Paddle

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<Icon name="Blocks" aria-hidden="true" /> Bundles contain custom components that support specific third-party integrations with Langflow.

This page describes the components that are available in the Paddle bundle.

The PaddleOCR component calls the PaddleOCR AI Studio async Job HTTP API to process images and PDFs. It supports two task types:

• Document parsing: Layout-aware extraction into Markdown (PP-StructureV3, PaddleOCR-VL-1.6). Use this for PDFs, scanned documents, and content where reading order and structure matter.
• OCR: Plain text recognition in scan order (PP-OCRv5, PP-OCRv6). Use this for images with simple text content.

The component talks to the API over HTTP and does not require the paddleocr Python SDK.

Install the Paddle bundle

The Paddle bundle is included in the lfx-paddle Extension bundle, which is installed automatically as part of uv pip install langflow.

If you need to install it separately, run:

uv pip install lfx-paddle
uv run langflow run

To verify the bundle is loaded in your environment:

lfx extension list

Prerequisites

• A Baidu AI Studio access token.

PaddleOCR

The PaddleOCR component uploads one or more image or PDF files to the PaddleOCR AI Studio Job API, polls until each job completes, and returns the extracted text.

Supported file types: png, jpg, jpeg, bmp, tiff, webp, and pdf.

It outputs a Table with one row per processed file. Each row includes fields such as text, file_path, task_type, output_format, model, job_id, and pages.

• For document parsing, text is Markdown and output_format is markdown.
• For OCR, text is plain text and output_format is plain_text.

Use the PaddleOCR component in a flow

1. Get an access token from Baidu AI Studio.

2. In Langflow, add the PaddleOCR component from the Paddle bundle.

3. Enter your token in the AI Studio Access Token field, or add it as a global variable.

4. Upload one or more supported files, or connect a server file path.

5. Select a Task Type:

   • document_parsing for layout-aware Markdown using models PP-StructureV3 or PaddleOCR-VL-1.6.
   • ocr for plain text recognition using models PP-OCRv6 or PP-OCRv5.

6. Select a Model. The available models change based on the selected task type.

7. Connect a Chat Output or other downstream component to the Files output to inspect the extracted text.

8. Click <Icon name="Play" aria-hidden="true" /> Playground to run the flow.

PaddleOCR parameters

See also

• PaddleOCR documentation
• Baidu AI Studio access token
• Langflow Extensions overview