What is AI Keywording?
AI Keywording is an image metadata generator that accepts up to 10,000 images per upload, with a drag‑and‑drop interface for files up to 40 MB. The tool uses AI to analyze each image and automatically creates a title, description, and keyword set that aligns with stock photography search requirements.
Results are compiled into a CSV file ready for direct upload to stock sites or for use with Adobe Bridge. Images are not stored in original form; only temporary resized copies are used for keyword extraction and are deleted after processing. The platform supports batch processing via a token‑based system, allowing users to manage large volumes without manual entry.
AI Keywording pricing
FreemiumVerify on the official pricing page.
View plansAI Keywording's key features
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AI keyword and description generation
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Bulk image upload up to 10k
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Drag‑and‑drop upload
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One‑click CSV export
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Secure image processing, no originals stored
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Token‑based usage per image
AI Keywording use cases
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Automatically generate descriptive titles, keywords, and captions for thousands of stock photos, streamlining the upload process to major stock photography platforms
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Batch-create and export CSV metadata files for Adobe Bridge integration, enabling photographers to maintain consistent image tagging across large portfolios
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Efficiently annotate e-commerce product images with SEO-friendly keywords, enhancing search visibility and driving higher traffic to online stores
AI Keywording user reviews
Would you recommend AI Keywording?
Who is AI Keywording for?
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Digital marketers
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Content creators
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E-commerce sellers
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Product designers
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Data analysts
AI Keywording FAQ
Is AI Keywording free?
Partly. AI Keywording has a free plan with usage limits, and paid plans unlock the full feature set. Plans include Starter at $20/mo, Growth at $59/mo and Scale at $129/mo.
What are the best alternatives to AI Keywording?
The closest alternatives to AI Keywording are AI Keywording Tool, Smart Upscaler, Meta Image Generator, Bulk Image Generation and AI Canvas. You can compare them side by side in the alternatives section further down this page.
