View EXIF metadata for any PDB

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EXIF (Exchangeable Image File Format) is the block of capture metadata that cameras and phones embed into image files—exposure, lens, timestamps, even GPS—using a TIFF-style tag system packaged inside formats like JPEG and TIFF. It’s essential for searchability, sorting, and automation across photo libraries and workflows, but it can also be an inadvertent leak path if shared carelessly (ExifTool andExiv2 make this easy to inspect).

At a low level, EXIF reuses TIFF’s Image File Directory (IFD) structure and, in JPEG, lives inside the APP1 marker (0xFFE1), effectively nesting a little TIFF inside a JPEG container (JFIF overview;CIPA spec portal). The official specification—CIPA DC-008 (EXIF), currently at 3.x—documents the IFD layout, tag types, and constraints (CIPA DC-008;spec summary). EXIF defines a dedicated GPS sub-IFD (tag 0x8825) and an Interoperability IFD (0xA005) (Exif tag tables).

Packaging details matter. Typical JPEGs start with a JFIF APP0 segment, followed by EXIF in APP1; older readers expect JFIF first, while modern libraries happily parse both (APP segment notes). Real-world parsers sometimes assume APP order or size limits that the spec doesn’t require, which is why tool authors document quirks and edge cases (Exiv2 metadata guide;ExifTool docs).

EXIF isn’t confined to JPEG/TIFF. The PNG ecosystem standardized the eXIf chunk to carry EXIF in PNG (support is growing, and chunk ordering relative to IDAT can matter in some implementations). WebP, a RIFF-based format, accommodates EXIF, XMP, and ICC in dedicated chunks (WebP RIFF container;libwebp). On Apple platforms, Image I/O preserves EXIF when converting to HEIC/HEIF, alongside XMP and maker data (kCGImagePropertyExifDictionary).

If you’ve ever wondered how apps infer camera settings, EXIF’s tag map is the answer: Make, Model,FNumber, ExposureTime, ISOSpeedRatings, FocalLength, MeteringMode, and more live in the primary and EXIF sub-IFDs (Exif tags;Exiv2 tags). Apple exposes these via Image I/O constants like ExifFNumber and GPSDictionary. On Android, AndroidX ExifInterface reads/writes EXIF across JPEG, PNG, WebP, and HEIF.

Orientation, Time, and Other Gotchas

Orientation deserves special mention. Most devices store pixels “as shot” and record a tag telling viewers how to rotate on display. That’s tag 274 (Orientation) with values like 1 (normal), 6 (90° CW), 3 (180°), 8 (270°). Failure to honor or update this tag leads to sideways photos, thumbnail mismatches, and downstream ML errors (Orientation tag;practical guide). Pipelines often normalize by physically rotating pixels and setting Orientation=1(ExifTool).

Timekeeping is trickier than it looks. Historic tags like DateTimeOriginal lack timezone, which makes cross-border shoots ambiguous. Newer tags add timezone companions—e.g., OffsetTimeOriginal—so software can record DateTimeOriginal plus a UTC offset (e.g., -07:00) for sane ordering and geocorrelation (OffsetTime* tags;tag overview).

EXIF vs. IPTC vs. XMP

EXIF coexists—and sometimes overlaps—with IPTC Photo Metadata (titles, creators, rights, subjects) and XMP, Adobe’s RDF-based framework standardized as ISO 16684-1. In practice, well-behaved software reconciles camera-authored EXIF with user-authored IPTC/XMP without discarding either (IPTC guidance;LoC on XMP;LoC on EXIF).

Privacy & Security

Privacy is where EXIF gets controversial. Geotags and device serials have outed sensitive locations more than once; a canonical example is the 2012 Vice photo of John McAfee, where EXIF GPS coordinates reportedly revealed his whereabouts (Wired;The Guardian). Many social platforms remove most EXIF on upload, but behavior varies and changes over time—verify by downloading your own posts and inspecting them with a tool (Twitter media help;Facebook help;Instagram help).

Security researchers also watch EXIF parsers closely. Vulnerabilities in widely used libraries (e.g., libexif) have included buffer overflows and OOB reads triggered by malformed tags—easy to craft because EXIF is structured binary in a predictable place (advisories;NVD search). Keep your metadata libraries patched and sandbox image processing if you ingest untrusted files.

