Nanonets OCR + OneDrive Integrations, Built by an AI Agent
Put Nanonets OCR + OneDrive to work with AI and enterprise-grade automation
Learn more about Nanonets OCR integrations or talk to a human
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Workflows you can build between Nanonets OCR and OneDrive
See the kind of workflows teams build with Nanonets OCR and OneDrive below — describe the exact one you want above and the Agent builds it on demand.
Nanonets OCR + OneDrive
When a new prediction is generated in Nanonets OCR, upload the extracted text and output file to OneDrive.
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Extract data from newly uploaded files
Whenever a user uploads a new document in OneDrive, automatically send it to Nanonets OCR to extract structured data fields.
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Organize extracted summaries into cloud folders
When Nanonets OCR finishes extracting data from a file, automatically create a dedicated folder and save the results in OneDrive.
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Parse documents added to updated folders
When a folder is updated with new files in OneDrive, process those files through Nanonets OCR to extract clean structured data.
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Browse the full workflow library →
Looking to achieve something else with Nanonets OCR and OneDrive?
Just describe what you need — the Agent researches both APIs and builds the real automation on demand.
Try Knit FreeTriggers & actions for Nanonets OCR and OneDrive
Everything Nanonets OCR and OneDrive can do inside a workflow — the triggers that start one and the actions that run when it fires.
Nanonets OCR Explore Nanonets OCR →
An artificial intelligence platform that automates data capture and document extraction using optical character recognition technology.
TriggersTriggers when a new image is uploaded for prediction.
Triggers when a new document is uploaded for prediction.
Triggers when a new image is uploaded for prediction.
Uses Nanonets OCR to extract text asynchronously. Results will appear via the trigger
Uses Nanonets OCR to extract text including line items. Results will appear via the trigger
Uses Nanonets OCR to extract text including line items. Results will appear via the trigger
Uses Nanonets OCR to extract text
OneDrive Explore OneDrive →
OneDrive is a cloud storage service by Microsoft that allows users to store, back up, and share files across devices.
TriggersTriggers when a new file is created in the personal drive.
Triggers when a new folder is created in the personal drive.
Triggers when a file is created or modified in the selected folder.
Copy a file or folder to a new location.
Deletes a file or folder, moving it to the Recycle Bin.
Exports a file to PDF or HTML format.
Upload a file.
Create a new folder.
Moves a file or folder to a different location. Optionally rename the item.
Other AI Document Extraction apps on Knit
Explore more AI Document Extraction integrations you can automate with Knit — or describe a custom workflow and the Agent builds it.
AccurAI
AccurAI is an artificial intelligence assistant platform designed to automate document processing, data extraction, and business workflow tasks.
AI Textraction
AI Textraction is an AI-powered document extraction application designed to extract structured text and data from digital files.
Airparser
An AI-powered document parser that automatically extracts structured data from emails, PDFs, and unstructured documents.
Algodocs
An AI-powered document parsing software that extracts structured data from PDFs, scanned images, and invoices.
Alkymi
Alkymi is an intelligent document processing platform that uses machine learning to extract and analyze data from business documents.
Alphamoon
Alphamoon is an artificial intelligence platform that automates document processing, data extraction, and workflow classification for structured documents.
CandidateZip Resume/Job Parser
CandidateZip Resume/Job Parser is recruiting software that automatically parses resume and job description data into structured applicant fields.
Cradl AI
Cradl AI is a machine learning platform that automates document data extraction and parsing for structured and unstructured documents.
Other Files & Storage apps on Knit
Explore more Files & Storage integrations you can automate with Knit — or describe a custom workflow and the Agent builds it.
Acquia DAM
Acquia DAM is a cloud-based digital asset management platform for storing, organizing, and distributing brand and media assets.
Adobe Creative Cloud Libraries
Adobe Creative Cloud Libraries is a cloud asset system that enables users to store and share creative assets across applications.
Air
Air is a digital asset management platform designed for creative teams to organize, share, and collaborate on visual media.
Amazon S3
Amazon S3 is a cloud object storage service that offers scalable data storage, retrieval, and backup infrastructure for applications.
Artworker
Artworker is an artwork management and file proofing tool for print production teams to upload, review, and approve print-ready files.
Aryeo
Aryeo is a content delivery and order management platform built specifically for real estate photographers and media companies.
Box
Box is a cloud content management and secure file sharing platform built for enterprise content management and team collaboration.
Brandfolder
Brandfolder is a digital asset management platform that enables organizations to store, organize, and share brand media assets.
Customer Stories
See how leading technology firms are scaling their operations
Amazing Product With Exceptional Support from the team. By using Knit we managed to speed up our development by orders of magnitude.
A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
Knit shipped a brand-new Timesheet API in a week and handed us a ready-to-use NetSuite sandbox. That velocity is priceless when you're running payroll in 40+ countries.
#1 in Ease of Integrations
4.9 out of 5 stars on G2
Common questions about Nanonets OCR + OneDrive
Is there a pre-built Nanonets OCR + OneDrive automation?
Not yet, but Knit's Integrations Agent can build one — describe what you want and it researches Nanonets OCR and OneDrive's public API docs (or your own uploaded docs) and builds a working automation.
Does this require a pre-built Nanonets OCR or OneDrive connector?
No. The Agent works whether or not Nanonets OCR or OneDrive already has a pre-built connector in Knit's catalog — it researches the real API surface either way.
How long does it take to build?
Minutes to build a first working version, not weeks — you test it against real data before it goes anywhere near production.
How does Nanonets OCR process files stored in OneDrive?
Whenever files are uploaded or changed in OneDrive, they can be automatically passed to Nanonets OCR to extract structured data fields without manual work.
Can extracted data outputs be saved back to OneDrive?
Yes, after Nanonets OCR processes a document, you can automatically create new files or folders in OneDrive to hold the structured results.