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Reduce PDF File Size Online

File size limits appear everywhere in modern digital life.

Works on any browser, no install needed

🔒

Reduces image-heavy and scanned PDFs significantly

No watermark added to output

Files never leave your device

Cost
Free forever
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In your browser
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Add this PDF Compressor to your website

Drop the PDF Compressor into any page — blog post, product docs, intranet, school portal — with a single line of HTML. Your visitors get the full tool, processed entirely in their browser. No backend, no uploads, no signup.

  • Files stay 100% in the visitor's browser
  • Responsive — adapts to any container width
  • Free forever, no API key needed

Embed code

<iframe
  src="https://www.fixtools.io/pdf/pdf-compressor?embed=1"
  width="100%"
  height="780"
  frameborder="0"
  style="border:0;border-radius:16px;max-width:900px;"
  title="PDF Compressor by FixTools"
  loading="lazy"
  allow="clipboard-write"
></iframe>

Attribution-friendly: a small "Powered by FixTools" link appears in the embed footer.

Why reducing PDF file size matters across different upload systems

Government portals, human resources platforms, and institutional document management systems frequently enforce file size limits that reflect the original design era of the platform rather than current average document sizes. A portal built in 2005 with a 2MB ceiling has often never been updated even as email resolution, scanner default settings, and presentation software have all increased average file sizes dramatically. A single exported Microsoft Word document with a company letterhead, an embedded chart, and one or two photographs can today reach 3MB to 5MB without any unusual content. A scanned two-page form at the default 300 DPI setting on a modern office multifunction printer reaches 2MB to 4MB per page. Understanding that these portal limits are infrastructure artefacts from an earlier era rather than deliberate user experience choices explains why they are so inconsistent across different services and why there is no simple universal rule for what size a document ought to be.

PDF file size is determined primarily by three factors: embedded image content, embedded font data, and document metadata. Images are by far the largest contributor to overall file size in the typical business document. A PDF exported from a design tool such as Adobe InDesign or Affinity Publisher with RGB photographs embedded at 300 DPI will have the same visual quality at 96 DPI for screen use, but the file size difference between these two embedding resolutions is roughly a ten times reduction in raw image data. PDF compression works by resampling embedded image pixels down to a lower DPI using JPEG or Flate encoding, which discards visual information that exceeds typical screen resolution and is therefore invisible during normal viewing. Simultaneously, unused font subsets and embedded colour profiles can be stripped, and redundant cross-reference table entries can be cleaned up to remove structural overhead.

The expected result of a compression pass depends heavily on the source content type of the document. A 10MB scanned PDF typically reduces to between 1.5MB and 3MB at medium compression because the original scanner DPI was far above what any screen needs. A 10MB presentation PDF with mixed text and images typically reduces to between 3MB and 5MB because the text content is already compact and only the images benefit from compression. A 10MB text-only PDF, which is unusual but does occur with documents containing many embedded fonts or large vector diagrams, may only reduce to between 7MB and 8MB because there is little image data to compress. For portals with very strict limits, combining a compression pass in FixTools with re-exporting the source document from the original application at a lower quality setting produces the smallest possible final file with the least quality loss.

There is a useful order of operations to remember when you want the maximum size reduction with the minimum quality cost. First, return to the source document in Microsoft Word, Google Docs, Canva, or whichever application created it, and re-export with the smallest file size or optimised for web setting. Second, remove any unnecessary content such as profile photographs that the portal does not require, blank reverse pages from scans, or duplicate content. Third, run the cleaned-up PDF through FixTools at medium compression and check the result. Fourth, only if medium compression is insufficient, try high compression. This stepped approach delivers the best output quality for the target size, whereas jumping straight to aggressive compression on an unoptimised source produces an unnecessarily degraded result.

How to use this tool

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Upload your PDF and select medium compression as the first pass. If the result is still above the portal limit, run a second pass at high compression or split the PDF into smaller sections first.

How It Works

Step-by-step guide to reduce pdf file size online:

  1. 1

    Open the PDF Compressor

    Visit the FixTools PDF Compressor page in any modern browser on desktop or mobile. The tool loads in a few seconds and requires no installation, no plugin, and no account creation. Once loaded, the compression functionality is available immediately without any further setup steps or permission prompts.

  2. 2

    Upload your PDF

    Drag your file onto the upload area from your file manager, or click the upload zone to open the system file picker and browse to the document. The file loads into browser memory rather than being uploaded to a remote server, so the load time depends only on disk speed rather than on internet connection speed.

  3. 3

    Select a compression level

    Choose medium compression for the majority of use cases, which provides a strong balance between file size reduction and image quality preservation. Select high compression if you need the maximum possible size reduction and the document content is tolerant of more aggressive image resampling, such as text-heavy reports with only decorative images.

