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Create a blog or video outline

From my text reads headings, lists and topic sentences with no download. From a topic asks a small open model for a first draft. Either way you can reorder, indent and edit before exporting.

On-device model
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How to use

  1. Paste your text, Markdown or HTML and press Build outline, or switch to From a topic, download the model and enter the topic, audience and format.
  2. Edit the outline: reorder, indent, outdent, add or remove items with the buttons or keyboard shortcuts, within the depth limit.
  3. Copy or download it as Markdown, OPML (for outliners and mind-map apps) or plain text.

Worked example

The sample Markdown (a title, three sections, a list with one nested item and three paragraphs) becomes a 10-item outline within 3 levels; the nested list item is added when the depth limit is 4.

Supported formats and limits

InputPasted text, Markdown or HTML, Topic, audience, format, number of sections
OutputOutline as Markdown, OPML 2.0 or plain text
LimitsFrom my text needs no download and runs instantly. From a topic (and the optional heading tidy-up): The first use downloads the SmolLM2-360M-Instruct model from Hugging Face (about 390 MB for the CPU build, about 276 MB with WebGPU), cached afterwards. Fast with WebGPU; without it, expect a few words per second. Your text never leaves this tab.
EngineRule-based heading, list and topic-sentence extraction for your own text; SmolLM2-360M-Instruct (Apache-2.0) running in your browser with transformers.js in a Web Worker (WebGPU when available, otherwise WebAssembly on the CPU) for topics

Limitations

  • Outlines from a topic are starting points from a small model: they can be generic or repetitive, and facts it suggests must be checked.
  • Without WebGPU the model writes slowly; Stop keeps what it has written so far.
  • From my text finds structure from headings, numbering, lists and paragraphs; text without any of these gives a flat list of first sentences.

Questions

Is the topic outline written by AI?

Yes, by SmolLM2-360M-Instruct (Apache-2.0), downloaded once from Hugging Face (about 390 MB, or 276 MB with WebGPU) and run in your browser. Treat it as a starting point: it can be generic or repetitive, and any facts it suggests must be checked.

What if my text has no headings?

From my text uses headings, numbering, lists and paragraphs. Text without any of these gives a flat list of first sentences, which you can then indent and reorder.

Where can I use the OPML file?

OPML 2.0 is an outline format that many outliner and mind-map apps can import. Markdown and plain text are also available to copy or download.

Privacy

On-device model. Processing runs in this browser. The open-source model files are downloaded once from the model host (Hugging Face) and cached; your content is not uploaded.

  • Hugging Face: Only after you press Download model: requests for the model files (SmolLM2-360M-Instruct, about 390 MB, or 276 MB with WebGPU, only for From a topic or Tidy headings) from huggingface.co and its CDN, which see your IP address. Your text and files are never sent.

See the privacy policy for how toolsdocks handles data.