Visual Intelligence API for Smart Media Applications
Uggla helps cloud storage, photo gallery, media archive and telecom cloud platforms analyze, organize and enrich visual data automatically. It turns photos and videos into structured intelligence for automatic albums, memory generation, best-shot and best-scene selection, face grouping, object and scene classification, OCR, document recognition and advanced media search.
Designed as an API-first media intelligence layer, Uggla can power large-scale consumer photo libraries and smart media experiences.
It analyzes images and videos, extracts structured metadata and helps customer applications create automatic albums, memory suggestions, best-shot selections and advanced search experiences.
Uggla can work as a fast production pipeline, a hybrid VLM/LLM-supported architecture or an extended AI analysis layer depending on customer needs, media volume, hardware capacity and target product experience.
Key Features
Media Ingestion & Auto-Organization
Ingest photos and videos through API or application uploads. Uggla analyzes, tags and organizes media automatically, helping applications create albums, memories and searchable archives without manual folder creation.
Face Grouping & Person Clustering
Detects faces and groups the same person across photos and videos. Person clusters can be used for people albums, family memories, smart search and best-face selection.
Object, Scene & Context Classification
Recognizes objects, places, scenes and contextual signals in photos and video keyframes. Multiple signals can be combined to support concepts such as travel, birthday, beach, pet, vehicle or family memory.
Video Keyframe Analysis
Selects representative frames from videos and analyzes them like photos. This allows video content to be included in albums, memories, search results and best-scene selection workflows.
OCR & Text in Images
Reads text from signs, documents, tickets, invitations, screenshots, posters and other visual content. OCR results can support search, document recognition and album context.
Document & Screenshot Recognition
Identifies document-like and low-memory-value content such as screenshots, receipts, invoices, tickets, boarding passes, IDs and passports, helping keep personal memory albums cleaner.
Metadata & Location Enrichment
Uses EXIF, capture time, media type, location and file metadata as supporting signals. Metadata can improve travel memories, event grouping and automatic album decisions.
Duplicate & Similar Frame Grouping
Groups repeated, burst or visually similar photos and video frames. This helps reduce clutter and supports better selection of representative shots.
Best-Shot & Best-Scene Selection
Highlights better photos and video moments using sharpness, exposure, face quality, eye openness, smile signals, duplicate status and album context.
Automatic Album Generation
Combines face, person, object, scene, OCR, metadata, location, quality and similarity signals to support automatic albums for people, family, pets, travel, events, food, nature, documents and videos.
Memory Generation
Creates meaningful memory suggestions by connecting photos and videos taken around the same time, location, people, event or visual context.
Semantic Media Search
Enables search across people, objects, scenes, OCR text, documents, filenames, metadata, locations and visual similarity. Search can go beyond exact keyword matching.
Selective Deep Visual Analysis
Supports optional VLM/LLM-based enrichment for difficult, ambiguous or high-value cases such as detailed visual descriptions, brand/model analysis, custom categories or richer memory experiences.
Extensible Taxonomy & Reprocessing
Supports global and customer-specific taxonomy extensions, legacy category mapping, tag correction and model updates. Existing archives can be reprocessed or enriched as recognition rules improve.
With Nevalabs’ Uggla visual intelligence software, we support smart photo organization for millions of photos every day on Turkcell’s personal cloud storage service, Lifebox. Uggla helps us analyze visual organization signals such as face similarity, visual content categories and photo quality-related signals, contributing to more meaningful album and memory experiences for our users. Together with Nevalabs, we have enabled intelligent photo organization for more than 10 billion photos to date. We are pleased to work with Nevalabs as a technology partner thanks to their high-accuracy AI solutions, adaptable approach, fast support services and compliance-oriented delivery aligned with KVKK/GDPR requirements.
Turn Media Archives into Smart Visual Experiences
Get started with Uggla. Schedule a demo to see how visual intelligence can power smarter albums, memories and media search.