Practical Workflow Tips

  • Be deliberate about location: disable camera geotagging when appropriate, or strip GPS on export; keep a private original if you need the data later (ExifTool;Exiv2 CLI).
  • Normalize orientation and timestamps in pipelines, ideally writing physical rotation and removing ambiguous tags (or adding OffsetTime*). (Orientation;OffsetTime*).
  • Preserve descriptive metadata (credits/rights) by mapping EXIF↔IPTC↔XMP according to current IPTC guidance and prefer XMP for rich, extensible fields.
  • For PNG/WebP/HEIF, verify your libraries actually read/write the modern EXIF/XMP locations; don’t assume parity with JPEG (PNG eXIf;WebP container;Image I/O).
  • Keep dependencies updated; metadata is a frequent parser attack surface (libexif advisories).

Used thoughtfully, EXIF is connective tissue that powers photo catalogs, rights workflows, and computer-vision pipelines; used naively, it’s a breadcrumb trail you might not mean to share. The good news: the ecosystem—specs, OS APIs, and tools—gives you the control you need (CIPA EXIF;ExifTool;Exiv2;IPTC;XMP).

Further reading & references

Frequently Asked Questions

What is EXIF data?

EXIF, or Exchangeable Image File Format, data includes various metadata about a photo such as camera settings, date and time the photo was taken, and potentially even location, if GPS is enabled.

How can I view EXIF data?

Most image viewers and editors (such as Adobe Photoshop, Windows Photo Viewer, etc.) allow you to view EXIF data. You simply have to open the properties or info panel.

Can EXIF data be edited?

Yes, EXIF data can be edited using certain software programs like Adobe Photoshop, Lightroom, or easy-to-use online resources. You can adjust or delete specific EXIF metadata fields with these tools.

Is there any privacy risk associated with EXIF data?

Yes. If GPS is enabled, location data embedded in the EXIF metadata could reveal sensitive geographical information about where the photo was taken. It's thus advised to remove or obfuscate this data when sharing photos.

How can I remove EXIF data?

Many software programs allow you to remove EXIF data. This process is often known as 'stripping' EXIF data. There exist several online tools that offer this functionality as well.

Do social media sites keep the EXIF data?

Most social media platforms like Facebook, Instagram, and Twitter automatically strip EXIF data from images to maintain user privacy.

What types of information does EXIF data provide?

EXIF data can include camera model, date and time of capture, focal length, exposure time, aperture, ISO setting, white balance setting, and GPS location, among other details.

Why is EXIF data useful for photographers?

For photographers, EXIF data can help understand exact settings used for a particular photograph. This information can help in improving techniques or replicating similar conditions in future shots.

Can all images contain EXIF data?

No, only images taken on devices that support EXIF metadata, like digital cameras and smartphones, will contain EXIF data.

Is there a standard format for EXIF data?

Yes, EXIF data follows a standard set by the Japan Electronic Industries Development Association (JEIDA). However, specific manufacturers may include additional proprietary information.

What is the PDB format?

Palm Database ImageViewer Format

The PDB (Protein Data Bank) image format is not a traditional 'image' format like JPEG or PNG, but rather a data format that stores three-dimensional structural information about proteins, nucleic acids, and complex assemblies. The PDB format is a cornerstone of bioinformatics and structural biology, as it allows scientists to visualize, share, and analyze the molecular structures of biological macromolecules. The PDB archive is managed by the Worldwide Protein Data Bank (wwPDB), which ensures that the PDB data are freely and publicly available to the global community.

The PDB format was first developed in the early 1970s to serve the growing need for a standardized method of representing molecular structures. Since then, it has evolved to accommodate a wide range of molecular data. The format is text-based and can be read by humans as well as processed by computers. It consists of a series of records, each of which starts with a six-character line identifier that specifies the type of information contained in that record. The records provide a detailed description of the structure, including atomic coordinates, connectivity, and experimental data.

A typical PDB file begins with a header section, which includes metadata about the protein or nucleic acid structure. This section contains records such as TITLE, which gives a brief description of the structure; COMPND, which lists the chemical components; and SOURCE, which describes the origin of the biological molecule. The header also includes the AUTHOR record, which lists the names of the people who determined the structure, and the JOURNAL record, which provides a citation to the literature where the structure was first described.

