mymind Auto-Generated Metadata

1. Content Type Classification

mymind categorizes every item into a type. The export shows 18 distinct types: - XPost (489), Article (282), WebPage (207), Post (127), Product (89), Image (40), Document (18), Embed (13), YouTubeVideo (12), Repository (11), RedditPost (7), BlueskyPost (5), Issue (4), WikipediaArticle (2), Note, Content, MusicRecording, TikTokPost (1 each)

2. AI Visual Recognition Tags (computer vision)

For images and products, mymind runs computer vision to detect: - Objects: faucets, ring binder, bathtub, plant, drawer - Colors: electric blue, magenta, violet, silver, monochrome - Materials: metal, aluminium, titanium, brass, wood - Design attributes: product design, graphic design, font, logo, brand - Visual properties: flash photography, neon sign, atmospheric phenomenon

These cards often have 10-46 tags each. In the data, 286 cards have >10 tags (mostly auto-visual).

3. OCR (Optical Character Recognition)

mymind reads text within images — screenshots, memes, diagrams — and indexes that text so you can search for words appearing inside images.

4. Article Summaries

For web pages and articles, mymind generates a short paragraph summary of the content (this appears in the content field, though the export has very few populated).

5. Smart Card Extraction

For specific content types, it extracts structured metadata: - Books: cover image, author, title - Products: product image, brand, price info - Music: artist, album info - Recipes: specialized formatting

6. Color Search Index

Beyond tagging colors by name, mymind builds a visual color index so you can filter by hue (e.g., “show me all blue images”).

User Tags vs Auto Tags

In the data, the distinction is clear: - User tags (<=5 per card, 672 cards): semantic/topical — read later, Ukraine, rstats, cancel culture, new music - Auto tags (>10 per card, 286 cards): visual descriptors — electric blue,technology,poster,magenta,art,font,display device,signage

mymind shows these separately in its UI (labeled “auto-tags” vs user tags).

What’s in the Export

The CSV has 8 fields: id, type, title, url, content, note, tags, created. The auto-tags and user-tags are mixed together in the tags column with no way to distinguish them in the export. Only 13 cards have user notes, and only 2 have content populated.

Field Population (1,310 cards)

Field	Populated
Title	1,173
URL	1,261
Tags	1,135
Note	13
Content	2