A tilted or poorly framed label photograph can make text recognition harder. Improving the input is often more useful than immediately changing the recognition model.
Tesseract's quality guidance discusses image preparation, including rotation and deskewing. Tesseract — Improving OCR output quality.
Preserve the source
Keep the original photograph alongside any processed version. For a product label, compare ambiguous characters directly with the image. A plausible material code may still be the wrong code.
Route consequential fields
Define which transcribed values need human confirmation before entering a catalogue or technical record. OCR extracts an interpretation of the image; it does not verify that the label itself is accurate or that the described product meets a requirement.
Source reviewed 25 October 2026. Interpretation and original diagrams: PLUSHIP / Qunhe. Examples are illustrative.
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