Hi everyone,
I’m working on a project where users upload receipt images (store, date, time, receipt number, items, and prices). I’d like to automate the process of extracting this information and saving it into an Excel file.
What would be the best way to build an agent or workflow for this? Ideally, the agent should:
Perform OCR on receipt images
Parse the extracted text into structured fields (date, time, store name, items, prices, etc.)
Save everything directly into an Excel sheet
I’m open to different approaches — Python, n8n, Zapier, or any other low-code/no-code tools. Has anyone here implemented something similar or can recommend best practices/libraries (e.g., Tesseract, OpenCV, or AI-based solutions)?
Thanks in advance for your suggestions!<!-- Hey! The fastest way to find solutions is by using the 🔎 search function at the upper right.
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Hey, n8n is an awesome tool for this! Here is my take, mark it as solved it it helped you 
You will need to configure your credentials for the AI model and also for Google sheets. Then the output in the sheet looks like this:
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