Memoria vs Visiby: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Memoria and Visiby — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Memoria

Anas

Freemium

On-device photo and video search that indexes the text, speech, objects and faces in your library — no cloud, no account.

On-Device OCR: Reads the text inside photos, screenshots, documents, whiteboards and video frames in seven languages, making every written word searchable.
Local Whisper Transcription: Runs Whisper directly on the device to transcribe the speech in your videos across 99+ languages, so lectures, meetings and voice notes become searchable text.
Face Detection and Clustering: Detects faces and groups them locally so you can pull up every photo of one person in a single tap, without any cloud face database.
Object Recognition: Identifies objects in your library so queries like "red bicycle" return matching shots even when nothing was ever tagged.
Unified Full-Text Index: Combines text, speech, objects and people into one instant search index that lives entirely on the phone.
Background Indexing: Keeps indexing while the app is closed and prioritises work while the device is charging, so a large library finishes without you babysitting it.
Zero-Account Privacy Model: No sign-up, no upload and no tracking — analytics are anonymous and opt-out, and the app is GDPR-safe by having nothing to collect.
One-Time Purchase Unlock: Memoria Plus removes the 250-media indexing cap forever with a single payment processed by Apple or Google, including future on-device models.

Finding a Document You Photographed: Recovering an invoice, bill or receipt you snapped months ago by searching the words printed on it rather than scrolling the camera roll.
Searching Recorded Lectures and Meetings: Locating the moment a specific term was spoken inside a long video by searching the on-device transcript.
Pulling Every Photo of a Person: Assembling all shots of one friend or family member from a clustered face group for a birthday album or share.
Recovering Saved Screenshots and Memes: Tracking down a screenshot or meme by the text written on it instead of guessing when you saved it.
Working Offline or While Travelling: Searching a full media library on a plane or with no signal, since indexing and search never require a network.
Keeping Sensitive Media Off the Cloud: Making a library of personal, medical or client photos searchable without uploading any of it to a third-party service.

FNA Technology

Paid

AI visibility platform that tracks how ChatGPT, Perplexity, Claude, Gemini and AI Overviews cite your brand, and ships fixes.

AI Citation Tracking: Continuously samples roughly 50,000 prompts per week across ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews to record where and how a brand is cited.
Per-Engine Visibility Scoring: Reports a composite AI Visibility score plus share of voice and prompts won or lost, broken out engine by engine so declines can be traced to a specific model.
Prompts & Citations Explorer: Lets teams open any tracked prompt and read the actual model answer to see which competitor was named and why.
Brand Entity Analysis: Maps the adjectives each engine associates with your brand versus competitors and suggests reframing plays to change that portrait.
Competitor Intelligence: Tracks rival citation share on comparison and 'alternatives to' prompts, highlighting categories where a competitor dominates.
Prioritized Action Plan: Converts findings into P0/P1 recommendations such as schema additions or comparison pages, each with a time estimate and projected score gain.
Site Audit for AI Parseability: Audits pages for missing entity definitions, structured Q&A data and other signals that prevent models from citing the site correctly.
White-Label Reporting and API: Higher tiers add white-label client reports, SSO/SAML and API access for agencies managing multiple brands.

AI Search Monitoring: Marketing teams track whether ChatGPT and Perplexity recommend their product or a competitor on high-intent category prompts.
Competitive Benchmarking: Brands quantify how much citation share a named rival is capturing on 'alternatives to' and 'best of' queries.
Content Prioritization: Content teams decide which pages to write or refresh based on which prompts are currently missed rather than on keyword volume alone.
Technical AEO Audits: SEO specialists find pages lacking FAQ schema or entity markers that keep answer engines from parsing them.
Agency Client Reporting: Agencies run pooled prompt tracking across multiple client workspaces and deliver white-label AI visibility reports.
Executive Reporting: Operators present a weekly digest showing search clicks alongside AI citation share to explain traffic shifts leadership sees.