Framing recommendations

Generate a museum-grade frame proposal from an artwork image.

Upload a frontal image, dimensions and attribution context. ConfirmArt prepares a visual preview and a practical brief with profile, finish, glazing, liner, conservation notes and measurements a framer can review.

01

Upload

Provide a frontal image, dimensions, attribution, period and medium.

02

Generate

A prompt and technical recommendation are prepared for the artwork context.

03

Specify

The brief includes profile, finish, materials, glazing, mounting and dimensions.

04

Offer

Send the proposal to a registered framer who can accept the work.

What the framer receives

A visual direction supported by a technical work order.

The proposal is not only a styled image. It includes estimated period, attribution context, material logic, conservation constraints, glazing, liner or mat decisions and dimensions to verify before production.

Registered framers can receive these proposals directly, review the artwork context and decide whether to accept the job.

Frame proposal

Create a technical framing brief from an artwork image.

The client uploads a frontal image and context. ConfirmArt prepares a prompt and a practical framer brief covering aesthetics, estimated period, attribution, dimensions, materials, glazing and mounting requirements.

Client access

Create one proposal with email only, then sign in to continue.

Use Google Sign-In or ConfirmArt email access. Password resets are delivered through ConfirmArt mail.

Recommended. It avoids most email-verification delivery issues.
Optional framing contextArtist, period, movement and notes

Human authentication

ConfirmArt does not base attribution verdicts on A.I. classifier scores.

By classifier scores we mean A.I. systems that attempt to classify an artwork as authentic or non-authentic from images. ConfirmArt does not use those systems to make attribution verdicts.

ConfirmArt works with catalogues raisonnés, historic sale lists, exhibition inventories, art books and archival literature, including sources more than 100 years old. A.I. may support searches, charts, statistics and document organization, but the evidence is weighed by human review.