Extract text from new Salesforce records with Nanonets OCR.
When a new record with attachments is created in Salesforce, use Nanonets OCR to extract text from the files.
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Google for Startups AcceleratorHow 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 →
TriggersFires when Nanonets OCR finishes extracting data from a document such as an invoice, receipt, form or resume.
Posts a file to Nanonets OCR to be parsed.
Runs an extraction template in Nanonets OCR against a document.
Salesforce Explore Salesforce →
TriggersFires when a new contact or lead is added to Salesforce.
Fires when a field on a contact changes in Salesforce.
Fires when a deal, case or record moves to a new stage in Salesforce.
Fires when a deal is marked won in Salesforce.
Creates or updates a contact in Salesforce.
Creates a new deal in Salesforce.
Moves a deal or record to a new stage in Salesforce.
Logs a call, email, or note against a record in Salesforce.
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Common questions
Can Knit build “Extract text from new Salesforce records with Nanonets OCR.” between Nanonets OCR and Salesforce?
Yes — describe it in the box above and Knit's Integrations Agent researches Nanonets OCR and Salesforce'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.
How does integrating Nanonets OCR with Salesforce help sales teams?
It converts unstructured files like client forms and signed contracts into structured fields in Salesforce, automatically updating contacts and deal stages.
Can CRM changes automatically kick off document extraction?
Yes, when a new lead is created or a deal stage changes in Salesforce, connected documents can be sent to Nanonets OCR for automated parsing.