# The Datalab SDK: Transform Document Processing from Hours to Minutes

> Announcing the official Datalab SDK for Python with simplified APIs and powerful features.

- Canonical: https://www.datalab.to/blog/releases-sdk
- Published: 2025-07-09
- Authors: Vik Paruchuri

We're excited to introduce the **Datalab SDK** (beta), a Python library that makes it even easier to work with Datalab's document intelligence tools.

The SDK wraps our production APIs: the easiest way to use our leading open-weight document intelligence models, [Marker](https://github.com/datalab-to/marker) and [Surya](https://github.com/datalab-to/surya).

[_Sign up for our private beta to get started!_](https://tally.so/r/w501Dd)

## Parse Documents with One Command

Process massive document libraries from the command line without needing to poll or manage rate limits:

```python
datalab marker run library/

library/
├── document.pdf
└── +document.pdf/
      ├── marker.json
      └── marker/
            ├── index.html
            ├── index.md
            └── _page_0_image_0.jpeg
```

Or just as easily with the SDK:

```python
from datalab import Datalab

client = Datalab(api_key="...") # or set with DATALAB_API_KEY
result = client.marker.run("document.pdf", output_format="markdown,html,json")
markdown, html, json = result.markdown, result.html, result.json

document = Document(response) # Superpowers
```

## Navigate and Transform Structured Outputs

Go beyond black-box outputs. Datalab's structured results let you explore every element of a document - from handwriting and headings to equations and tables.

**With the SDK, you can easily answer complex questions like: "Out of a million forms, which ones are missing signatures?"**

```python
document = Document(response) # requires JSON output format
witness_page = [
	page for page in document.pages
	if page.find("IN WITNESS THEREOF", block_types=["Text"]
][0]

if witness_page.find(block_types=["Handwriting"]):
    print("Signed!")
```

You can even build your own custom renderers.

## Built for Scale and Flexibility

Whether you need high-level document processing or granular API control, Datalab adapts to your workflow:

```python
# Access endpoints directly
client.api.v1.health.fetch()

# Or use up-to-date convenience wrappers
client.marker.fetch(...) # GET /api/v1/marker
client.marker.fetch_async(...) # GET /api/v1/marker
client.marker.post(...) # POST /api/v1/makrer
client.marker.post_async(...) # POST /api/v1/marker
```

## The Datalab SDK: fast, flexible, and built for scale

- **Reduce Processing Time**: Parse documents in minutes instead of hours
- **Get clean, structured content from PDFs**: Extract tables, figures, layout, and text without regex hacks
- **Scale Without Overhead**: Process libraries of any size without extra infrastructure
- **Developer-First Design**: A clean, native interface that fits into any workflow

We're releasing the SDK in beta to give developers early access and a chance to shape its future. If you spot any issues or have requests, reach out at [support@datalab.to](mailto:support@datalab.to).

[_Sign up for our private beta today._](https://tally.so/r/w501Dd)

## Bonus: Try our public playground

We also released a [public playground](/playground)! Whether you're evaluating Datalab for a proof of concept or just need a quick Markdown version of a PDF, you can do that directly on our website - no subscription or login required.

![Playground screenshot showing document upload interface](/images/blog/releases-sdk/Playground-Screenshot-1.png)

![Playground screenshot showing parsed document output](/images/blog/releases-sdk/Playground-Screenshot-2.png)

This is the same powerful user-interface that we now offer directly in our web application. If you don't have an account yet, sign up [here](/auth/sign_in).