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JPG to PDF

Convert images to a beautiful PDF.

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Images · JPG or PNG

About JPG to PDF

JPG is the format your camera and phone produce, and PDF is the format institutions accept. Converting between them is the single most common step between taking a photo of a document and actually submitting it.

Each JPG becomes one page, in the order you arrange them, with the layout controls you need to keep the result looking like a document rather than a photo album.

How to use JPG to PDF

  1. Step 1

    Upload your JPGs

    Select one or many JPG/JPEG files.

  2. Step 2

    Arrange and set layout

    Order the images and pick page size, fit mode and margin.

  3. Step 3

    Download the PDF

    Save the finished multi-page document.

When it helps

  • Sending photographed documents to a bank or landlord as one PDF.
  • Filing camera scans of handwritten notes.
  • Packaging holiday or event photos for printing.
  • Attaching proof-of-delivery photos to an invoice.

Good to know

  • JPG is already compressed; converting does not re-compress the photo, so the PDF can be larger than the sum of the images.
  • Photos taken at an angle look better if you crop them square in your phone's gallery before converting.

JPG to PDF: frequently asked questions

What actually happens during a file conversion

Lossless, lossy and structural conversion

Conversions fall into three families. A lossless change rewrites the container while keeping every bit of image data — PNG to a PDF wrapper, for instance. A lossy change re-encodes pixels and discards detail the eye is unlikely to notice, which is how JPEG and WebP achieve their size advantage. A structural change reinterprets the document model itself, as when a page description becomes editable paragraphs.

Only the third family can genuinely go wrong, because it involves inference rather than copying. Knowing which family your conversion belongs to sets a realistic expectation for the result before you start.

Why layout shifts when a PDF becomes a document

A PDF stores glyph positions, not paragraphs. Reconstructing a Word document means grouping thousands of positioned characters back into lines, lines into paragraphs, and aligned blocks into tables — an inference from geometry. Straightforward reports reconstruct almost perfectly; multi-column magazine layouts, floating text boxes and hand-drawn table borders are where guesses become visible.

The practical workflow is to convert, then spend two minutes fixing headings and table edges, which is still far quicker than retyping. Where a document must stay pixel-identical, keep the PDF and edit it directly instead.

Colour, resolution and DPI in image conversions

PDF pages are resolution-independent vector descriptions, so exporting one as an image requires choosing a rendering resolution. 150 DPI suits screen reading, 300 DPI is the usual print standard, and going far beyond that mostly inflates the file. Going the other way, an image placed into a PDF keeps its pixel count; its printed size is simply that count divided by the DPI you assign.

Colour space is the second variable. Screens work in RGB while commercial presses expect CMYK, and the conversion between them cannot represent every colour in either direction. Vivid RGB blues and greens are the ones that most noticeably dull when a file is prepared for print.

Common problems and fixes

Converted text is missing or comes out as gibberish
The source is a scan, so the page contains a picture of text and no character data. Run OCR first to generate a real text layer, then convert.
Tables lose their structure
Tables drawn with alignment rather than ruled borders give the converter nothing to detect. Expect to reapply table formatting, or export to plain text and rebuild the grid.
The output image looks soft or pixelated
Raise the export resolution before converting. Enlarging the exported image afterwards cannot recover detail that was never rendered.

Terms worth knowing

DPI
Dots per inch — how many pixels are rendered for each inch of page. 300 DPI is the common print baseline.
Lossy compression
Encoding that permanently discards some image data to reduce file size, as used by JPEG and WebP.
Text layer
Invisible, selectable characters positioned over a scanned page image so it can be searched and copied.

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