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Sends an image to several vision AI models at once (OpenAI, Claude, Gemini) so you can compare their outputs.
Visionati is a vision-analysis API and toolset that sends an image to multiple AI models at the same time, OpenAI, Claude, Gemini, and others, and returns captions, tags, and descriptions from each so a user can compare results rather than trust a single model's read. Beyond basic captioning it adds NSFW content filtering, facial and emotion recognition, brand and logo detection, OCR text extraction, color analysis, and beta support for analyzing video frames, with responses available in over 160 languages. Access comes through a developer API, browser extensions for Chrome, Firefox, Edge, and Brave, a separate Content Analyzer app, and plugins for Figma, Shopify, and WordPress. It sells on a pay-as-you-go credit system with no subscription requirement.
Credit packs rather than a subscription: Starter is $5 for 500 API credits, about 100 images analyzed since a typical analysis costs about 5 credits. Small Business is $25 for 2,550 credits, Professional is $50 for 5,250 credits, and Enterprise is custom. Credits are usable immediately with no ongoing commitment.
Use tool ↗Visionati's core idea, running one image through several vision models at once instead of picking just one, is useful for developers who want to compare model quality before committing to a single vendor's API. The pay-per-credit model keeps casual use cheap but means cost scales directly, and can climb quickly, with how many models are queried per image.
Watch out: Because it queries several models per analysis, actual cost per image can run well above the advertised baseline of about 5 credits depending on how many models are selected.
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