AmazonTextractPDFParser

Send PDF files to Amazon Textract and parse them.

For parsing multi-page PDFs, they have to reside on S3.

The AmazonTextractPDFLoader calls the Amazon Textract Service to convert PDFs into a Document structure. Single and multi-page documents are supported with up to 3000 pages and 512 MB of size.

For the call to be successful an AWS account is required, similar to the AWS CLI requirements.

Besides the AWS configuration, it is very similar to the other PDF loaders, while also supporting JPEG, PNG and TIFF and non-native PDF formats.

from langchain_community.document_loaders import AmazonTextractPDFLoader
loader=AmazonTextractPDFLoader("example_data/alejandro_rosalez_sample-small.jpeg")
documents = loader.load()

One feature is the linearization of the output. When using the features LAYOUT, FORMS or TABLES together with Textract

from langchain_community.document_loaders import AmazonTextractPDFLoader
# you can mix and match each of the features
loader=AmazonTextractPDFLoader(
    "example_data/alejandro_rosalez_sample-small.jpeg",
    textract_features=["TABLES", "LAYOUT"])
documents = loader.load()

it will generate output that formats the text in reading order and try to output the information in a tabular structure or output the key/value pairs with a colon (key: value). This helps most LLMs to achieve better accuracy when processing these texts.

Document objects are returned with metadata that includes the source and a 1-based index of the page number in page. Note that page represents the index of the result returned from Textract, not necessarily the as-written page number in the document.