Smart Local AI – Browser-Based Private AI Tools for WordPress Plugin Directory

Smart Local AI brings machine learning directly to the browser. Every ML model runs on-device in the visitor’s or editor’s browser using Transformers.js and WebGPU/WASM. No data is ever sent to external servers, no cloud API keys are needed, and there are zero recurring costs.

Modules RelevantFlow — Semantic Content Recommendations

Traditional related-posts plugins match by shared tags or categories. RelevantFlow uses a sentence-transformer model (all-MiniLM-L6-v2) to understand the meaning of your content and recommend posts that are genuinely related — even when they share no tags at all.

Understands synonyms and concepts (e.g. “Salah” and “Islamic Prayer” match)

Works with any content type — Posts, Pages, WooCommerce Products, or custom post types

Displays a responsive card widget below your content

Three layout templates: cards, list, and grid

Custom placement via CSS selector or shortcode [atlas_ai_relevantflow]

Theme customization with presets (Default, Light, Dark, Minimal) and custom colors

Embedding index built in-browser by editors — zero server load

Nightly cron flags new/updated content for re-indexing

PersonaFlow — Personalized Content Recommendations

PersonaFlow delivers personalized content recommendations based on visitor behavior — like Netflix for your WordPress site. It tracks 30 behavioral signals (scroll depth, reading time, click patterns, etc.) and computes a per-visitor taste vector to surface the most relevant content for each individual visitor.

Personalized recommendations powered by real-time behavioral tracking

30 behavioral signals including scroll depth, reading time, and engagement patterns

Per-visitor taste profile computed entirely in the browser — no server-side tracking

WooCommerce integration for product recommendations

Three layout templates: cards, list, and grid

Custom placement via CSS selector or shortcode [atlas_ai_personaflow]

Theme customization with presets and custom colors

All tracking data stays on the visitor’s device — fully GDPR compliant

Automatic taste decay ensures recommendations stay fresh and relevant

AltGenius — Automatic Alt Text Generation

Missing alt text hurts SEO rankings and violates ADA/WCAG accessibility guidelines. AltGenius generates descriptive alt text for every image in your media library — entirely in the browser.

Two AI models: ViT-GPT2 (fast) and Florence-2 (detailed)

Bulk Scan to audit and fix your entire media library at once

Auto-generate on media upload

Editor sidebar panel for per-image control with prefix/suffix

No per-image fees, no cloud processing

Key Features

Zero Cost — No API keys, no subscriptions, no per-request fees

Privacy by Architecture — All ML inference runs in the browser; data never leaves the device

GDPR Compliant — No external data transmission means no DPA required

Shared Hosting Compatible — No server-side ML dependencies; works anywhere WordPress runs

WebGPU + WASM — Hardware-accelerated inference with automatic fallback

Modular — Enable only the modules you need; each can work standalone

Cached Models — ML models are cached in IndexedDB after first download for instant reuse

Themeable — Built-in theme presets and custom color options to match any WordPress theme

Upgrade to Pro Get more powerful AI modules and premium features with Smart Local AI Pro.

Have questions or need support? Contact us.

How It Works All AI processing runs in your browser. No server-side ML is required. On first use, models are downloaded from Hugging Face and cached in the browser’s IndexedDB — this one-time download may take 1–2 minutes depending on your connection. After that, models load instantly.

RelevantFlow (Related Posts)

Go to Smart Local AI > Dashboard and enable the RelevantFlow module (or follow the setup wizard after activation)

Select which content type to index from the Content Type selector on the Dashboard (defaults to Posts)

Go to the RelevantFlow tab and click Build Index — this downloads the MiniLM model (~23 MB) and generates an embedding for each published item of the selected content type

You need at least 2 published items of the selected content type for recommendations to appear

Visit any item on the frontend — a “You Might Also Enjoy” section will appear below the content showing semantically related items

PersonaFlow (Personalized Recommendations)

Go to Smart Local AI > Dashboard and enable the PersonaFlow module

Go to the PersonaFlow tab to configure display settings (number of recommendations, layout template, appearance)

Visit posts on the frontend — PersonaFlow will track reading behavior and build a taste profile

After a few page views, personalized recommendations will appear below the content based on the visitor’s interests

Use the shortcode [atlas_ai_personaflow] to place recommendations anywhere in your theme

AltGenius (Image Alt Text)

Go to Smart Local AI > Dashboard and enable the AltGenius module

Upload an image via Media > Add New Media File — the model downloads on first use (~300 MB for ViT-GPT2) and alt text is generated automatically

Or go to Smart Local AI > Bulk Alt Text and click Start Bulk Scan to generate alt text for all existing images missing it

Or edit any post with images in the Block Editor — the AltGenius sidebar panel shows each image with a Generate Alt Text button

External Services This plugin connects to the following external services. No user data or site content is transmitted to these services — only the ML model files are downloaded.

Hugging Face Model Hub ML models are downloaded from the Hugging Face Model Hub (https://huggingface.co/) on first use and cached in the browser’s IndexedDB. The following models are used:

RelevantFlow: Xenova/all-MiniLM-L6-v2 (~23 MB) — Sentence transformer for content embeddings

AltGenius (ViT-GPT2): Xenova/vit-gpt2-image-captioning (~300 MB) — Image captioning model

AltGenius (Florence-2): onnx-community/Florence-2-base-ft (~460 MB) — Advanced image captioning model

These models are open-source and licensed under Apache 2.0 or MIT. No user content, images, or site data is uploaded to Hugging Face — the connection is download-only.

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