Skip to main content

Picwish Photo Enhancer

Project description

PicWish API for Python 🎨✨

Enhance, generate, and process images without tokens, accounts, or watermarks, and enjoy unlimited usage!

Features

  • AI Text-to-Image Generation: Create images from text prompts with customizable themes, sizes, and quality.
  • Image Enhancement: Improve image quality without watermark.
  • Background Removal: Remove background from images.
  • OCR (Optical Character Recognition): Extract text from images with support for multiple languages and various output formats.

Installation

To get started, install the picwish package using pip:

pip install picwish

Quick Examples 🚀

1. AI Text-to-Image Generation 🤖

Generate images based on a text prompt with customizable settings:

import asyncio
from picwish import PicWish, T2ITheme, T2IQuality, T2ISize

async def main():
    picwish = PicWish()

    # Generate images from text prompt
    results = await picwish.text_to_image(
        prompt='A girl',
        theme=T2ITheme.ANIME,
        size=T2ISize.FHD_1_1,
        batch_size=4,
        quality=T2IQuality.HIGH
    )

    for result in results:
        await result.download(f'{result.id}.png')

asyncio.run(main())

2. Image Enhancement

Enhance the quality of an image without a watermark:

import asyncio
from picwish import PicWish

async def main():
    picwish = PicWish()

    # Enhance an image
    enhanced_image = await picwish.enhance('/path/to/input.jpg')
    await enhanced_image.download('enhanced_output.jpg')

asyncio.run(main())

3. Background Removal

Remove the background from an image:

import asyncio
from picwish import PicWish

async def main():
    picwish = PicWish()

    # Remove background from an image
    background_removed_image = await picwish.remove_background('/path/to/input.jpg')
    await background_removed_image.download('background_removed_output.png')

asyncio.run(main())

4. OCR (Optical Character Recognition)

Extract text from images with support for multiple languages and output formats:

import asyncio
from picwish import PicWish, OCRFormat

async def main():
    picwish = PicWish()
    ocr_result = await picwish.ocr(
        'input.jpg',
        format=OCRFormat.TXT
    )
    print(await ocr_result.text())

    # -----------------
    # Download as PNG
    ocr_result = await picwish.ocr(
        'input.jpg',
        format=OCRFormat.PDF
    )
    print(await ocr_result.download('result.pdf'))

asyncio.run(main())

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

picwish-0.4.4.tar.gz (10.8 kB view details)

Uploaded Source

Built Distribution

picwish-0.4.4-py3-none-any.whl (11.3 kB view details)

Uploaded Python 3

File details

Details for the file picwish-0.4.4.tar.gz.

File metadata

  • Download URL: picwish-0.4.4.tar.gz
  • Upload date:
  • Size: 10.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.5

File hashes

Hashes for picwish-0.4.4.tar.gz
Algorithm Hash digest
SHA256 bcc22048eb0b381ec64807fb0481906068f66a91107aeea742b0bbba8147e959
MD5 aab6389af41bca1e69496b2d2ea5b148
BLAKE2b-256 920630bff3ff700223628410cc6e92bd84de1c758f242bec9f0a58fd1e61b2d2

See more details on using hashes here.

File details

Details for the file picwish-0.4.4-py3-none-any.whl.

File metadata

  • Download URL: picwish-0.4.4-py3-none-any.whl
  • Upload date:
  • Size: 11.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.5

File hashes

Hashes for picwish-0.4.4-py3-none-any.whl
Algorithm Hash digest
SHA256 ba1e5143f1f1e7b9d12597dec6e8fc99792e6d9298366de22b43de020c9ecd29
MD5 a5e0fbb1e16a84cb8b486f5e44be969c
BLAKE2b-256 6f88aa6dda45253c9f8d5f2ef68564c203fcc122104374929f01f999945ebbfc

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page