pillow-heif

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Python bindings to libheif for working with HEIF images and plugin for Pillow.

Features:

  • Decoding of 8, 10, 12 bit HEIC files.
  • Encoding of 8, 10, 12 bit HEIC files.
  • EXIF, XMP, IPTC read & write support.
  • Support of multiple images in one file and a PrimaryImage attribute.
  • Adding & removing thumbnails.
  • Grid(tiled) image encoding, like Apple devices do.
  • Reading of Depth Images.
  • (beta) Reading of Auxiliary Images by johncf
  • Adding HEIF support to Pillow in one line of code as a plugin.

Note: The light version pi-heif of this project is discontinued, 1.4.0 is its final release.

Install

python3 -m pip install -U pip
python3 -m pip install pillow-heif

Example of use as a Pillow plugin

from PIL import Image
from pillow_heif import register_heif_opener

register_heif_opener()

im = Image.open("image.heic")  # do whatever need with a Pillow image
im = im.rotate(13)
im.save(f"rotated_image.heic", quality=90)

16 bit PNG to 10 bit HEIF using OpenCV

import cv2
import pillow_heif

cv_img = cv2.imread("16bit_with_alpha.png", cv2.IMREAD_UNCHANGED)
heif_file = pillow_heif.from_bytes(
    mode="BGRA;16",
    size=(cv_img.shape[1], cv_img.shape[0]),
    data=bytes(cv_img)
)
heif_file.save("RGBA_10bit.heic", quality=-1)

8/10/12 bit HEIF to 8/16 bit PNG using OpenCV

import numpy as np
import cv2
import pillow_heif

heif_file = pillow_heif.open_heif("image.heic", convert_hdr_to_8bit=False, bgr_mode=True)
np_array = np.asarray(heif_file)
cv2.imwrite("image.png", np_array)

Accessing decoded image data

import pillow_heif

if pillow_heif.is_supported("image.heic"):
    heif_file = pillow_heif.open_heif("image.heic", convert_hdr_to_8bit=False)
    print("image size:", heif_file.size)
    print("image mode:", heif_file.mode)
    print("image data length:", len(heif_file.data))
    print("image data stride:", heif_file.stride)

Get decoded image data as a Numpy array

import numpy as np
import pillow_heif

if pillow_heif.is_supported("input.heic"):
    heif_file = pillow_heif.open_heif("input.heic")
    np_array = np.asarray(heif_file)

Accessing Depth Images

from PIL import Image
from pillow_heif import register_heif_opener
import numpy as np

register_heif_opener()

im = Image.open("../tests/images/heif_other/pug.heic")
if im.info["depth_images"]:
    depth_im = im.info["depth_images"][0]  # Access the first depth image (usually there will be only one).
    # Depth images are instances of `class HeifDepthImage(BaseImage)`,
    # so work with them as you would with any usual image in pillow_heif.
    # Depending on what you need the depth image for, you can convert it to a NumPy array or convert it to a Pillow image.
    pil_im = depth_im.to_pillow()
    np_im = np.asarray(depth_im)
    print(pil_im)
    print(pil_im.info["metadata"])

More Information

Wheels

Wheels table macOS
Intel		 macOS
Silicon		 Windows* musllinux* manylinux*
CPython 3.10 ✅ ✅ ✅ ✅ ✅
CPython 3.11 ✅ ✅ ✅ ✅ ✅
CPython 3.12 ✅ ✅ ✅ ✅ ✅
CPython 3.13 ✅ ✅ ✅ ✅ ✅
CPython 3.14 ✅ ✅ ✅ ✅ ✅
CPython 3.14t ✅ ✅ ✅ ✅ ✅
CPython 3.15 ✅ ✅ ✅ ✅ ✅
CPython 3.15t ✅ ✅ ✅ ✅ ✅
PyPy 3.11 v7.3 ✅ ✅ ✅ N/A ✅

* x86_64, aarch64 wheels.

Project links

Data verified by PyPI on Sep 6, 2026
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Key dates

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  • Released:
Latest release

2 maintainers

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Avatar for andrey18106 from gravatar.com andrey18106 Avatar for bigcat88 from gravatar.com bigcat88

Credits

Author: Alexander Piskun

GitHub Statistics

Data verified by PyPI on Sep 6, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

BSD-3-Clause

Requires

Python >=3.10

Provides Extra

docs tests-min tests dev

Tags

heif heic pillow

Classifiers

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Release history Release notifications | RSS feed

This release

1.7.0 This release

70 files

1.6.0

70 files

1.5.0

54 files

1.4.0

48 files

1.3.0

48 files

1.2.1

41 files

1.2.0

41 files

1.1.1

53 files

1.1.0

53 files

1.0.0

46 files

0.22.0

46 files

0.21.0

46 files

0.20.0

46 files

0.18.0

52 files

0.17.0

46 files

0.16.0

51 files

0.15.0

51 files

0.14.0

51 files

0.13.1

51 files

0.13.0

46 files

0.12.0

49 files

0.11.1

50 files

0.10.1

50 files

0.10.0

48 files

0.9.3

20 files

0.9.2

20 files

0.9.1

20 files

0.9.0

20 files

0.8.0

20 files

0.7.2

19 files

0.7.1

19 files

0.7.0

19 files

0.6.1

19 files

0.6.0

19 files

0.5.1

19 files

0.5.0

19 files

0.4.0

50 files

0.3.2

49 files

0.3.1

49 files

0.3.0

49 files

0.2.5

49 files

0.2.4

49 files

0.2.3

49 files

0.2.2

49 files

0.1.11

49 files

0.1.10

47 files

0.1.5

23 files

0.1.4

16 files

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