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GoogleLens is a Python library that allows you to perform image searches using Google Lens. You can upload images via URLs, file paths, or binary data and retrieve visual match results.
You can install the library via pip:
pip install GoogleLens
from googlelens import GoogleLens
# Initialize GoogleLens instance
lens = GoogleLens()
# Upload image from URL
url = "https://example.com/sample-image.jpg"
result_url = lens.upload_image(url)
# Extract and print visual match results
print("Results from URL search:")
print(result_url.extract_visual_results())
from googlelens import GoogleLens
# Initialize GoogleLens instance
lens = GoogleLens()
# Upload image from a file path
file_path = "path/to/sample-image.jpg"
result_file = lens.upload_image(file_path)
# Extract and print visual match results
print("Results from file search:")
print(result_file.extract_visual_results())
from googlelens import GoogleLens
# Initialize GoogleLens instance
lens = GoogleLens()
# Read image as bytes
with open("path/to/sample-image.jpg", "rb") as f:
image_bytes = f.read()
# Upload image using bytes
result_bytes = lens.upload_image(image_bytes)
# Extract and print visual match results
print("Results from bytes search:")
print(result_bytes.extract_visual_results())
You can also extract raw text from the Google Lens results, if available:
# Extract raw text from the Google Lens response
raw_text = result_url.extract_raw_text()
print("Raw text extracted from the response:")
print(raw_text)
GoogleLens
Main class to interact with Google Lens.
upload_image(image_input: Union[str, bytes]) -> GoogleLensResults
image_input
: Can be a URL (str), file path (str), or binary data (bytes).GoogleLensResults
Handles the parsing and extraction of useful data from the Google Lens response.
extract_visual_results() -> Dict[str, Union[None, Dict[str, str], List[Dict[str, str]]]]
extract_raw_text() -> List[str]
Feel free to submit issues or pull requests. Contributions are welcome!
This project is licensed under the MIT License.
FAQs
A library for interacting with the Aparat API
We found that GoogleLens demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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