Developers often automate complicated processes while overlooking small, repetitive tasks.
Copying information from screenshots is a good example.
A developer might spend several minutes recreating a table that already exists visually.
For occasional work, manual entry may be fine. For repeated workflows, OCR can reduce the effort.
A simple process could look like this:
Image → OCR → Structured Data → Validation
The output might be JSON for an application or CSV for further analysis.
LoveOCR is one option for exploring image-to-data conversion without building a complete OCR pipeline from scratch.