Recent updates

February 2018

  • Added a new endpoint and data center in the UK, providing lower latency and faster throughput for customers in the Europe region.

December 2017

  • When API request encounters an error, the endpoint now returns HTTP status code 400 with a short description of the error.

  • Improve accuracy for date formatting detection and extraction.

September 2017

  • Released an alpha version of invoice number and IBAN (bank account number) extraction under the property of entities.

  • Improved line item description and amount detection and accuracy.

August 2017

  • Increased accuracy for extracting totalAmount using subset sum algorithm
  • Released an alpha version of line item description & amount under the property of lineAmounts. This will detect the description and the amounts found on the receipt.

July 2017

  • Enhanced merchantName, merchantAddress and merchantType to feed-forward production data as training data for Machine Learning to improve accuracy.
  • Increased accuracy by rotating image 90 degrees if receipt is detected to be landscape.
  • Added support to extract date with without year information, eg JULY'24. The engine will assume the year is the current year.

June 2017

  • Converted to use PDFium as the PDF reader, reducing 70% on PDF conversion time.
  • Reduce time to load file for /api/receipt/v1/simple/url by using in-memory buffer.

May 2017

  • Added /api/receipt/v1/match/file endpoint to recognize if an image of a receipt contains certain keywords (supplied by the client) and return result indicating whether the image is a likely or unlikely match to the supplied keywords.
  • Added an optional request parameters support languages other than English for OCR. Currently supporting: en, es, fr, jp, he, iw
  • Added a new property numbers in verbose mode to return any detected numbers on a receipt or article. This is useful for those who wants to detect any reference number or codes on a receipt.

April 2017

  • Added line amounts in the verbose results. Line amounts are 1 or more amounts that were found on the receipt that accurately sums up to detected total amount of the receipt. This is implemented using the subset sum algorithm. It also greatly improves the confidenceLevel calculation.
  • Publish this help documentation for Taggun. Even though Swagger documentation is great for up-to-date information for the APIs, there are still other aspects in Taggun that I would like to share with everyone.
  • Added /api/article/v1/verbose/file endpoint to perform OCR other than receipt. This is useful to just do a simple image-to-text dump and capture any metadata like dates and amounts that are found on the image.

March 2017

  • Modify receipt endpoints and the structure of the response uniform and easier to understand.
  • Added a dump of all detected amounts on a receipt to meet a feature request from a Reddit user. Follow the link to see the Reddit post.
  • Started Taggun blog. Apparently blog is the most effective tool for digital marketing?!!. Check it out -->
  • Woohoo... Taggun has a bot!! His name is Marvin and he is Taggun's admin assistant. You can ask him to do a few basic administrative tasks now. Get to know more about Marvin.
There are many wonderful things that have happened before March 2017, but they are not logged here.

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