  4. 4

    Compress the file

    Click the Compress PDF button and wait while the browser processes your document. Processing time scales with file size and page count, and a typical 10MB document compresses in five to twenty seconds on modern hardware. The browser tab remains usable during processing, although heavy use of other tabs may slow the compression.

  5. 5

    Download and check size

    Download the compressed output, check the file size against your target threshold in your file manager, and upload it to your portal or attach it to your email as needed. If the size is still above the threshold, return to the tool and run a second pass at a higher compression level or split the document into smaller sections.

Real-world examples

Common situations where this approach makes a real difference:

A recruitment consultant uploads candidate CVs to a legacy applicant tracking system that enforces a 3MB per-file ceiling. Incoming CVs from candidates who designed their CVs in Canva or exported from LinkedIn typically average 5MB to 8MB because of high-resolution profile photographs and embedded design elements. Medium compression in FixTools reduces each CV to between 1.2MB and 2.4MB, which fits comfortably within the portal limit. The files upload cleanly and the applicant tracking system indexes the text content correctly because the compression only affects embedded images and not the searchable text layer, which the system uses for keyword matching against job descriptions.

A freelance photographer attaches PDF invoices to client emails as a way of presenting work professionally. Each invoice includes a high-resolution studio logo at 300 DPI in the header and a small footer graphic, which together push the file to 6MB despite the actual invoice content being two pages of text. After compression in FixTools, the invoice drops to 800KB. Clients on mobile devices can now open the invoice inline in Gmail or Apple Mail rather than needing to download and open a separate PDF reader, which improves the speed with which they review and pay invoices and reduces follow-up time for the photographer.

A local council requires that planning application documents be uploaded individually with each file under 10MB to its planning portal. An architect submitting a new planning application has fifteen drawings exported from AutoCAD as separate PDFs, ranging from 8MB to 22MB depending on the complexity of each drawing. Medium compression in FixTools brings all fifteen drawings under 5MB while preserving the critical dimension annotations and hatching detail that remain vector-based and therefore unaffected by image compression. The planning officer can review each drawing quickly in the portal preview without download delays.

A doctoral student submitting a dissertation to a university institutional repository faces a 25MB per-file size limit. The 90-page dissertation, which includes forty embedded research figures generated in Matlab and a few photographs from fieldwork, weighs 31MB in its original PDF export from LaTeX. Medium compression in FixTools produces a 19MB submission that comfortably fits the repository limit. All figures remain legible at screen zoom because the Matlab vector exports are unaffected by image compression. The repository accepts the upload, the digital object identifier mints successfully, and the dissertation becomes publicly accessible the following day.

Pro tips

Get better results with these expert suggestions:

1

Check the source export quality first

Before applying any compression in FixTools, look at how the PDF was originally created and consider whether you can re-export from the source application with smaller default settings. A PDF exported from Microsoft Word at best quality, or from Canva at print resolution, embeds images at 150 to 300 DPI by default because those applications expect the document might be printed. Re-exporting the same document from the source at web or screen quality before applying FixTools compression gives a far smaller baseline file, which means the final compressed output is cleaner because less aggressive compression is needed to hit the target size.

2

Strip metadata for privacy and smaller size

PDFs often carry hidden metadata that contributes to file size without contributing to readability: author names from the original document creator, company names from the licensing of the source application, revision history showing every save event, embedded GPS coordinates from any photographs that were taken on a mobile device with location enabled, and editing software version strings. Compression naturally removes much of this metadata as part of the optimisation pass. If you are sharing externally and want to confirm that all metadata is fully stripped, check the document properties dialogue in your PDF reader after compression to verify the fields are empty.

3

Use page count as a guide for splitting strategy

If your attempt to reduce a PDF to a specific target size fails even after two compression passes, splitting the document is usually the right next step rather than running a third aggressive compression pass. Dividing a 60-page document into three 20-page parts and compressing each independently is faster than another full-document compression and produces a much better quality result, because the same target size is much easier to hit on a smaller starting document. The split parts can be uploaded separately if the portal accepts multiple files, or merged back together using the PDF Merger after compression if the final output needs to be a single file.

4

Keep the original file before reducing

Always retain the uncompressed original file in a safe location before sharing a reduced version with anyone else. Portals may later require you to re-upload the document for any reason, a recipient may request a higher quality version for printing or archival, or the compressed file may need to be digitally signed where the signing process requires the original file structure. Compression is a one-way process because you cannot recover image quality from a compressed output, so retaining the original is essential. Cloud storage or a dedicated archive folder on your computer works well for this purpose.

