When to use Python
Python is a good fit for data pipelines, batch backfills, evaluation sets, reconciliation jobs, internal tools, and workflow workers that process documents outside the request path.
Production notes
Use async jobs for long packets, verify webhook signatures before trusting callbacks, persist job IDs, and route low-confidence fields to review instead of overwriting downstream records.
from cogneris_ai import Cogneris
client = Cogneris(api_key=os.environ["COGNERIS_API_KEY"])
result = client.extract(
file="invoice.pdf",
template="invoice",
include_bounding_boxes=True,
)
print(result.data["invoice_number"].value)Extract
Turn PDFs, scans, photos, and document packets into structured records.
Validate
Apply confidence thresholds, business rules, and cross-document checks.
Route
Send clean results downstream and uncertain fields to review queues.