Shop owners send receipt photos on WhatsApp. Before Imali AI's agent records a cent, OpenCV 5 finds the slip, flattens it, checks it can be read and reads it. What it sees decides the next step: record the expense, ask the owner to confirm, or ask for a better photo.
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Pick a sample or upload a photo. It appears here as the owner's message, and the agent answers.
The step-by-step trace appears here: every OpenCV call, what it found and why the agent chose the next step.
Three ways to find the paper (edges, brightness, local threshold), checked against where the OpenCV DB text detector finds text. Then a perspective warp, readability scores and a cleaning mode picked from them.
The OpenCV CRNN reader reads every line. A total is trusted only when a second line agrees: cash minus change, or the items adding up to the subtotal. If not, the agent re-cleans and reads again.
Record the expense, ask the owner to confirm the figure, or ask for a new photo and say what to fix: cut off, blurry, glare or too dark. The owner always has the last word.
Entries from this demo only, for a made-up shop. Real Imali AI books are never touched.
Nothing recorded yet.