Streaming Data with pypdf
In some cases you might want to avoid saving things explicitly as a file to disk, e.g. when you want to store the PDF in a database or AWS S3.
pypdf supports streaming data to a file-like object:
from io import BytesIO
# Prepare example
with open("example.pdf", "rb") as fh:
bytes_stream = BytesIO(fh.read())
# Read from bytes_stream
reader = PdfReader(bytes_stream)
# Write to bytes_stream
writer = PdfWriter()
with BytesIO() as bytes_stream:
writer.write(bytes_stream)
Writing a PDF directly to AWS S3
Suppose you want to manipulate a PDF and write it directly to AWS S3 without having
to write the document to a file first. We have the original PDF in raw_bytes_data
as bytes
and want to set my-secret-password
:
from io import BytesIO
import boto3
from pypdf import PdfReader, PdfWriter
reader = PdfReader(BytesIO(raw_bytes_data))
writer = PdfWriter()
# Add all pages to the writer
for page in reader.pages:
writer.add_page(page)
# Add a password to the new PDF
writer.encrypt("my-secret-password")
# Save the new PDF to a file
with BytesIO() as bytes_stream:
writer.write(bytes_stream)
bytes_stream.seek(0)
s3 = boto3.client("s3")
s3.write_get_object_response(
Body=bytes_stream, RequestRoute=request_route, RequestToken=request_token
)
Reading PDFs directly from cloud services
One option is to first download the file and then pass the local file path to PdfReader
.
Another option is to get a byte stream.
For AWS S3 it works like this:
from io import BytesIO
import boto3
from pypdf import PdfReader
s3 = boto3.client("s3")
obj = s3.get_object(Body=csv_buffer.getvalue(), Bucket="my-bucket", Key="my/doc.pdf")
reader = PdfReader(BytesIO(obj["Body"].read()))
To use with Google Cloud storage:
from io import BytesIO
from google.cloud import storage
# os.environ["GOOGLE_APPLICATION_CREDENTIALS"] must be set
storage_client = storage.Client()
blob = storage_client.bucket("my-bucket").blob("mydoc.pdf")
file_stream = BytesIO()
blob.download_to_file(file_stream)
reader = PdfReader(file_stream)