format

SVG

SVG is an XML vector format that stays sharp at any size.

Also known as Scalable Vector Graphics.

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What is a SVG file?

A text-based vector format describing shapes, paths and text, rendered natively by browsers at any resolution.

Technical characteristics

Representation
text
Encoding
UTF-8 XML
Lossy
No
Transparency
Yes
Animation
Yes
Open specification
Yes

History and origin

Introduced
2001
Organisation
W3C

Compatibility

  • Windowsfull
  • macOSfull
  • Linuxfull
  • Androidfull
  • iOSfull

Browsers: Chrome, Firefox, Safari, Edge.

Applications: Illustrator, Inkscape, Figma, Affinity Designer.

Advantages of SVG

  • Resolution independent
  • Tiny files for icons and logos
  • Styleable and animatable with CSS

Limitations to know about

  • Unsuitable for photographs
  • Can embed scripts, so untrusted SVGs need sanitising

When to use SVG

  • Logos
  • Icons
  • Charts and diagrams

Convert SVG files

Rasterising an SVG fixes its resolution — choose the largest size you will ever display before converting.

SVG scores

Deterministic scores calculated from the structured facts above. Identical facts always produce identical scores.

Overall score

87/100

  • Editing score

    100
    • lossless data survives repeated open-edit-save cycles without degrading
    • it is lossless, so decoding returns the original pixels exactly
    • a broad range of applications read and write it

    Confidence 48% · evidence coverage 88%

  • Openness score

    100
    • the specification is published openly
    • an openly specified format can be implemented without a licence negotiation

    Confidence 90% · evidence coverage 100%

  • Archiving score

    97
    • the specification is public, so a decoder can always be rebuilt
    • the specification is published openly
    • it is actively maintained and current
    • an openly specified format can be implemented without a licence negotiation

    Confidence 90% · evidence coverage 89%

  • Compatibility score

    97
    • every major browser engine renders it natively
    • Windows, macOS, Linux, Android and iOS all open it without extra software
    • a broad range of applications read and write it
    • an open specification means cloud SDKs can implement it without licensing friction

    Confidence 82% · evidence coverage 100%

  • Longevity score

    96
    • it is actively maintained and current
    • the specification is published openly
    • the specification is public, so a decoder can always be rebuilt
    • it sits at the centre of the format ecosystem, with many documented relationships

    Confidence 89% · evidence coverage 100%

  • AI score

    92
    • open specifications are implemented by the open-source decoders that ML stacks rely on
    • the specification is published openly
    • a broad range of applications read and write it
    • large lossless payloads cost bandwidth and memory

    Confidence 73% · evidence coverage 100%

  • Printing score

    88
    • it is lossless, so decoding returns the original pixels exactly
    • lossless data means no compression artefacts appear at print resolution
    • a broad range of applications read and write it

    Confidence 50% · evidence coverage 88%

  • Photography score

    82
    • it is lossless, so decoding returns the original pixels exactly
    • lossless data survives repeated open-edit-save cycles without degrading
    • it opens by double-clicking on every mainstream device
    • it stores data losslessly, so files stay large

    Confidence 46% · evidence coverage 78%

  • Web score

    66
    • every major browser engine renders it natively
    • browsers render it natively, so no conversion step is needed at request time
    • it supports transparency
    • the specification is published openly
    • it stores data losslessly, so files stay large
    • large lossless payloads cost bandwidth and memory

    Confidence 73% · evidence coverage 100%

  • Streaming score

    37
    • every major browser engine renders it natively
    • it stores data losslessly, so files stay large
    • large lossless payloads cost bandwidth and memory

    Confidence 64% · evidence coverage 63%

  • Performance score

    26
    • it stores data losslessly, so files stay large
    • large lossless payloads cost bandwidth and memory

    Confidence 60% · evidence coverage 100%

Every conclusion below is derived from the structured facts on this page — nothing is written by hand.

  • Transparency100/100

    • Because it supports transparency.
  • Animation100/100

    • Because it stores multiple frames, so animation is supported natively.
  • Browser compatibility100/100

    • Because every major browser engine renders it natively.
    • Because at least one shipping browser renders it.
  • Operating system compatibility100/100

    • Because Windows, macOS, Linux, Android and iOS all open it without extra software.
    • Because most platforms handle it natively.
  • Software compatibility100/100

    • Because a broad range of applications read and write it.
    • Because several mainstream applications support it.
  • Cloud compatibility100/100

    • Because an open specification means cloud SDKs can implement it without licensing friction.
    • Because it converts into many other formats, which suits automated pipelines.
  • AI compatibility100/100

    • Because open specifications are implemented by the open-source decoders that ML stacks rely on.
    • Because lossless pixels avoid compression artefacts leaking into training data.
    • Because wide library support means common data loaders can read it.
  • Long-term archiving100/100

    • Because the specification is public, so a decoder can always be rebuilt.
    • Because lossless storage preserves the original data for future migrations.
    • Because it is a current, actively maintained format.
  • Professional editing100/100

    • Because lossless data survives repeated open-edit-save cycles without degrading.
    • Because professional applications read and write it.
  • Open standards100/100

    • Because the specification is published openly.
    • Because an official specification document is publicly reachable.
  • Licensing100/100

    • Because an openly specified format can be implemented without a licence negotiation.
    • Because the core patents are old enough to have expired.
  • Popularity100/100

    • Because it sits at the centre of the format ecosystem, with many documented relationships.
    • Because mainstream applications ship support for it.
    • Because every mainstream operating system handles it.
  • Future-proofing88/100

    • Because it is actively maintained and current.
    • Because open specifications outlive the companies that create them.
    • Because nothing in the graph supersedes it yet.
  • Everyday consumer usage75/100

    • Because it opens by double-clicking on every mainstream device.
    • Because it is a current format that people and services still expect.
  • Printing suitability71/100

    • Because lossless data means no compression artefacts appear at print resolution.
  • Compression efficiency0/100

    • Because it stores data losslessly, so files stay large.
    • Because its codec generation predates modern entropy coding and block partitioning.

File extensions

Media types

Created by

Compared with

Data quality

Every claim on this page is classified as a verified fact, a derived fact or an assumption.

Overall confidence
95%
Verification status
verified
Last reviewed
2026-08-03
Verified facts
2

2 classified claims backed by 1 source.

Sources and review status

Review status: verified · confidence 95%

Last reviewed 2026-08-03 (revision 1).