thresh-sdk

Official Python client for Thresh: documents in, schema-conformant JSON out. Full API reference at https://usethresh.com/docs.

from thresh import Thresh

client = Thresh(api_key="th_live_...")
doc = client.upload(
    "contract.pdf",
    fields=["purchase_price", "closing_date", "buyer_name"],
    tables=[{"name": "monthly_charges", "columns": ["item", "qty", "mrc"]}],
    questions=["Is the contract contingent upon financing?"],
)
result = client.wait(doc.id)

result.fields["purchase_price"]        # "399900"
result.tables["monthly_charges"]       # [{"item": ..., "qty": ..., "mrc": ...}, ...]
result.answer("Is the contract contingent upon financing?")  # "Yes"

upload(...) accepts a path or a binary file object; pass idempotency_key= to make retries safe.
No schema? client.upload("contract.pdf") runs auto-extraction: the engine discovers and names the fields and tables itself. Refine what it found, then client.create_template("sale-contract", fields=[...]) and reuse it with client.upload("next.pdf", template="sale-contract").
wait(id, timeout=300) polls until completed or failed (failed results return with .error set, no exception).
verify_webhook_signature(secret, header, body) validates Thresh-Signature headers on webhook deliveries.
Errors raise ThreshError with .status, .error_type, and .request_id.

Missing values come back as the string "null"; checkbox states as "true"/"false".

Development Status
- 4 - Beta
Intended Audience
- Developers
Programming Language
- Python :: 3
Topic
- Text Processing :: General

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