FAQ

Frequently asked questions

Reducing PDF file size involves several distinct technical operations that together produce a smaller output file. The compression process resamples embedded images to a lower pixel density, re-encodes them at a lower JPEG quality factor, removes unused embedded font data while keeping the fonts actually referenced in the document, strips metadata such as author names and editing history, and rewrites the internal cross-reference table more efficiently to remove structural overhead. Text and vector graphics are not affected because they are stored as mathematical data rather than as pixel grids. The document content, structure, and all readable text remain identical to the original after reduction.
For image-heavy or scanned PDFs the typical reduction at medium compression is between 50 and 80 percent of the original size. A 10MB scanned form can therefore reach between 1.5MB and 2.5MB without any visible quality loss at normal viewing distances. Text-only PDFs see smaller gains, typically between 5 and 20 percent, because the dominant content is already compactly stored as vector character data. PDFs with a mix of text and photographs typically see between 30 and 50 percent reduction at the medium compression setting, and aggressive high compression can push this to 60 to 70 percent at the cost of some image softening at close zoom.
The terms reducing and compressing are used interchangeably in essentially all contexts and both refer to the same underlying process of lowering file size by re-encoding image data, removing unnecessary metadata, and optimising internal structures. Some tools distinguish between compression which usually refers specifically to image re-encoding and optimisation which usually refers to metadata and structural cleanup, but the practical outcome is the same in both cases: a smaller file with the same visible content. FixTools applies both image compression and structural optimisation together as a single pass, so there is no need to choose between them.
Yes. Searchable text in a PDF is stored as vector character data alongside the visual rendering, not as pixel images, and compression targets only embedded bitmap images and structural metadata. If your PDF already contains a text layer that was either created digitally during the original export or added later via OCR processing on a scanned document, that text layer is fully preserved during compression. You can continue to search the reduced file using the find function in any PDF reader, copy and paste text from any page, and use the document with screen readers for accessibility. None of these capabilities is affected by the size reduction.
Not directly. The compression tool cannot modify the content of a password-locked PDF without the correct password because the encryption blocks access to the document structure and the embedded image streams that the compression code needs to process. The standard workflow is to first remove the password protection using a PDF unlock tool, then run the unlocked file through FixTools compression, and finally reapply password protection to the compressed output if needed using a separate PDF encryption tool. The compressed file will have all the same content as the original, just smaller and with a fresh password if you choose to reapply one.
You can compress a PDF multiple times in sequence, but each pass offers diminishing returns compared to the previous pass. If a PDF has already been compressed once, most of the embedded image data is already at a lower DPI and a lower JPEG quality factor, so a second pass has much less material to work with and compresses correspondingly less. Running more than two compression passes on the same file risks visible quality degradation without producing meaningful additional size reduction, because each pass applies a fresh round of JPEG lossy encoding that introduces small artefacts. If two passes are insufficient to reach your target size, splitting the file into smaller sections is the better strategy.
No. PDF form fields and AcroForm interactive elements are stored as separate annotation objects within the PDF document structure rather than as part of the visual content streams that compression operates on. The compression process does not modify form field definitions, validation scripts attached to fields, dropdown option lists, button widgets, or checkbox states. The reduced output file remains fully functional as a form that can be filled in, signed, and submitted in any PDF reader that supports interactive forms, including Adobe Acrobat Reader, Apple Preview, and the form-filling features in modern web browsers.
Yes. FixTools runs entirely in your browser using JavaScript that executes on your own device, and no file data is transmitted to any FixTools server or any other remote endpoint during the compression workflow. You can verify this claim independently by opening your browser developer tools, switching to the Network tab, and observing that no outbound file transfer request is made when you compress a PDF. Your document is loaded into browser memory using the standard FileReader API, processed locally by the compression code, and the output is generated as a browser download without any server communication of any kind.
FixTools typically outputs compressed files in PDF 1.4 or PDF 1.5 format depending on the input version and the compression settings used. These versions have been universally supported since the mid-2000s and are accepted by every modern PDF reader, web browser, and document management system. If your input PDF was a more recent version such as PDF 1.7 or PDF 2.0, the output will be compatible with more readers than the input because it uses an older more widely supported version of the standard. Any PDF-specific features that depend on newer versions, such as certain transparency effects, are translated into compatible equivalents during compression.
No, compression is a one-way process. Once a PDF has been compressed, the original image data at higher resolution is no longer present in the file and cannot be reconstructed from the compressed output. This is why retaining the original uncompressed file is important if there is any possibility that you might later need a higher quality version. FixTools does not delete or modify your original file during compression because the original file stays on your device throughout the process. The compressed file is generated as a new file alongside the original, so you keep both unless you explicitly delete the original yourself.

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