Obsidian Is for Thinking. Screvi Is for Collecting.

Your vault is where ideas connect. But getting highlights into it (from Kindle, articles, podcasts, physical books) shouldn't require a plugin stack and YAML templates. Screvi collects and reviews your highlights, then exports to your vault when you're ready to think.

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How Obsidian users handle highlights today

If you're an Obsidian power user, you've probably spent real time on your highlights workflow. The typical setup looks something like this: the Readwise Official plugin or Kindle Highlights plugin to pull in book highlights, a YAML frontmatter template with properties for author, ISBN, genre, and status, Dataview queries to build reading dashboards, maybe Templater scripts to format highlights on import.

It works. But it takes effort to set up, and it takes ongoing effort to maintain. Plugins break after Obsidian updates. Kindle sync requires a Readwise subscription (which adds cost on top of Obsidian Sync). Dataview queries need tweaking when you change your template structure. And if you want to add a new source (say, podcast transcripts or physical book highlights), you're back to researching plugins and writing more templates.

There's also the review problem. Obsidian has a spaced repetition plugin, but it's designed for flashcards, not highlight review. It doesn't have the SM-2 scheduling that purpose-built review tools use. Most Obsidian users end up with a vault full of highlights they imported once and never looked at again.

Search is keyword-based. Obsidian's built-in search and Dataview both match exact text. If you're looking for "that highlight about why people resist change" but the actual text says "status quo bias in organizational behavior," you won't find it.

None of this means Obsidian is bad at what it does. Obsidian is one of the best tools for connected thinking. The graph view, backlinks, block references, and local-first Markdown files make it a genuinely powerful second brain. But collecting raw highlights from multiple sources and scheduling reviews, that's a different job.

Obsidian for highlights: an honest assessment

What it does well

  • Local-first Markdown files (you own your data completely)
  • Graph view and backlinks for connecting ideas
  • Massive plugin ecosystem with community support
  • Block references and transclusion for linking specific highlights
  • Free for personal use (Sync and Publish are paid)
  • Works offline by default
  • Highly customizable with CSS snippets and themes

Where it falls short

  • No built-in Kindle/Kobo/Apple Books import (requires plugins + often Readwise)
  • No article reader or web clipper with highlighting
  • Spaced repetition plugin exists but is flashcard-focused, not highlight review
  • Keyword-only search (no semantic or meaning-based search)
  • No physical book scanner
  • No newsletter inbox
  • No highlights feed or daily review emails
  • No AI topic discovery across your library
  • Plugin maintenance overhead (updates can break workflows)
  • Setup requires significant time investment (templates, Dataview, frontmatter)

How Screvi and Obsidian work together

The best setup isn't picking one over the other. It's using each tool for what it's built to do.

Screvi handles the collection layer. Connect your Kindle and highlights sync automatically. Save a web article with the browser extension, highlight as you read. Scan a page from a physical book with the AI camera. Subscribe to a newsletter and highlight it in your inbox. Screvi pulls everything into one place without plugins, templates, or manual effort.

Screvi also handles the review layer. Spaced repetition with the SM-2 algorithm resurfaces highlights at the right intervals. A daily email digest arrives in your inbox. A scrollable highlights feed lets you browse your own ideas. AI semantic search lets you find highlights by meaning. Ask a question in plain language and get results across every source.

When a highlight sparks something worth developing (a connection between two ideas, a concept you want to explore in writing, a theme across multiple books), that's when you move it to your vault. Export from Screvi in Markdown format and it drops right into Obsidian. Add your backlinks, connect it to your existing notes, and let the graph do its work.

Screvi collects and reviews. Obsidian connects and develops. Each tool does its job without getting in the other's way.

Obsidian vs Screvi for highlights

Different tools built for different stages of the knowledge workflow.

Screvi: 12/23 features · Obsidian: 4/23 features

FeatureScreviObsidian
Import Kindle highlightsBuilt-in, automaticPlugin required (+ Readwise for auto-sync)
Import Kobo highlightsBuilt-in, automaticPlugin required
Import Apple Books highlightsBuilt-in, automaticPlugin required
Save and highlight web articlesWeb Clipper (saves page, no highlighting)
Newsletter inbox
YouTube/podcast transcripts
Physical book scannerAI-powered (Gemini)
AI semantic search
Spaced repetition for highlightsSM-2 algorithm, built-inFlashcard plugin (not highlight-focused)
Daily email digest
Highlights feed
AI topic discovery
AI highlight cleanup
Graph view / backlinks
Block references / transclusion
Local-first Markdown files
Plugin ecosystem1,800+ plugins
Custom CSS / themes
Tags with colorsTags (no colors)
iOS home screen widget
Public APIPlugin-based (URI scheme)
Export to MarkdownNative format
Setup time for highlightsMinutesHours (plugins, templates, Dataview)

What Screvi adds to your workflow

Every source, zero plugins

Kindle, Kobo, Apple Books, PDFs, web articles, YouTube, podcasts, physical books, all imported natively. No plugin stack to install, configure, or maintain after Obsidian updates.

Semantic search across everything

Find highlights by meaning, not keywords. Ask "what did I read about the cost of context switching?" and get results from a Kindle book, a web article, and a podcast transcript, even if none of them use those exact words.

Real spaced repetition for highlights

The SM-2 algorithm, not a flashcard plugin. Screvi schedules highlight reviews at intervals backed by memory research. You get a daily email digest and an in-app review queue.

A feed for your own thinking

Scroll through your highlights like a feed. Filter by source, tag, date, or favorites. It's a different experience from scanning a Dataview table. You actually revisit things.

Themes you didn't tag

AI topic discovery clusters highlights by theme without manual tagging. It finds connections across a business book, a philosophy article, and a podcast episode that you wouldn't have linked yourself.

Clean Markdown export to your vault

When a highlight is worth developing, export it in Markdown and drop it into Obsidian. Add backlinks, connect it to your MOCs, and let it become part of your thinking system. Screvi collects; your vault connects.

Export to your Obsidian vault in Markdown

Screvi exports highlights in clean Markdown format, ready to drop into your vault. Each export includes the highlight text, source metadata, your notes, and tags. From there, add backlinks, link to your maps of content, and integrate with your existing note structure. The Screvi API also supports automated export if you want to build a custom sync workflow.

Frequently Asked Questions

Try it with your highlights

Create your account, add your highlights and see how Screvi can change the way you read.

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