Accurate Real-time Receipt OCR

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Blog » Compare receipt OCR: Abbyy vs Rossum vs Rydoo vs Taggun vs Asprise

Since 1970s, optical character recognition has been used in more and more areas. Thanks to the ubiquitous presence of smartphones, receipts can be easily snapped and uploaded. To ensure a decent user experience, we need to recognize data on receipts accurately in a timely manner. Due to the low print quality of POS thermal printers, receipt OCR is a challenging task. Some vendors claim their solutions are "world's most advanced", "the most robust" and "the best" receipt OCR. How do they perform in the real world? In this article, we'll review the accuracy of the receipt recognition accross different providers: Abbyy vs Rossum vs Rydoo vs Taggun vs Asprise. Other providers are compared in another article: Compare receipt OCR: Asprise vs Nanonets vs Veryfi vs Tabscanner.

Input images

Two images are used in this test (click on the thumbnails to zoom):

The above are two original actual image files used (downloads: r1.jpg | r2.jpg). We'll refer the Walmart receipt on the first image as receipt #1 and the two receipts on the second image as receipt #2A and receipt #2B respectively.

For the sake of simplicity, we only check the result of the two most important data points: merchant name and total amount.

Abbyy

Founded in Moscow, Russia, Abbyy offers many OCR products. One of the products is called Cloud OCR SDK.

Testing steps

  1. Visit Abbyy's Cloud OCR SDK page and click "Start free trial"
  2. Register using an email address, verify email address
  3. Create an application, receive authorization credentials in email
  4. POST a receipt image file to Abbyy API method /processReceipt
  5. Retrieve the result URL via API /getTaskStatus
  6. Get the result - the default format is XML

Abbyy's receipt OCR result

Receipt #1 Receipt #2A Receipt #2B
Merchant name Total amount Merchant name Total amount Merchant name Total amount
Abbyy OK OK Failed to detect OK Low accuracy Failed to detect

Observations: Abbyy successfully detects receipt #1. It fails in detecting the presence of two receipts on the second image. Additionally, the recognition accuracy is not very high for the second image.

Test output files: Output of image #2: aby-r2.xml

Please refer the below screenshots for more details. (Test on: 2021-07-16)

Rossum

Rossum uses artificial intelligence to understand complex structured documents and to enable companies to capture data from financial documents.

Testing steps

  1. Visit its homepage and click "Free Trial"
  2. Sign up using an email address
  3. Login, choose "Import"
  4. Upload the files
  5. Click on the document name to view details

Rossum's receipt OCR result

Receipt #1 Receipt #2A Receipt #2B
Merchant name Total amount Merchant name Total amount Merchant name Total amount
Rossum Failed to detect Failed to detect Failed to detect Failed to detect OK OK

Observations: Rossum fails to detect both receipt #1 and receipt #2A, however it successfully detects receipt #2B.

Please refer the below screenshots for more details. (Test on: 2021-07-16)

Rydoo

Rydoo offers travel and expense management. In 2017, it was acquired by Sodexo, a leader in Quality of Life services.

Testing steps

  1. Visit its homepage and click "Start free trial"
  2. Register using email; verify email
  3. Login, choose "Upload"
  4. Upload the files
  5. Go to "Expenses" tab and click the items to view details

Rydoo's receipt OCR result

Receipt #1 Receipt #2A Receipt #2B
Merchant name Total amount Merchant name Total amount Merchant name Total amount
Rydoo OK OK OK OK Failed to detect Failed to detect

Observations: Rydoo detects receipt #1 and receipt #2A successfully, however it completely ignores receipt #2B.

Please refer the below screenshots for more details. (Test on: 2021-07-16)

Taggun

Taggun is a remote company based in New Zealand with a small team of 3. It offers a receipt OCR API with accuracy of 82.26%.

Testing steps

  1. Visit its homepage
  2. Scroll down the page until you see a file drop area
  3. Drop the files one by one
  4. The result will be displayed on the page

Taggun's receipt OCR result

Receipt #1 Receipt #2A Receipt #2B
Merchant name Total amount Merchant name Total amount Merchant name Total amount
Taggun OK OK Failed to detect OK OK Failed to detect

Observations: Taggun detects receipt #1 successfully, however it confuses the result of receipts B1 and B2 by mixing the two as one.

Please refer the below screenshots for more details. (Test on: 2021-07-16)

Asprise

Leveraging more than 20 years of experience, Asprise OCR offers realtime receipt OCR.

Testing steps

  1. Visit asprise.com/receipt
  2. Drop the files and the result will be displayed on the page

Asprise's receipt OCR result

Receipt #1 Receipt #2A Receipt #2B
Merchant name Total amount Merchant name Total amount Merchant name Total amount
Asprise OK OK OK OK OK OK

Observations: Asprise detects receipt #1 successfully. Asprise detects both of the two receipts on the second image.

Please refer the below screenshots for more details. (Test on: 2021-07-16)

Summary

Receipt #1 Receipt #2A Receipt #2B
Merchant name Total amount Merchant name Total amount Merchant name Total amount
Abbyy OK OK Failed to detect OK Low accuracy Failed to detect
Rossum Failed to detect Failed to detect Failed to detect Failed to detect OK OK
Rydoo OK OK OK OK Failed to detect Failed to detect
Taggun OK OK Failed to detect OK OK Failed to detect
Asprise OK OK OK OK OK OK

The result above shows that receipt OCR accuracy varies across providers. Besides accuracy, you should also consider the speed (average time taken to read a receipt) and the background of the company when choosing a receipt OCR provider.

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