Following the header, the PDB file contains the primary sequence information of the macromolecule in the SEQRES records. These records list the sequence of residues (amino acids for proteins, nucleotides for nucleic acids) as they appear in the chain. This information is crucial for understanding the relationship between the sequence of a molecule and its three-dimensional structure.

The ATOM records are arguably the most important part of a PDB file, as they contain the coordinates for each atom in the molecule. Each ATOM record includes the atom serial number, atom name, residue name, chain identifier, residue sequence number, and the x, y, and z Cartesian coordinates of the atom in angstroms. The ATOM records allow for the reconstruction of the three-dimensional structure of the molecule, which can be visualized using specialized software such as PyMOL, Chimera, or VMD.

In addition to the ATOM records, there are HETATM records for atoms that are part of non-standard residues or ligands, such as metal ions, water molecules, or other small molecules bound to the protein or nucleic acid. These records are formatted similarly to ATOM records but are distinguished to facilitate the identification of non-macromolecular components within the structure.

Connectivity information is provided in the CONECT records, which list the bonds between atoms. These records are not mandatory, as most molecular visualization and analysis software can infer connectivity based on the distances between atoms. However, they are crucial for defining unusual bonds or for structures with metal coordination complexes, where the bonding may not be obvious from the atomic coordinates alone.

The PDB format also includes records for specifying secondary structure elements, such as alpha helices and beta sheets. The HELIX and SHEET records identify these structures and provide information about their location within the sequence. This information helps in understanding the folding patterns of the macromolecule and is essential for comparative studies and modeling.

Experimental data and methods used to determine the structure are documented in the PDB file as well. Records such as EXPDTA describe the experimental technique (e.g., X-ray crystallography, NMR spectroscopy), while the REMARK records can contain a wide variety of comments and annotations about the structure, including details about data collection, resolution, and refinement statistics.

The END record signifies the end of the PDB file. It is important to note that while the PDB format is widely used, it has some limitations due to its age and the fixed column width format, which can lead to issues with modern structures that have a large number of atoms or require greater precision. To address these limitations, an updated format called mmCIF (macromolecular Crystallographic Information File) has been developed, which offers a more flexible and extensible framework for representing macromolecular structures.

Despite the development of the mmCIF format, the PDB format remains popular due to its simplicity and the vast number of software tools that support it. Researchers often convert between PDB and mmCIF formats depending on their needs and the tools they are using. The PDB format's longevity is a testament to its fundamental role in the field of structural biology and its effectiveness in conveying complex structural information in a relatively straightforward manner.

To work with PDB files, scientists use a variety of computational tools. Molecular visualization software allows users to load PDB files and view the structures in three dimensions, rotate them, zoom in and out, and apply different rendering styles to better understand the spatial arrangement of atoms. These tools often provide additional functionalities, such as measuring distances, angles, and dihedrals, simulating molecular dynamics, and analyzing interactions within the structure or with potential ligands.

The PDB format also plays a crucial role in computational biology and drug discovery. Structural information from PDB files is used in homology modeling, where the known structure of a related protein is used to predict the structure of a protein of interest. In structure-based drug design, PDB files of target proteins are used to screen and optimize potential drug compounds, which can then be synthesized and tested in the lab.

The PDB format's impact extends beyond individual research projects. The Protein Data Bank itself is a repository that currently contains over 150,000 structures, and it continues to grow as new structures are determined and deposited. This database is an invaluable resource for education, allowing students to explore and learn about the structures of biological macromolecules. It also serves as a historical record of the progress in structural biology over the past decades.

In conclusion, the PDB image format is a critical tool in the field of structural biology, providing a means to store, share, and analyze the three-dimensional structures of biological macromolecules. While it has some limitations, its widespread adoption and the development of a rich ecosystem of tools for its use ensure that it will remain a key format in the foreseeable future. As the field of structural biology continues to evolve, the PDB format will likely be supplemented by more advanced formats like mmCIF, but its legacy will endure as the foundation upon which modern structural biology is built.

