> ## Documentation Index
> Fetch the complete documentation index at: https://documentation.datalab.to/llms.txt
> Use this file to discover all available pages before exploring further.
# API Limits & Rate Limiting
Datalab implements limits to ensure fair usage and maintain service quality. This guide covers file size limits, page limits, and rate limiting.
## File Size Limits
| File Type | Maximum Size |
| ---------------- | ------------ |
| PDF Documents | 200 MB |
| Images | 200 MB |
| Office Documents | 200 MB |
## Page Limits
| Limit | Value |
| ------------------------- | ----- |
| Maximum pages per request | 7,000 |
For documents exceeding these limits, use the `page_range` parameter to process in segments:
```python theme={null}
from datalab_sdk import DatalabClient, ConvertOptions
client = DatalabClient()
# Process a large document in segments
options = ConvertOptions(page_range="0-999")
result1 = client.convert("large_document.pdf", options=options)
options = ConvertOptions(page_range="1000-1999")
result2 = client.convert("large_document.pdf", options=options)
```
## Rate Limits
### Request Rate Limit
| Limit | Value |
| ------------------- | ----- |
| Requests per minute | 200 |
| Concurrent requests | 400 |
When you exceed request rate limits, you'll receive a `429` response. The SDK handles retries automatically. For raw API calls, implement retry logic:
```python theme={null}
import time
import requests
def api_call_with_retry(url, headers, files, data, max_retries=3):
for attempt in range(max_retries):
response = requests.post(url, headers=headers, files=files, data=data)
if response.status_code == 429:
time.sleep(60)
continue
return response
raise Exception("Max retries exceeded")
```
### Page Concurrency Limit
In addition to request rate limits, Datalab enforces a limit on the total number of pages being processed concurrently across all your requests.
| Limit | Value |
| -------------------------- | ----- |
| Concurrent pages in flight | 5,000 |
Most workloads will not hit this limit. It primarily affects high-volume workloads with longer-running requests — for example, large or complex documents processed in accurate mode with additional features enabled — or extremely high-volume workloads. Such sustained workloads would benefit from an enterprise agreement or a batch job that we orchestrate for you. Contact [support@datalab.to](mailto:support@datalab.to) to discuss your requirements.
This limit differs from request rate limits in two important ways:
1. **It is not time-bound.** It limits the number of pages actively being processed at any given moment, not the number of requests per minute.
2. **It is enforced during processing, not at submission.** You will not receive a `429` response when submitting a document. Instead, the result will return with `success` set to `false` and an error message:
```json theme={null}
{
"success": false,
"error": "Page rate limit exceeded. Your team has {current_pages} pages in flight and this request adds {page_count} more ({total} total, limit: 5,000). Please wait for some requests to complete before submitting more, or contact support@datalab.to for a higher limit."
}
```
Because this limit is not enforced at submission time, you won't get an HTTP error when submitting. Always check the `success` field in your results. If you're polling for results, back off and wait for in-flight requests to complete before submitting more.
## Enterprise Limits
Custom limits are available for enterprise plans:
* Higher file size limits
* Increased rate limits
* Priority processing
See [pricing](https://www.datalab.to/pricing) for details, or contact support to discuss your requirements.
## Next Steps
Process multiple documents efficiently in batch.
Understand HTTP error codes and subscription errors.
Learn about per-page pricing and usage monitoring.
Receive notifications when processing completes instead of polling.