Extract EXIF from image in Python

100%

Extract EXIF from image in Python

✓ Published0🌍 Public

Last edited Aug 26, 2025

Created on Feb 13, 2025

This example demonstrates how to extract EXIF metadata from an image file in Python using the Pillow library. It first prints the raw image information and the EXIF bytes stored in the `info` dictionary, then iterates through the parsed EXIF tags with both the modern `getexif()` method and the deprecated `_getexif()` method. Each tag’s numeric key is translated to a human-readable name using `ExifTags.TAGS`, and the results are printed as key-value pairs. The code shows two equivalent API approaches for accessing the same metadata.

AI-generated description

Similar vizzes

Loading thumbnail…

Decode ComfyUI workflow into JSON (Provided by Claude 3.5 Sonnet v2)

This example decodes ComfyUI workflow data embedded in a PNG file and prints it as formatted JSON. The Python version uses Pillow’s `Image.open` and the `img.text` dictionary to extract the `workflow` text chunk, then `json.loads` parses it for pretty-printing. The shell script demonstrates an alternative using `exiftool` to retrieve the same embedded metadata directly from the image. The visualization shows the workflow structure as raw JSON, making the hidden prompt graph readable for inspection or further processing.

VVioletVivirand

55% match

Loading thumbnail…

Update Facebook Photos Export with EXIF data

This example restores missing creation metadata to photos exported from Facebook by rewriting EXIF, XMP, and IPTC tags. It reads each album’s JSON file from the `posts/album/` directory, extracts the photo URI and creation timestamp, and converts the Unix timestamp to a readable date. Using `pyexiv2`, it updates fields such as `Exif.Image.DateTime`, `Xmp.photoshop.DateCreated`, and `Iptc.Application2.Caption` with the original timestamp and photo title/description. The script processes all album JSON files in the folder, ensuring the exported images retain accurate capture dates.

KKevinGutowski

54% match

Loading thumbnail…

Image Magick Cheat Sheet - Fun and easy picture editing in Linux command lIne

This example is a cheat sheet for using ImageMagick from the Linux command line, presented as a Jupyter notebook. It demonstrates two common image-processing tasks: resizing an image while preserving its aspect ratio via the `convert` command with the `-resize` flag, and creating an animated GIF from a sequence of PNG files using `-delay` and `-loop` options. The code relies on the ImageMagick `convert` utility and includes links to external tutorials for reference.

PP3nny

43% match

Loading thumbnail…

Gist efe06cf99253646a0da41501d118459a

This example demonstrates a Python function that automatically adds watermarks and logos to images. It opens an input image, resizes a secondary watermark image to 70% of the image width and a logo to 15% of the width, then pastes the watermark at the center and the logo at the bottom-left corner using the PIL `Image.paste` method with alpha-channel masks. The process uses `Image.open` with `convert('RGBA')` to handle transparency, and finally saves the composited result in RGB format.

CCharlesFr

43% match

Loading thumbnail…

Generate image from drawing https://py.plainenglish.io/convert-a-photo-to-pencil-sketch-using-python-in-12-lines-of-code-4346426256d4

This example converts a photo into a pencil-sketch style image. It reads an input image file, transforms it through grayscale conversion, inversion, Gaussian blurring, and final blending to produce a sketch-like output saved as a new file. The code relies on OpenCV’s `cv2.imread`, `cv2.cvtColor`, `cv2.GaussianBlur`, and `cv2.divide` functions. It accepts a file path as a command-line argument and writes the result with a `_sketch` suffix, demonstrating a straightforward image-processing pipeline.

TThomasG77

42% match

Loading thumbnail…

How to use The Guardian's API to download article data for content analysis (in Python 3.x)

This example demonstrates how to perform content analysis on Guardian news articles by programmatically downloading article data through The Guardian’s open API. It shows the entire workflow, from constructing API queries with parameters like `from-date`, `to-date`, and `show-fields`, to parsing the returned JSON metadata and article bodies. The Python script uses the `requests` library to fetch paginated results into day-sized chunks, saving the raw JSON files locally for further analysis. The example also highlights the API’s response structure, including fields such as `wordcount`, `byline`, and full article HTML.

GGeorgeMcIntire

42% match

Loading thumbnail…

Gist 575a4d1a506d4f39d35f

This example presents a collection of Python code snippets for data manipulation with the pandas library, focusing on common DataFrame operations. It demonstrates techniques for filtering rows based on column values, handling missing data, renaming columns, and performing data type conversions. The snippets also cover more advanced operations like pivot tables, merging delimited values, and using `pd.melt` for reshaping data. The code includes functions like `df.column_name.unique()`, `pd.pivot_table`, and `df.assign` to illustrate practical workflows for cleaning and transforming tabular data.

SSav10

40% match

Loading thumbnail…

Python See Docstring

This example demonstrates how to quickly inspect and clean up a Python function’s docstring using built-in string methods. It shows the raw `__doc__` attribute, its line-by-line split via `splitlines()`, and a trimming step for better formatting. The code targets functions like `matplotlib.pyplot.plt.__doc__`, relying on Python’s standard docstring conventions from PEP 257. No external libraries are used; the example focuses on manipulating the docstring text directly.

WWilliamQLiu

40% match