I am using AWS Textract + LLM (OpenAI/Claude) to read grocery receipts for <https://www.5outapp.com>
So far, I have collected over 500 receipts from around 10 countries with 30 different supermarkets in 5 different languages.
What has worked for me so far is having control over OCR and processing (for formatting/structuring) separately. I don't have the figures to provide a cost structure, but I'm looking for other solutions to improve both speed and accuracy. Also, I need to figure out a way to put a metric around accuracy. I will definitely give this a shot. Thanks a lot.
So far, I have collected over 500 receipts from around 10 countries with 30 different supermarkets in 5 different languages.
What has worked for me so far is having control over OCR and processing (for formatting/structuring) separately. I don't have the figures to provide a cost structure, but I'm looking for other solutions to improve both speed and accuracy. Also, I need to figure out a way to put a metric around accuracy. I will definitely give this a shot. Thanks a lot.