Supported formats

AAI.aai

AAI Dune image

AI.ai

Adobe Illustrator CS2

AVIF.avif

AV1 Image File Format

BAYER.bayer

Raw Bayer Image

BMP.bmp

Microsoft Windows bitmap image

CIN.cin

Cineon Image File

CLIP.clip

Image Clip Mask

CMYK.cmyk

Raw cyan, magenta, yellow, and black samples

CUR.cur

Microsoft icon

DCX.dcx

ZSoft IBM PC multi-page Paintbrush

DDS.dds

Microsoft DirectDraw Surface

DPX.dpx

SMTPE 268M-2003 (DPX 2.0) image

DXT1.dxt1

Microsoft DirectDraw Surface

EPDF.epdf

Encapsulated Portable Document Format

EPI.epi

Adobe Encapsulated PostScript Interchange format

EPS.eps

Adobe Encapsulated PostScript

EPSF.epsf

Adobe Encapsulated PostScript

EPSI.epsi

Adobe Encapsulated PostScript Interchange format

EPT.ept

Encapsulated PostScript with TIFF preview

EPT2.ept2

Encapsulated PostScript Level II with TIFF preview

EXR.exr

High dynamic-range (HDR) image

FF.ff

Farbfeld

FITS.fits

Flexible Image Transport System

GIF.gif

CompuServe graphics interchange format

HDR.hdr

High Dynamic Range image

HEIC.heic

High Efficiency Image Container

HRZ.hrz

Slow Scan TeleVision

ICO.ico

Microsoft icon

ICON.icon

Microsoft icon

J2C.j2c

JPEG-2000 codestream

J2K.j2k

JPEG-2000 codestream

JNG.jng

JPEG Network Graphics

JP2.jp2

JPEG-2000 File Format Syntax

JPE.jpe

Joint Photographic Experts Group JFIF format

JPEG.jpeg

Joint Photographic Experts Group JFIF format

JPG.jpg

Joint Photographic Experts Group JFIF format

JPM.jpm

JPEG-2000 File Format Syntax

JPS.jps

Joint Photographic Experts Group JPS format

JPT.jpt

JPEG-2000 File Format Syntax

JXL.jxl

JPEG XL image

MAP.map

Multi-resolution Seamless Image Database (MrSID)

MAT.mat

MATLAB level 5 image format

PAL.pal

Palm pixmap

PALM.palm

Palm pixmap

PAM.pam

Common 2-dimensional bitmap format

PBM.pbm

Portable bitmap format (black and white)

PCD.pcd

Photo CD

PCT.pct

Apple Macintosh QuickDraw/PICT

PCX.pcx

ZSoft IBM PC Paintbrush

PDB.pdb

Palm Database ImageViewer Format

PDF.pdf

Portable Document Format

PDFA.pdfa

Portable Document Archive Format

PFM.pfm

Portable float format

PGM.pgm

Portable graymap format (gray scale)

PGX.pgx

JPEG 2000 uncompressed format

PICT.pict

Apple Macintosh QuickDraw/PICT

PJPEG.pjpeg

Joint Photographic Experts Group JFIF format

PNG.png

Portable Network Graphics

PNG00.png00

PNG inheriting bit-depth, color-type from original image

PNG24.png24

Opaque or binary transparent 24-bit RGB (zlib 1.2.11)

PNG32.png32

Opaque or binary transparent 32-bit RGBA

PNG48.png48

Opaque or binary transparent 48-bit RGB

PNG64.png64

Opaque or binary transparent 64-bit RGBA

PNG8.png8

Opaque or binary transparent 8-bit indexed

PNM.pnm

Portable anymap

PPM.ppm

Portable pixmap format (color)

PS.ps

Adobe PostScript file

PSB.psb

Adobe Large Document Format

PSD.psd

Adobe Photoshop bitmap

RGB.rgb

Raw red, green, and blue samples

RGBA.rgba

Raw red, green, blue, and alpha samples

RGBO.rgbo

Raw red, green, blue, and opacity samples

SIX.six

DEC SIXEL Graphics Format

SUN.sun

Sun Rasterfile

SVG.svg

Scalable Vector Graphics

TIFF.tiff

Tagged Image File Format

VDA.vda

Truevision Targa image

VIPS.vips

VIPS image

WBMP.wbmp

Wireless Bitmap (level 0) image

WEBP.webp

WebP Image Format

YUV.yuv

CCIR 601 4:1:1 or 4:2:2

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