LibreAI / Image / TagPilot
// image · vavo/TagPilot

TagPilot

Privacy-first browser tool for tagging LoRA training datasets — no install

💎 Hidden gem★ 40 stars⑂ 6 forksMITupdated 2026-07
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

TagPilot is an open-source image project by vavo (vavo/TagPilot on GitHub). It has 40 GitHub stars and 6 forks, is released under the MIT license, and was last updated on GitHub on 24 July 2026.

Repository
vavo/TagPilot
GitHub stars
40
Forks
6
License
MIT
Last updated on GitHub
24 July 2026
Category
Image
Listing
Hidden gem — a shorter page for a lesser-known project
Official site
GitHub
// how it works

How it works

  1. Open TagPilot

    Load it in the browser — nothing to install.

  2. Drop in images

    Add your training set; files stay local.

  3. Tag and caption

    Generate captions and tags for each image.

  4. Crop and export

    Standardize sizes and export the dataset.

// features

Why people love it

Browser-based

No install, runs in the tab.

Auto captioning

AI-generated captions for training.

Cropping tools

Standardize dataset images.

Dataset management

Organize large training sets.

Privacy first

Images never leave your machine.

MIT licensed

Free for commercial use with attribution.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/vavo/TagPilot.git
    cd TagPilot
  2. Step 2 — Check the README

    Every project documents its own setup; start with install requirements.

    cat README.md | head -60
  3. Step 3 — Run it

    Follow the project's launch command — Docker, pip, npm, or a binary release.

    # see README for the exact launch command
// use cases

What you can build

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// faq

Questions, answered

Who maintains TagPilot?

It is an open-source project at vavo/TagPilot with 162 forks. Check the repo's contributors and recent commits to see how active maintenance is.

Is TagPilot free for commercial use?

MIT licensed — commercial use allowed with attribution.

Are my images private?

Yes — everything runs in the browser locally.

Which training does it target?

Stable Diffusion LoRA training datasets.

Do I need to install anything?

No — it is fully browser-based.

// keep exploring

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// alternatives

Alternatives in Image

The most-starred other Image projects in the LibreAI catalogue — the realistic shortlist if TagPilot is not the right fit.

Get TagPilot

Free and open — grab the source, star the repo, and start creating.