Reducto integration

Reducto document intelligence automation

18 operationsAI

Reducto is a document ingestion API that turns messy PDFs, scans, spreadsheets, and forms into clean, structured data. The NoClick Reducto node calls that API directly, so one workflow can upload a document, parse it into structured markdown or JSON, pull named fields out of it, classify what kind of document it is, or split a bundled file into its separate parts. It also runs saved Reducto pipelines and manages the async jobs behind them, so you can kick off a long parse, poll its status, and cancel it without leaving the canvas. Point it at incoming contracts, invoices, or applications and the reading step stops being manual work.

What you can automate with Reducto

Reducto operations

Triggers1

Documents1

Parse2

Extract2

Split2

Classify1

Edit2

Pipeline2

Jobs3

Webhooks1

Account1

Questions

The Reducto node parses documents into structured markdown or JSON, extracts named fields, classifies document types, and splits multi-document files into their parts. It can also run your saved Reducto pipelines and upload files to process. Each of these is a separate operation you can wire to any trigger.

Yes. Reducto processes large documents as async jobs, and the On Job Completed trigger starts a workflow the moment a job finishes so you can act on the result right away. You can pair it with the Configure Webhook operation to register where Reducto sends those completion events.

The node authenticates with a Reducto API key. Create one in Reducto Studio under API Keys, then paste it into the node's credential field. Once connected, every operation runs against your Reducto account.

Yes. The Parse, Extract Fields, Split, and Run Pipeline operations each have an async variant that returns a job you can track. Use Get Job to poll status, List Jobs to see what's running, and Cancel Job to stop one that is no longer needed.

Yes. The Extract Fields operation returns only the values you ask for, such as an invoice total or a contract date, rather than the entire parsed document. That keeps downstream steps focused on the exact data you need to store or act on.

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