Fabric

Fabric is an AI workspace that stores notes, files, links and meeting recordings in one place and lets an AI assistant search, summarise and act on them.

Note-taking # second brain# ai notes# knowledge management# note-taking# ai workspace# meeting notes
Fabric Screenshot 1

Quick Facts

Pricing Model

Paid

Pricing Options

Monthly
$10 /mo
Yearly
$96 /yr

$8/mo billed yearly, save 20%

Category

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Fabric Review: An AI Scrapbook That Refuses to Be Obsidian

If you type fabric.so/pricing into your address bar as a logged-out visitor, the site quietly redirects you to a Google and Apple login page. To see what the platform actually costs, you have to dig up the separate /pricing-and-plans-for-individuals URL. That little hurdle sets the tone for Fabric: an ambitious, visually striking workspace that tucks quite a few practical compromises behind its polished exterior.

The homepage advertises a prominent "Try for $0" button, but do not mistake that for a permanent free plan. It is an onboarding trial. Once you reach the paid tiers, individual pricing breaks into three options:

  • Plus costs $10 month-to-month, or $8 per month when billed annually ($96 upfront). That gets you 50GB of storage, 100 spaces, and audio transcription capped at 4 recordings per day. However, uploads max out at 50MB on the main card view, you are restricted to "light" monthly AI usage, and live web search is absent.
  • Pro costs $24 monthly, or $18 per month on annual billing ($216 upfront). This level increases storage to 250GB, raises individual file uploads to 5GB, activates live assistant web search, and provides up to 10 scheduled AI jobs.
  • Max runs $68 month-to-month or $54 per month annually ($648 upfront), lifting storage to 1TB and agent jobs to 50.

The biggest commercial gotcha is the refund policy. Fabric's FAQ states plainly that all sales are final. Their rationale is that background computational costs for analyzing documents, running models, and generating semantic links across your library are "extremely high." Furthermore, monthly AI tokens are metered. If you upload large PDF archives or run automated routines frequently, you burn through your tier's allocation quickly and have to buy top-up credits in your account settings.

Where the Tool Actually Shines

Fabric is built for digital hoarders who refuse to maintain tidy folder systems. Instead of asking you to tag every file or structure nested directories, it uses its internal Memory Engine to automatically calculate relationships between notes, bookmarks, PDFs, and screenshots.

Its strongest feature is low-friction capture. The browser extension lets you save links, clip images, and attach notes directly onto live websites. On desktop, Fabric can mount as a virtual cloud drive, streaming assets on demand without eating local disk space. You also get an infinite canvas alongside a lightweight markdown editor, letting you arrange visual moodboards right beside raw text.

Search is genuinely capable. Because indexing relies on conceptual meaning rather than exact keywords, you can search for abstract ideas, such as finding a research paper by describing its core thesis, or locate design assets by visual color palette. Reviewers on Product Hunt frequently praise this capture-first approach, noting that it solves the digital clutter problem for people who save hundreds of bookmarks and never look at them again. The platform also includes background AI assistants named Sol, Juno, and Pip, complete with their own inbound email addresses so you can forward messages directly into automated workflows.

The Friction: Token Limits and Missing PKM Depth

The trouble starts when users treat Fabric as a dedicated personal knowledge management (PKM) tool. Across discussions on Reddit, particularly in r/PKMS and r/ProductivityApps, a recurring complaint is that Fabric functions as an expensive AI wrapper if your primary need is deep writing. The editor lacks bidirectional wikilinks, atomic note structures, and block references. If you are used to the interconnected relational graphs of Obsidian, Logseq, or Capacities, Fabric feels more like an ambient scrapbook than an analytical workspace.

Redditors also highlight persistent token anxiety. Ingesting large archives or transcribing multi-hour recordings drains monthly allowances rapidly, prompting upsell warnings or unexpected top-up expenses. Support is another oddity: help is handled primarily through a community Discord server rather than a conventional support desk, which can feel uncomfortably informal when paying $24 a month.

Who Should Pay for It

Skip Fabric if you need local markdown files, data privacy, or complex bidirectional note hierarchies. Obsidian or Capacities will serve you far better at a fraction of the cost.

Pick Fabric if your desktop is a messy graveyard of screenshots, browser tabs, voice memos, and client PDFs, and you know you will never spend Sunday organizing folders. If your priority is dumping everything into one visual repository and letting semantic search dig it up later, the $18 monthly Pro plan earns its keep. Just keep an eye on your AI usage meter.

Key Features

  • → Notes, docs, canvas, bookmarks and file storage in one workspace
  • → AI assistant that searches and summarises everything you have saved
  • → AI notetaker for voice and meeting recordings with transcription
  • → Intelligent memory that connects related items automatically
  • → Web clipper, email-to-Fabric and handwriting scanner
  • → Scheduled AI jobs and agents
  • → Publishing, sharing and link analytics
  • → Apps for web, desktop, iOS and Android plus an API and CLI

Pros

  • Little manual organising needed: AI files and resurfaces content
  • Strong browser extension and quick-save capture
  • Generous storage, 50GB on the entry plan
  • Yearly billing gives two months free

Cons

  • No free tier listed on the pricing page
  • Reviewers report inconsistent AI assistant answers
  • Support runs mainly through Discord
  • AI usage is metered per plan and may need top-ups

Technical Performance

Lighthouse Audit

Speed
65/100 D
Accessibility
82/100 B
Best Practices
96/100 A
SEO
92/100 A

Core Web Vitals

LCP 2.3s
FCP 1.6s
CLS 0.002
TBT 1.3s
Speed Index 8.2s

Performance data measured via Google Lighthouse. Fast load times indicate a well-optimized product that won't slow down your workflow.

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Category

Tags

second brainai notesknowledge managementnote-takingai workspacemeeting notes