Financial document intelligence · by Hyperbots
Documents go in. Clean, validated JSON comes out. Parse, extract, classify, split, and redact in one call your code and agents can trust.
raw documents in · structured data out
OCR, rules, models, glue — HyperAPI is that pipeline, behind one call.
POST /v1/extract
{ "document_key": "inv_88241.pdf" }
All of it, replaced by one API.
Each operation reads the page, understands it, and returns what you need.
Point the Python SDK at a file and call any operation. No upload step. Pick one on the right and the code updates; the cURL tab shows the raw REST flow.
from hyperapi import HyperAPIClient
client = HyperAPIClient(api_key="hk_live_…")
# the SDK takes a file path — no upload step
fields = client.extract("invoice.pdf")
print(fields)Coding agents already speak plain English and write code. What they can’t do is read a messy document. So HyperAPI hands them that, as five operations they compile into the exact pipeline your goal needs.
“Reconcile this month’s vendor invoices against our open POs, flag anything over $500, and mask the bank details before it moves on.”
the agent’s language + code × HyperAPI’s five document operations = one cited, structured result
FAQ
Everything worth knowing before your first call. Tap a question to expand it.
parse to clean markdown, extract to typed JSON fields, classify to route by type, split to separate bundled documents, and redact to mask sensitive data. Upload once, get a key, and call any endpoint against it.cURL. Webhooks and async jobs are built in for bulk and long-running files.No credit card. 10,000 pages free every month. Read the docs and ship today.