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Read small print from a product photo and retain evidence
Crop and zoom a small label, extract a lot number or warning, and retain the crop.
Goal
Crop and zoom a small label, extract a lot number or warning, and retain the crop.
Steps
- Submit the image, locate the text, and call the crop tool. [source09]
- Read the crop again and archive the original, coordinates, crop, and text. [source09]
- Check ambiguous characters manually; do not use low-confidence text for recalls or compliance. [source09]
How to verify
Verify crop coordinates point to the small-print region and the second read matches original/crop evidence.
Troubleshooting
If print remains unclear, enlarge the crop without distortion; do not use low-confidence text for recall or compliance.
Permissions
Prerequisites
- Anthropic vision API, Python, authorized product photo; no consumer personal data.
Permissions
- Uploads approved product images to Anthropic vision and uses a crop tool; API use may be billed. Retain original, coordinates, and crop under policy.
Limitations
Crop and text-read results need human confirmation; do not base recall or safety conclusions on low-confidence text.
Pinned upstream source
- Repository
- anthropics/anthropic-cookbook
- File path
- multimodal/crop_tool.ipynb
- Pinned commit
9c1e493ddd2b82df399d2a61b9c806c539e18be6- Source checked
- 2026-10-14 · Reviewed against the pinned upstream source
Repository metrics
These values describe the upstream repository, not popularity or likes for an individual skill or playbook.
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License: MIT
Main topic
Turn ecommerce campaign materials into a reviewable weekly brief