AI ExpenseHow to Fix Blurry Receipt Scans Before OCR
Use a simple capture routine to reduce blur, glare, shadows, and missing receipt edges.
Published by the AI Expense Editorial Team. AI Expense is developed and published by EmuInbox.
Problem: Use a simple capture routine to reduce blur, glare, shadows, and missing receipt edges.
Case notes for mobile users scanning receipts in changing light
The useful outcome in this case is to improve the source image before recognition begins. Start from the source document and record only what another person can verify. A complete-looking row is not useful when its merchant, date, amount or context cannot be traced back to evidence.
What arrives
The process begins when you place the receipt under even light and switch off direct flash when it creates glare. Before recognition, decide whether the file represents one transaction, several documents or an incomplete source.
What requires judgment
Next, hold the phone parallel to the page instead of shooting from an angle. The most relevant warning sign is trying to sharpen an unreadable photo later. Keep that issue visible instead of allowing automation to turn uncertainty into an apparently final value.
What must survive handoff
Then tap to focus on the smallest printed text before taking the photo, followed by retake the image when totals or tax lines are not legible at normal zoom. The finished record should prove that small text is readable, all four corners are visible, there is no bright reflection over the amount.
A blur diagnosis that takes less time than correcting bad OCR
A fuel receipt photographed inside a parked car may look acceptable as a thumbnail while the litres, unit price and tax line are unreadable at full size. Before running recognition again, identify whether the problem is motion blur, missed focus, glare or perspective. Each cause has a different fix, and repeated processing of the same weak image cannot recreate characters that the camera never captured.