readability-read-aloud-web-pdf-ai-summary
Free · Open source
Users wanting distraction-free reading
Skimlane
FreeOpen Source
You paste a 3,000-word article into a summarizer, get five bullets back, and immediately wonder which half of the original they erased — and whether the claim in bullet three was even in the source. Skimlane is a Chrome extension that processes pages as you browse, running your own structured recipe against each one so the output matches what you actually need, not what a generic prompt decided.
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Get This Tool
License: License: unverified
Local-run terms: Runs as Chrome extension with local storage and optional local models; no code repository provided.
Screenshots 1
Pricing
- Model
- Free
Summary
The core loop is automatic: land on a page, Skimlane fires your default recipe, and a structured result appears in the side panel before you finish reading the headline. Recipes define exactly which sections matter — bottom line, weak evidence, roadmap implications, whatever your workflow demands — and those recipes are exportable files you can share or reuse across machines. Everything stays in Chrome storage: no account, no backend, no telemetry. The vendor states support for Gemini Nano on-device, local Ollama models, and Groq's free cloud tier, so the tool works without spending anything or sending data to Skimlane. The ceiling appears fast: this is a single-page, one-shot processor — there is no cross-page synthesis, no persistent knowledge base, and no way to surface patterns across fifty articles you skimmed last month.
Bottom line: Pick Skimlane when you need the same structured read on every article you touch, with nothing leaving your browser; move to a dedicated research tool when your workflow depends on connecting or comparing what you have read across sessions.
Find your fit
Before you choose Skimlane
More options in Summarizers. Compare pricing, platforms, and features side by side.
hn-ai-summarizer
Free · Open source
Self-hosted homelab users
Pros
- Recipe-based output structure means every page you read returns the same sections in the same order, so you stop mentally reformatting generic summaries before you can use them.
- Local-first storage with no Skimlane account or backend means your reading history, API keys, and saved skims never leave Chrome storage — which matters when the articles you are processing are competitively sensitive.
- On-device model support via Gemini Nano and local Ollama means the tool runs fully offline with no API spend, so the workflow does not break when you are on a plane or when a provider has an outage.
- Exportable recipe files mean a consistent reading structure can be shared across a team or imported on a new machine, so no one rebuilds the same prompt configuration from scratch.
- Follow-up chat against the processed page means you can interrogate the skim result without re-reading the source, which cuts the time between landing on a page and extracting the one thing you needed.
Cons
- There is no cross-session synthesis: Skimlane processes one page at a time and saves results to Chrome storage, but there is no way to query or compare across saved skims. A researcher who needs to find the claim that appeared in three different articles last week has no mechanism for that — they open each saved skim manually. Teams with that need move to a dedicated tool with a persistent, searchable knowledge base.
- The extension is Chrome-only. No Firefox support, no Safari support, no standalone web app. Any team member on a non-Chromium browser cannot participate in a shared recipe workflow at all — and that is not a settings problem with a workaround.
- Recipe complexity has no branching or conditional logic: every page runs the same recipe top to bottom regardless of content type, length, or domain. A workflow that needs different section sets for, say, academic papers versus product announcements requires maintaining two separate recipes and manually switching between them before each page load. Teams that need dynamic, content-aware processing will find this ceiling quickly and move to a tool that supports conditional prompt paths.
About
- Platforms
- Chrome
- API Available
- No
- Self-Hosted
- No
- Last Updated
- July 20, 2026
Best For
Who it's for
- Researchers and analysts needing consistent page structures
- Users prioritizing local privacy and offline models
- Power readers building personal knowledge workflows
What it does well
- Structured summarization of long-form articles
- Product intelligence briefs from web content
- Signal cleaning to remove fluff and unsupported claims
- Reusable reading workflows across sites
Integrations
Frequently Asked Questions
- Is Skimlane free?
- Skimlane offers a free option. Hosting, model usage, or optional services may have separate costs; check the pricing details and official terms.
- Is Skimlane open source?
- Yes. Skimlane is open source.
- What platforms does Skimlane support?
- Skimlane is available on: Chrome.
Most reading assistants hand you a generic summary and call it done. Skimlane takes a different approach: it runs a recipe — a user-defined set of sections with explicit prompts, model choices, and detail levels — against each page automatically as you browse. The result sits in a Chrome side panel, ready for follow-up questions or export as Markdown. Auto Skim handles the trigger; you define what the output contains. Settings, history, saved skims, API keys, and recipes all live in Chrome storage and never touch a Skimlane server.
The recipe system is the differentiating mechanism. A recipe is not a single prompt — it is a sequenced set of sections (the docs describe options like ‘Bottom Line’, ‘Signal Cleaner’, ‘PM Brief’, and fully custom sections with your own prompts), each with its own model tier assignment and verbosity setting. Recipes export as files, so a team can standardize on one structure, share the file, and everyone reads the same way. The vendor ships ready-made recipes for common reading tasks, but the builder lets you replace every section.
Skimlane fits researchers, analysts, and heavy readers who move through many pages and want consistent structure without manual prompt work each time. It does not fit anyone building a knowledge base across sessions: there is no cross-page synthesis, no tagging that survives outside Chrome storage, and no search across saved skims. A team wanting to pull patterns from a week of competitive intelligence articles will hit that wall and reach for a tool with a persistent, queryable store. Additionally, Skimlane is Chrome-only — Firefox users, Safari users, and anyone on a non-Chromium browser cannot run it at all.
For model connectivity, the vendor states support for Chrome’s built-in Gemini Nano, local Ollama endpoints, Groq’s free cloud tier, and bring-your-own-key connections to OpenAI, Anthropic, Gemini, and OpenRouter-compatible endpoints. Hosted model traffic goes directly from your browser to the provider — Skimlane sits in the middle for nothing except the extension logic itself. Data deletion is explicit: a Data Privacy panel in the extension clears history, saved skims, snapshots, chats, settings, recipes, and stored keys on demand.
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