PDF

A fixed-layout document format that embeds fonts, vector artwork and images so a page looks the same on every device and printer.

PDF describes pages using a subset of PostScript, embedding the resources needed to render them. That self-containment is why it dominates contracts, invoices and print production, and also why editing a PDF is harder than editing the source document.

Representation

binary

Compression

Deflate, JPEG, JBIG2

Lossy

No

Open specification

Yes

Encryption support

Yes

Introduced

1993

Created by

Adobe

1. 1993PDF 1.0 released with Acrobat
2. 2008Published as the open ISO 32000-1 standard
3. 2017PDF 2.0 (ISO 32000-2)

• Windowsfull
• macOSfull
• Linuxfull
• Androidfull
• iOSfull

Browsers: Chrome, Firefox, Safari, Edge.

Applications: Acrobat, Preview, Word 2013+, Google Drive.

• Layout is guaranteed identical everywhere
• Digital signatures and encryption
• Universal reader support

• Awkward to edit
• Scanned PDFs need OCR before text is searchable
• Poor reflow on small screens

• Contracts and invoices
• Print-ready artwork
• Forms
• Academic papers

• Assuming a scanned PDF contains selectable text
• Emailing uncompressed print PDFs

PDF to Word is a reconstruction, not a lossless conversion — complex layouts, columns and tables often need cleanup.

• PDF to DOCX
• PDF to TXT
• PDF to PNG
• PDF to JPG
• PDF to HTML
• PDF to EPUB

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

• 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.

• Printing suitability100/100

  • Because lossless data means no compression artefacts appear at print resolution.
  • Because it is a page-description format built around fixed layout.

• 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.

• 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 layers stay editable instead of being flattened.
  • 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.

• AI compatibility86/100

  • 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.

• 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.

• Compression efficiency23/100

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

• Decode performance33/100

  • Because large lossless payloads cost bandwidth and memory.
  • Because it does not satisfy: a flat structure decodes in one pass.