Overview

Amazon returns error 100203 when its automated image review detects abusive or offensive language embedded in a product picture. The rejection appears at the moment a seller tries to publish or update a listing, forcing the image to be replaced before the product can go live. Sellers must act quickly because a blocked image can stall visibility and sales.

Key Points

• Automated text scan — Amazon’s image‑processing engine reads every pixel for words, flagging any term that matches its prohibited‑language list, even if the text is part of a label or logo.
• All text sources count — The filter triggers on watermarks, promotional overlays, packaging copy, and even small print on a bottle cap; any visible wording can be flagged.
• Policy alignment — The error enforces Amazon’s broader content rules that ban profanity, hate speech, and other abusive language across all listing elements, including images.
• Edit‑only fix — Changing the product title or description does not resolve the issue; a new, compliant image must be uploaded.
• False‑positive risk — Occasionally the OCR engine misreads stylized fonts or decorative symbols as offensive words, resulting in a rejection that still requires image replacement.
• Bulk‑listing impact — For sellers using feed files or third‑party tools, a single flagged image can halt an entire batch upload until the offending picture is corrected.

How Error 100203 Works

1. Image upload & OCR pass — When a seller submits a picture, Amazon runs optical‑character recognition (OCR) across the file.
   Example: A seller uploads a photo of a coffee mug that shows the brand’s “Best Day Ever” slogan; the OCR engine extracts the words “Best Day Ever.”
2. Keyword comparison — Extracted text is cross‑checked against a prohibited‑language database that includes profanity, slurs, and hate‑speech terms.
   Example: The OCR mistakenly reads the stylized “S” in the logo as the word “shit,” which appears on the blacklist, triggering the error.