Do you need your CoA data? Of course!
Have no fear, CoADoc is here to get you your data.
Certificate of Analysis Parser
Your sample results from uploaded CoAs will render below.
Custom CoA Parsing
At this time, CoADoc can only parse certificates of analysis (CoAs) from labs and LIMS with validated parsing algorithms. We've validated:
| Labs | LIMS |
|---|---|
| Anresco Laboratories | Confident Cannabis |
| Cannalysis | TagLeaf LIMS |
| Green Leaf Lab | |
| MCR Labs | |
| Sonoma Lab Works | |
| Veda Scientific |
If you want your favorite lab or LIMS added, then please email dev@cannlytics.com and chances are that they can be included. Alternatively, because Cannlytics is open source, you can clone the source code and write a custom parsing algorithm for your lab or LIMS for free! It is as easy as 1, 2, 3 to add a new lab.
CoADoc API
You can integrate rich lab result data into your app with one quick request to the CoADoc API. Given a QR code scanner or any other mechanism to input CoA URLs or PDFs, make a simple request and you will receive your CoA data neatly organized and ready for your use.
Request URL
POST https://cannlytics.com/api/data/coas
Request Body
{
"urls": ["https://cannlytics.page.link/test-coa"]
}
CoADoc Python SDK
Are you interested in developing a new parsing routine for a lab or LIMS? Then you can easily use CoADoc directly
with the cannlytics
Python package
to parse CoAs
to your heart's content.
# pip install cannlytics
from cannlytics.data.coas import CoADoc
# Parse CoA data.
parser = CoADoc()
urls = ["https://cannlytics.page.link/test-coa"]
data = parser.parse(urls)
parser.quit()
