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Image Rotator
API that detects if a product photo is sideways or upside-down and tells you the exact fix. Priced at 3 cents per credit, pay only as you use it.
Website, pricing, platforms and company facts side by side.
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| Website | cloudlinux.com | blueveta.com |
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| Company | — | Startup from the United States · 1 - 9 employees |
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BlueVetaUpright is an API that detects whether a product photo is sideways or upside-down and tells you exactly how much to rotate it. Send one image (raw bytes or a public URL; JPEG, PNG, WebP or HEIC) and get back the clockwise rotation needed, a calibrated confidence score, and a plain-English...
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As answered by people managing CloudLinux and BlueVeta Upright.
BlueVeta Upright's answer:
It is tuned for one job: telling you whether a product photo is sideways or upside-down and by exactly how much. Instead of one model's guess, it combines two independently trained models with a small decision model, and it says so plainly when it is not confident or when a photo's camera tag disagrees with what it actually sees. Measured on a ~25,000-photo hand-reviewed test pool: above 95% on clean rotations.
BlueVeta Upright's answer:
General vision APIs are built for many tasks at once and are not tuned for this one. Independent research shows a general-purpose model's accuracy on rotated images can drop to around 40%. BlueVetaUpright is built only for product-photo orientation, returns a calibrated confidence, flags uncertain answers instead of guessing, and costs 3 cents per credit with no subscription.
BlueVeta Upright's answer:
Developers and teams who handle product photos at scale: e-commerce stores, marketplaces, catalog and listing tools, and AI agents or pipelines that need images the right way up before they are shown, edited or analysed.
BlueVeta Upright's answer:
BlueVeta's own AI marketing pipeline runs every product photo through AI vision, and a sideways or upside-down photo quietly breaks everything downstream. We found general vision models were unreliable at spotting rotation, so we built a dedicated detector, tested it on real hand-reviewed photos, and opened it up as an API for anyone who has the same problem.
BlueVeta Upright's answer:
Two independently trained computer-vision models plus a small decision model that picks between them, geometric checks, and a camera-tag (EXIF) cross-check. Served as a REST API on Cloudflare. Also published on the official MCP Registry (com.blueveta/upright), so any MCP-compatible AI agent (Claude, Cursor, etc.) can call it directly using your own API key — same pricing as the REST API.
BlueVeta Upright's answer:
We're early-stage, so we don't have named customer logos to share yet. Instead of a list, here's who we're actually built for -- the teams we see getting the most value:
If that's you, the API is free to try (3 cents/credit, $3 minimum).
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