support multiple input format (e.g., image and electronic documents) detections.
support multiple languages (e.g., english, vietnamese and chinese) recognition.
transform the data extracted from receipts into a standard format (e.g., json and dsv).
input an image of receipt into the system.
preprocess the image to reduce the noise and improve accuracy.
receipt digitization (ocr) step 1.
receipt digitization (ocr) step 2.
receipt digitization (ocr) step 3.
convert the extracted information into the required format.
output the structured data.
manual computing in daily financial work is a time-consuming process that usually leads to confusions and mistakes. advance receipt recognition digitalises the payment and receiving procedures, improving business efficiency and trading transparency.
in digital supply chain 4.0, it is essential to digitalise trading management. advance receipt recognition assists in dealing with the receipts and invoices quickly and effectively, modernizing the supply chain by ai technology.
key fields accuracy is over 99% due to long-term training.
response time for each recognition is less than 0.5 second.
support complicated backgrounds, different lighting conditions and various rotation angles.
start the conversation with our team. we're always happy to help.