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AmazonTextractPDFLoader documentation updates (#9415)

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Description: Updating documentation to add AmazonTextractPDFLoader
according to
[comment](https://github.com/langchain-ai/langchain/pull/8661#issuecomment-1666572992)
from [baskaryan](https://github.com/baskaryan)

Adding one notebook and instructions to the
modules/data_connection/document_loaders/pdf.mdx

---------

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
This commit is contained in:
Martin Schade
2023-08-21 01:40:15 +02:00
committed by GitHub
parent 08feed3332
commit 0c8a88b3fa
2 changed files with 893 additions and 1 deletions
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16
docs/snippets/modules/data_connection/document_loaders/how_to/pdf.mdx
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@@ -1,4 +1,4 @@
## Using PyPDF
# Using PyPDF
Load PDF using `pypdf` into array of documents, where each document contains the page content and metadata with `page` number.
@@ -389,3 +389,17 @@ data[0]
```
</CodeOutputBlock>
## Using AmazonTextractPDFParser
The AmazonTextractPDFLoader calls the [Amazon Textract Service](https://aws.amazon.com/textract/) to convert PDFs into a Document structure. The loader does pure OCR at the moment, with more features like layout support planned, depending on demand. 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](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html) 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.
```python
from langchain.document_loaders import AmazonTextractPDFLoader
loader = AmazonTextractPDFLoader("example_data/alejandro_rosalez_sample-small.jpeg")
documents = loader.load()
```