format

MOV

MOV is Apple's QuickTime container, standard in video editing and on iPhone.

Also known as QuickTime File Format.

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What is a MOV file?

Apple's multimedia container, closely related to MP4 and widely used for camera capture and professional editing.

Technical characteristics

Representation
binary
Compression
H.264, HEVC, ProRes
Lossy
Yes

History and origin

Introduced
1991
Created by
Apple

Compatibility

  • Windowspartial
  • macOSfull
  • Linuxpartial
  • iOSfull

Browsers: Safari.

Advantages of MOV

  • Supports ProRes and high-bit-depth editing codecs
  • Native on Apple hardware
  • Multiple tracks and timecode

Limitations to know about

  • Large ProRes files
  • Less portable than MP4

When to use MOV

  • iPhone recordings
  • Video editing masters
  • Screen captures

Convert MOV files

MOV to MP4 with the same codec is a remux and stays lossless.

MOV scores

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

Overall score

51/100

  • Openness score

    100
    • the core patents are old enough to have expired

    Confidence 39% · evidence coverage 40%

  • Archiving score

    78
    • it is a current, actively maintained format
    • it is actively maintained and current
    • the core patents are old enough to have expired

    Confidence 54% · evidence coverage 67%

  • Performance score

    74
    • smaller payloads mean less I/O and faster first paint
    • it compresses lossily, which produces much smaller files than lossless coding

    Confidence 71% · evidence coverage 100%

  • Longevity score

    71
    • it is actively maintained and current
    • it is a current, actively maintained format
    • it does not satisfy: mainstream applications ship support for it

    Confidence 58% · evidence coverage 75%

  • Streaming score

    62
    • lossy compression keeps the bitrate low enough to stream reliably
    • smaller payloads mean less I/O and faster first paint
    • it compresses lossily, which produces much smaller files than lossless coding
    • native browser support is incomplete or undocumented

    Confidence 61% · evidence coverage 100%

  • Web score

    51
    • smaller payloads mean less I/O and faster first paint
    • it compresses lossily, which produces much smaller files than lossless coding
    • native browser support is incomplete or undocumented
    • browsers cannot display it directly

    Confidence 63% · evidence coverage 83%

  • Photography score

    46
    • it compresses lossily, which produces much smaller files than lossless coding
    • each edit-and-save cycle compounds compression damage

    Confidence 60% · evidence coverage 44%

  • Compatibility score

    44
    • it converts into many other formats, which suits automated pipelines
    • native browser support is incomplete or undocumented
    • at least one mainstream platform needs extra software

    Confidence 64% · evidence coverage 100%

  • Editing score

    33
    • only a narrow set of applications handles it
    • each edit-and-save cycle compounds compression damage

    Confidence 56% · evidence coverage 63%

  • AI score

    22
    • smaller payloads mean less I/O and faster first paint
    • lossy artefacts add noise that models can learn by mistake
    • only a narrow set of applications handles it

    Confidence 57% · evidence coverage 71%

  • Printing score

    8
    • lossy artefacts become visible when the image is enlarged for print
    • only a narrow set of applications handles it

    Confidence 50% · evidence coverage 50%

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

  • Licensing100/100

    • Because the core patents are old enough to have expired.
  • Future-proofing83/100

    • Because it is actively maintained and current.
    • Because nothing in the graph supersedes it yet.
  • Decode performance78/100

    • Because smaller payloads mean less I/O and faster first paint.
    • Because mature formats benefit from hardware and SIMD-optimised decoders.
  • Compression efficiency69/100

    • Because it compresses lossily, which produces much smaller files than lossless coding.
    • Because it defines a documented compression scheme.
  • Printing suitability0/100

    • Because lossy artefacts become visible when the image is enlarged for print.
    • Because it does not satisfy: it is a page-description format built around fixed layout.
  • AI compatibility0/100

    • Because lossy artefacts add noise that models can learn by mistake.
    • Because it does not satisfy: wide library support means common data loaders can read it.
    • Because it does not satisfy: a flat single-image structure is what vision pipelines expect.
  • Browser compatibility33/100

    • Because native browser support is incomplete or undocumented.
  • Operating system compatibility33/100

    • Because at least one mainstream platform needs extra software.
  • Software compatibility33/100

    • Because only a narrow set of applications handles it.
  • Professional editing33/100

    • Because each edit-and-save cycle compounds compression damage.
    • Because it does not satisfy: professional applications read and write it.

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
83%
Verification status
verified
Last reviewed
2026-08-03
Verified facts
2

2 classified claims backed by 1 source.

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Sources and review status

Review status: verified · confidence 80%

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

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