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Anonymizing Photos for Peer Review: A Guide for Academic Researchers

Double-blind peer review depends on submissions being truly anonymous. Your figure files often carry your name, institution, and software fingerprints.

2026-05-18 · 8 min read

Double-blind peer review is one of the foundational mechanisms of modern science. The idea is simple: reviewers evaluate the work, not the author. To make that work, journals and conferences ask authors to remove identifying information from their submissions. Most researchers carefully strip author names from the manuscript itself, cite their own prior work in the third person, and avoid mentioning their institution. Then they attach figures, photographs, and supplementary PDFs that quietly tell reviewers exactly who they are. Learning how to remove metadata from figures and supplementary files is a small but meaningful step in honoring the spirit of blind review.

This guide is written for researchers, graduate students, journal editors, and conference chairs who want submissions to be as anonymous in practice as they are in principle.

What Identifies You in a Submission

The manuscript text is the obvious place reviewers look for identity clues. The less obvious places are the file properties of every attachment.

A microscopy image exported from your lab's analysis software often contains the operator name, the workstation hostname, the institution license, and sometimes the file path on your shared drive. A figure exported from Adobe Illustrator may include the author name registered to your Creative Cloud license. A supplementary PDF generated from LaTeX through a personal Overleaf account may include your account name in the producer field. A photograph taken in the field may include GPS coordinates that pinpoint your study site or your institution.

Even the file names themselves can give you away. "Figure3_SmithLab_v4.png" makes the author obvious before any reviewer opens the file.

Why This Matters for Review Integrity

The point of blind review is not to make detection impossible for a determined reviewer. A reviewer who knows the field can often guess the author from writing style, methodology, or citation patterns. The point is to remove the casual identifying signals that bias even well-intentioned reviewers. Studies on peer review consistently show that reviewers rate work differently when they know who wrote it, particularly when the author is junior, female, or from a less prestigious institution. Stripping metadata is one of the easiest ways to support a fairer process.

There is also a personal interest at stake. If your submission is rejected, you may prefer that reviewers cannot easily forward the file to colleagues with your name attached. Clean metadata gives you more control over how your unpublished work circulates.

A Practical Workflow for Anonymizing Submissions

The workflow has three parts: rename, scrub, and verify.

Rename the files to neutral, descriptive names. "Figure_1_western_blot.png" is fine. "Figure_1_SmithLab_2026.png" is not. Apply this to every attachment, including supplementary materials and source data.

Scrub each file before uploading.

• For images, strip EXIF and XMP data. This removes camera information, GPS coordinates, software fingerprints, and any author fields. Common formats including JPEG, PNG, and TIFF all carry metadata that needs to be cleaned.
• For PDFs, remove author, title, subject, keywords, producer, and creation date fields. Tools like Adobe Acrobat's Sanitize Document feature work. Free browser-based tools such as MetaCleanPro also work and have the advantage of processing files locally without uploading your unpublished data to a third-party server, which matters for unpublished research that may be subject to confidentiality or patent considerations.
• For Word documents used in supplementary materials, run Document Inspector and remove personal information, comments, and revision history.

Verify by reopening each file and inspecting the properties. On Windows, right-click and check Properties, Details. On Mac, use Get Info in Finder, or open the file in Preview and view the Inspector. Confirm there is nothing identifying.

Specific Tips for Common Research Tools

Microscopy and imaging software such as Zeiss ZEN, Leica LAS X, Nikon NIS-Elements, and Olympus cellSens all embed operator and instrument information in exported images. Check the export settings to see whether you can suppress this metadata at the source. If not, run the exported file through a stripping tool before adding it to your submission.

Statistical and plotting tools such as R, Python with Matplotlib, MATLAB, and GraphPad Prism generally produce cleaner output, but the PDF or PNG output may still include a creator string that identifies the software version, which can occasionally narrow down the author. Strip it to be safe.

Reference management software such as EndNote, Zotero, and Mendeley can embed account information in exported bibliographies. Export to a plain format and inspect the result.

Collaborative platforms such as Overleaf and Google Docs embed account names in the document author field when exporting. Always rerun a metadata strip after exporting from a collaborative tool.

What About Field Photographs and Site Data

For researchers in ecology, geology, archaeology, and field biology, photographs of study sites can include GPS coordinates that identify sensitive or protected locations. In some cases, this is a real conservation concern: published coordinates have been used to locate and poach rare species. In other cases, it is simply a privacy issue for landowners who gave you access. Strip GPS data from field photos before publication, and consider whether to include site coordinates in the manuscript at all.

Frequently Asked Questions

Will removing metadata from a figure reduce its image quality?

No. Metadata is stored separately from pixel data. Removing it does not change the visible image. The file will be slightly smaller, but the resolution and color information are untouched.

Should I anonymize figures even for single-blind review?

Single-blind review reveals the author to reviewers by design, so anonymization is less critical. However, scrubbing metadata is still good practice because submissions can be forwarded, shared, or stored in ways that you cannot anticipate.

How do I check whether my file still contains identifying metadata?

Open the file's properties in your operating system, or use a free EXIF viewer. Look for fields including author, creator, producer, software, GPS coordinates, and any custom fields. If anything could identify you, strip it again.

Conclusion

Blind review only works when submissions are actually blind. Manuscript text is the most visible layer of identification, but figure files, supplementary PDFs, and field photographs all carry their own quiet signals. A short scrubbing routine before each submission protects the integrity of the review process and supports a fairer scientific community. To remove metadata from figures and supplementary files quickly and privately, with no upload to a third-party server, use the free browser tool at MetaCleanPro. Your reviewers will judge the work on its merits, which is exactly what peer review is supposed to be.

Try MetaClean Pro free — remove metadata from your files in seconds.