AI and Fotoware Make your whole library searchable, usable, and scalable with AI
Fotoware’s AI enriches and organizes your digital assets so your library is instantly searchable, workflows move forward automatically, and your team stays in control.
AI that scales your metadata
Great search starts with great metadata - and that's where AI does its best work in Fotoware. AI helps detect, tag and translate metadata at a scale people never could, so more of your files become findable, usable and ready to work with.
AI content enrichment Auto-enrich every asset for instant searchability
When libraries grow faster than teams can tag them, the result is files that exist but can't be found. Fotoware can analyze each image and generate descriptive tags, human-readable captions and object categories, so your library is fully searchable and organized from day one.
- auto_awesome Descriptive tags generated from visual content, powering search and discoverability
- auto_awesome Searchable content instantly, no manual tagging backlog
- auto_awesome Controlled vocabularies keep terminology consistent across the library
- auto_awesome Scales across high-volume workflows
Detect - tag - search
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face
People & faces
Detect and count people and faces in images for privacy filtering and people-based search.
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document_scanner
Text in image (OCR)
Extract text from images and store as searchable metadata.
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verified
Logos & brands
Detect well-known logos to support editorial and rights workflows.
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category
Objects
Detect high-level objects to categorize large, unstructured libraries fast.
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image_search
Motif
Read the image motif and store as captions in the metadata, making every image searchable.
Metadata translation Make your library searchable in every language
A library tagged in one language locks out every team working in another, leading to duplication of work across markets. Fotoware automatically translates tags, image descriptions, and OCR-extracted text into multiple languages, so the same file is discoverable everywhere it needs to be.
- auto_awesome Translates tags, descriptions, and extracted text into multiple languages
- auto_awesome Translated metadata stored alongside originals
- auto_awesome Makes global libraries searchable in local languages
Natural language search Find the right image by describing what you need in plain language
Keyword search only works if someone applied the right tag. Natural-language search lets teams describe what they are looking for in plain terms and surface relevant results, even when metadata is incomplete. That means faster retrieval and less time spent browsing folders manually.
- auto_awesome Search in plain language, not just keywords
- auto_awesome Understand complex queries and return relevant results
- auto_awesome Surface the right files even when metadata is sparse
Duplicate detection Keep your library free of redundant files and reduce storage
As libraries grow, duplicate and near-identical files accumulate quietly, wasting storage and making version control harder. Smart detection can identify redundant or low-value assets across the library, so teams can clean up with confidence.
- auto_awesome Identify exact and near-duplicate files across large libraries
- auto_awesome Flag low-quality or redundant assets before they clutter search results
- auto_awesome Keep storage lean and library quality high as volumes grow
More AI features
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auto_fix_high
Content modification
Edit images with AI - color enhancement, face blurring (redaction) - for flexible reuse across channels.
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photo_filter
Background removal
Remove backgrounds automatically so the same image is ready to reuse across any channel.
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insights
Workflow optimization
AI-powered insights that suggest ways to improve and streamline your workflows, based on how your team actually works.
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model_training
Custom AI models
Customer-specific tagging that learns from your team's input and suggests context-rich, workflow-relevant tags.
See what AI can do for your library
Book a demo and we'll show you how Fotoware tags, translates, and surfaces your images — using your own content as the example.