Dev

README.md

@@ -10,13 +10,28 @@
   <a href="https://www.datalab.to/pricing"><img src="https://img.shields.io/badge/Model%20License-OpenRAIL--M-blue.svg" alt="Model License"></a>
   <a href="https://discord.gg/KuZwXNGnfH"><img src="https://img.shields.io/badge/Discord-Join%20us-5865F2?logo=discord&logoColor=white" alt="Discord"></a>
 </p>
+<p align="center">
+  <a href="https://www.datalab.to"><img src="https://img.shields.io/badge/Homepage-datalab.to-blue" alt="Homepage"></a>
+  <a href="https://documentation.datalab.to"><img src="https://img.shields.io/badge/Docs-Read%20the%20docs-blue" alt="Docs"></a>
+  <a href="https://www.datalab.to/playground"><img src="https://img.shields.io/badge/Playground-Try%20it-orange" alt="Public Playground"></a>
+</p>
 
 <hr/>
 
 # Chandra OCR 2
 
 Chandra OCR 2 is a state of the art OCR model that converts images and PDFs into structured HTML/Markdown/JSON while preserving layout information.
 
+## Try Chandra on Datalab
+
+Our managed platform runs an improved Chandra with higher accuracy than the open weights, zero data retention by default, SOC 2 Type 2, and custom BAAs.
+
+If you have high volume workloads, we offer a batch processing service that has processed 200M+ pages per week — we manage the infrastructure so your workloads finish on time.
+
+Get started with **$5 in free credits** — [sign up](https://www.datalab.to/?utm_source=gh-chandra) — takes under 30 seconds — or try Chandra in our [public playground](https://www.datalab.to/playground?utm_source=gh-chandra).
+
+Commercial self-hosting requires a license — see [Commercial usage](#commercial-usage). For on-prem licensing, [contact us](https://www.datalab.to/contact?utm_source=gh-chandra-onprem).
+
 ## News
 
 - 3/2026 - Chandra 2 is here with significant improvements to math, tables, layout, and multilingual OCR
@@ -35,11 +50,6 @@ Chandra OCR 2 is a state of the art OCR model that converts images and PDFs into
 
 <img src="assets/examples/math/handwritten_math.png" width="600px"/>
 
-## Hosted API
-
-- We have a hosted API for Chandra [here](https://www.datalab.to/), which is more accurate and faster.
-- There is a free playground [here](https://www.datalab.to/playground) if you want to try Chandra without installing.
-
 ## Quickstart
 
 The easiest way to start is with the CLI tools:

chandra/scripts/cli.py

@@ -71,6 +71,11 @@ def save_merged_output(
         all_markdown.append(result.markdown)
         all_html.append(result.html)
 
+        # Ensure page separation in merged output
+        if not paginate_output and page_num < len(results) - 1:
+            all_markdown.append("\n\n")
+            all_html.append("\n\n")
+
         # Accumulate metadata
         total_tokens += result.token_count
         total_chunks += len(result.chunks)