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ID Photo Maker

Free online ID photo maker with China 1 inch, 2 inch, China visa, 2 x 2 inch, and custom sizes, with AI background removal, face framing, background colors, drag, and zoom

ID photo editor

25 x 35 mm/295 x 413 px/Waiting for face detection

Background color

100%

About this tool

The ID photo maker separates the subject and lays it out at a preset or custom millimeter size, 300 DPI, and selected background color. Automatic face detection provides an initial position, while drag and zoom controls let you place the crown, chin, and shoulders at the required proportions.

Countries, agencies, and application types have different rules for dimensions, head size, eye position, clothing, background, and photo age. This tool assists with technical cropping and export; it does not certify acceptance by a passport, visa, exam, or identity authority.

How to use it

  1. Upload a front-facing portrait

    Use an evenly lit, sharp photo with unobstructed facial features and adequate resolution.

  2. Choose a specification and compose

    Select size and background, then move or scale the subject according to the official head-position rules.

  3. Review before export

    Check pixel dimensions, background edges, facial detail, and format, then validate the file limits in the application system.

Supported range and limits

Built-in sizes
Common formats including Chinese 1-inch and 2-inch, visa photo and 2 x 2 inch, plus a custom option
Pipeline
Remove the background, auto-compose to the chosen format, then apply a backdrop colour
Adjustable
Backdrop colour, and the subject's position and scale within the frame for manual fine-tuning
Typical backdrops
White, blue and red; the requirement comes from the receiving authority, and this tool represents no official standard
What it does not do
No retouching, no facial modification, no expression changes; the portrait is unaltered
Will it be accepted
That depends on the authority's rules for size, backdrop, face proportion and clothing; check their published guidance first

When you would use it

  • Creating an application photo

    Generate a JPG at the required physical or pixel dimensions while keeping within the upload size limit.

  • Preparing a résumé portrait

    Standardize background and composition for an online profile or company directory.

  • Producing an ID photo at short notice

    With only an ordinary photo to hand, background removal, backdrop colour and framing happen in one pass instead of a trip to a studio.

What to know before you start

  • Passport and visa rules vary by country and application type. Follow the current specification published by the receiving authority.
  • Automatic background and face detection can misread hair, glasses, or shoulders, so inspect the result at high zoom.
  • A changed background cannot correct blur, closed eyes, heavy shadows, or prohibited retouching in the source photo.

Related concepts

DPI
Dots per inch, used to convert a physical millimeter size to pixels; this tool renders at 300 DPI.
head ratio
Head height relative to the complete photo height, commonly constrained by identity-photo specifications.

Frequently asked questions

Does ID photo generation upload my photo?
No. Image decoding, AI background removal, framing, and export all run locally in your browser. Files are not uploaded to a server. The browser may download open-source model assets on first use.
Which ID photo sizes are supported?
Built-in presets include China 1 inch, China 2 inch, China visa, 2 x 2 inch, EU / Schengen, Japan passport, and a custom millimeter-based canvas size.
What if the automatic face framing is not exact?
The tool tries to detect the face and place the head near the 50% to 70% reference range. If face detection is unavailable, it falls back to the foreground subject bounds, and you can still drag and zoom manually.
Will the result definitely be accepted?
Not necessarily. Requirements for size, backdrop, how much of the frame the face fills, whether ears must show, clothing and expression differ by authority, and this tool represents none of them. Read the official guidance first and adjust against it.
Why do the edges look harsh?
The backdrop swap depends on the segmentation result. When the original background is close in colour to the subject or their clothing, edge detection suffers. A clean, evenly lit background that contrasts with the clothing gives a much better result.

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