Extract data from newly uploaded files
Whenever a user uploads a new document in CloudConvert, automatically send it to Cradl AI to extract structured data fields.
See all CloudConvert + Cradl AI integrations or talk to a human
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.
CloudConvert Explore CloudConvert →
TriggersFires when a new file is uploaded to CloudConvert.
Fires when a file in CloudConvert is shared with someone new.
Fires when a folder's contents change in CloudConvert.
Uploads a file to CloudConvert.
Creates a new folder in CloudConvert.
Shares a file from CloudConvert with a link or user.
Cradl AI Explore Cradl AI →
TriggersFires when Cradl AI finishes extracting data from a document.
Posts a file to Cradl AI to be parsed.
Runs an extraction template in Cradl AI against a document.
More CloudConvert + Cradl AI workflows
See all CloudConvert + Cradl AI integrations → · Browse the full workflow library →
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Common questions
Can Knit build “Extract data from newly uploaded files” between CloudConvert and Cradl AI?
Yes — describe it in the box above and Knit's Integrations Agent researches CloudConvert and Cradl AI'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 Cradl AI process files stored in CloudConvert?
Whenever files are uploaded or changed in CloudConvert, they can be automatically passed to Cradl AI to extract structured data fields without manual work.
Can extracted data outputs be saved back to CloudConvert?
Yes, after Cradl AI processes a document, you can automatically create new files or folders in CloudConvert to hold the structured results.