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fit.

Reads photos of your clothes into a digital wardrobe, then an assistant assembles outfits from pieces you already own.

Actively maintained

At a glanceswept Oct 18, 2026

37 linking domains

Emerging

For
People deciding what to wear from clothes they already own, photographed into a digital wardrobe.
Activity
Actively maintainedsite updated 2 weeks ago
Runs as
Mobile app
Used for
  • build an outfit from clothes already in your wardrobe
  • check which shoes are missing for an outfit
  • preview a look on your own photo before wearing it
Worth knowingcomputed from what we read · each with its source
  • Launched on Product Hunt on Aug 27, 2026Product Hunt ↗
Your datawhat they publish, each line with its page · read Oct 22, 2026

“We do not use your photos to train machine-learning models.”

privacy policy ↗

These are fit.'s own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.

Alternatives in Creative & mediaby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Questions this page answers
  • What is fit.?

    Reads photos of your clothes into a digital wardrobe, then an assistant assembles outfits from pieces you already own. It is listed in the Atlas under Creative & media.

  • Who is fit. for?

    People deciding what to wear from clothes they already own, photographed into a digital wardrobe.

  • Do people use fit.?

    Emerging.

  • Is fit. still maintained?

    Actively maintained: site updated 2 weeks ago.

  • Does fit. train AI on your data?

    No, per its privacy policy (2026-10-22): “We do not use your photos to train machine-learning models.”

  • Is fit. safe?

    We do not audit vendors. What fit. publishes, read 2026-10-22: on training with your data, “We do not use your photos to train machine-learning models.”.

  • What are alternatives to fit.?

    In Creative & media, by use: Stylegenai, Nenis, GetItDone, TraderWAI, snapWONDERS, Check.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk