Send uploaded workspace files for AI extraction

When a new record with attached files is added in Airtable, automatically send the files to Nanonets OCR to extract structured data points.

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See all Nanonets OCR + Airtable integrations or talk to a human

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

Nanonets OCR Explore Nanonets OCR →

Triggers

Data extracted from a document

Fires when Nanonets OCR finishes extracting data from a document such as an invoice, receipt, form or resume.

Actions

Send a document for extraction

Posts a file to Nanonets OCR to be parsed.

Extract structured data from a file

Runs an extraction template in Nanonets OCR against a document.

Airtable Explore Airtable →

Triggers

New page created

Fires when a new page or doc is created in Airtable.

Record added

Fires when a new record is added to a database or table in Airtable.

Doc published

Fires when a doc in Airtable is published or shared.

Status changed

Fires when a status field changes on a record in Airtable.

Actions

Create page from template

Starts a new page in Airtable from a saved template.

Add or update record

Creates or updates a record in Airtable.

Append text

Adds text to the end of an existing doc in Airtable.

Move page

Moves a page in Airtable into a different space.

Record extracted document data in central databases Once Nanonets OCR extracts structured data from a document, automatically add a new record to your tracking table in Airtable with all parsed details. See details

Create documentation pages for parsed files When key details are extracted from an intake form in Nanonets OCR, automatically generate a new page from a template in Airtable populated with the extracted information. See details

See all Nanonets OCR + Airtable integrations → · Browse the full workflow library →

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FAQ

Common questions

Can Knit build “Send uploaded workspace files for AI extraction” between Nanonets OCR and Airtable?

Yes — describe it in the box above and Knit's Integrations Agent researches Nanonets OCR and Airtable's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

Why pair Nanonets OCR with Airtable?

The integration turns unorganized files into structured data and automatically builds records or pages in Airtable, keeping your knowledge hub effortlessly organized.

Can document processing in Nanonets OCR populate pre-made templates in Airtable?

Yes, parsed metadata from Nanonets OCR can automatically create formatted pages or update specific rows across your workspace in Airtable.