Taggun supports the following image and file types:
JPEG
PDF
PNG8
PNG24
GIF
HEIF
Country and language support
Taggun provides different levels of support for receipts from different countries.
Category 1 - High priority
Category 1 has a high accuracy rate. Taggun actively measures and improves the accuracy rate for receipts from these countries:
USA
United Kingdom
Germany
France
Australia
New Zealand
Canada (English & French)
Belgium (Dutch & French)
Spain
Mexico
Sweden
Finland
Poland
Norway
Switzerland
Handwritten receipts
If you require improved support for a specific country, please contact [email protected]
Category 2 - Medium priority
Category 2 has a medium to high accuracy rate. Taggun provides support for receipts from these countries:
Israel (Hebrew)
Japan
China
Taiwan
Singapore
Malaysia
Brazil
India
Czech Republic
Denmark
A variety of more European countries that aren't listed.
If you require improved support for a specific country, please contact [email protected]
Category 3 - Low priority
Category 3 is recognised to have a low accuracy rate. Support is limited to our ability to assist:
Thailand
Arabic
Russia
Hungary
If you require improved support for a specific country, please contact [email protected]
​
Confidence level
Taggun calculates the confidence level for each property. This provides a "proxy" accuracy level for each property. Also, an aggregated confidence level for all properties of the receipt is provided at the root level of the result. Maximum confidence level is 0.99 Minimum confidence level is 0.
Merchant name, address and type
Taggun uses Google Places to extract and validate the recognised merchant name and address of the receipt. It biases the result to the closest distance of the bias location (the geolocation of user's IP address or caller's IP Address).
To improve the accuracy of merchant name for your account, you can email us a list of the merchant names in your system. Or you can add a new merchant name to your account with the /api/account/v1/merchantname/add endpoint.
Receipt location vs bias location
What happens when the original location of the receipt is not the same as the bias location of the user or caller? E.g. A user in Australia has scanned receipts from overseas trip in the USA. Think of IP Address geolocation as a mere "suggestion" to influence the result. It is not deterministic. Taggun algorithm is robust enough to extract information without any information of the IP Address.
User's IP address
When possible, it is recommended to include the user's IP Address to lookup for the bias location of the receipt. Include ipAddress request parameter to improve the accuracy of receipt transcription. Taggun uses GeoLite2 data created by MaxMind, available from http://www.maxmind.com.
Caller's IP address
Caller's IP address is the IP address of the server that makes the API request. When the user's IP address is not available, Taggun uses the caller's IP address to lookup for the bias location of the receipt.
Date format
Taggun recognises dates of any formats. Bias location is used when there is an ambiguity between little-endian (DD-MM-YYYY) and middle-endian (MM-DD-YYYY). For example: a request with the bias location of New York, USA will recognise 07-12-2017 as 12th of July. But the same request with the bias location of Auckland, New Zealand will recognise that as 7th of December.
Number format and currency
Taggun recognises both formats decimal point(.) and decimal mark(,) to extract the correct amount.