s API we often hear about these common myths.



Myth 1. Google data is universal and complete

Because of the rate at which they update their data, Google has some obvious blind spots. Romley Road, Armstrong Creek near Geelong in Victoria is an example of an entire road that can’t be found using Google’s address search (correct at time of writing)

Romley Rd Armstrong

The worldwide coverage presented by Google maps doesn’t necessarily produce good quality addresses either. For example, 9 Hamilton Ave Surfers Paradise is the address for Q1 Tower on the Gold Coast – the tallest building in Australia. Google will find it, but only gives an address for the entire building. However, there are over 550 unique addresses within the building. How will the delivery company know which one of these addresses to leave the parcel with?

This problem is replicated across Australia and New Zealand with any office and apartment blocks. Simply finding the building address isn’t detailed enough for deliveries. Kleber uses address data direct from official address sources such as Australia Post, New Zealand Post, Canada Post, Royal Mail, etc. We publish updates and changes to our service every quarter to make sure you have the most up to date records available


Myth 2. Google validates addresses for delivery

Google maps is primarily a geolocation service, designed to plot places on their maps, not designed as an address validator. Ultimately, this means that Google is able to plot locations that are not valid, deliverable addresses. For example, Google maps will happily locate ‘2166 Hamilton Highway Lismore VIC 3325

2166 Hamilton Highway

If you take a quick look though you will quickly see that there are no buildings or infrastructure at all at this “address” so no mail would ever be delivered to it. However, without actually looking each address up individually – how would you know if the address presented is deliverable? Another example – Google “finds” the address 2 Pipeclay St Lawson ACT for us….

2 Pipeclay Street

but it also “finds” 3000 Pipeclay St Lawson ACT in the EXACT same location. Given the length of the small block – this is highly unlikely.

3000 Pipeclay Street

That is because Google tries to provide a relatively good estimation of where an address would be on a map. It cannot tell you what the address is, or more importantly – format it correctly. Kleber will only ever retrieve valid delivery addresses that are formatted correctly


Myth 3. Google is unique in offering auto-suggest results for addresses

Not true. There are many other providers of addressing services where you can begin typing and matching addresses are found. DataTools’ own address validation solutions have been providing this option since 2010 and we’ve been upgrading it constantly ever since. This functionality allows users to search on any part of an address and copes with misspellings and typos (like extra spaces or missing characters). The data returned is verified against delivery point data from official sources such as Australia Post, New Zealand Post, Canada Post, Royal Mail in the UK, etc.


Myth 4. It’s completely free

Depends on your usage and the type of application. It can be free if you have a public site and only need to verify low volumes of addresses. There is a Premium Plan for customers who require an SLA and who expect to process large volumes; each autocomplete API request consumes 0.1 credits. It’s also worth noting that you only get access to technical support when you’re a paying customer. Information correct at time of writing – it could all change. Also – just consider, as a large search engine that is constantly using ‘big data’ to serve up appropriate advertising to its users – what happens with all the information collected via your forms?

Basically, if an accurate, deliverable address is important to the efficiency of your processes then Google will not deliver the goods (excuse the pun).

Machine Learning (ML)
& Artificial Intelligence (AI)

The Human Touch™

The Human Touch™ algorithms make sense of information in the same intuitive way a human would.

Using advanced machine learning models, the Human Touch™ algorithms are continually learning addresses and every possible address format. With the inclusion of your usual address interpretation methodologies such as intelligent location awareness; fuzzy logic; phonetics; bordering localities etc.

DataTools is able to deliver the most advanced address quality solution available. This means we deliver up to 10% fewer exceptions, with 10% fewer manual verifications for 10% better data.

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DataTools’ Human Touch™

This technology is available as

Point & Click

Process your files through a simple, user friendly software interface


Integrate data quality into your procedures for automated processing. No coding required.

Webservice API

Integrate data quality right into your applications through a variety of languages.
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Australian Address Lists

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