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Google Docs + Nanonets OCR

Google Docs + Nanonets OCR

Google Docs + Nanonets OCR integrations

Append new Nanonets OCR predictions to Google Docs documents

When a new prediction occurs in the Nanonets OCR app, this workflow streamlines your process by appending the predicted text directly to your Google Docs document. It promotes efficiency by eliminating manual data input, enabling you to manage OCR predictions directly in Google Docs and saving you valuable time and effort.

When this happens...
New PredictionTriggers when a new image is uploaded for prediction.
TriggerPolling
automatically do this!
Append Text to DocumentAppends text to an existing document.
ActionWrite

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More things you can do with Nanonets OCR and Google Docs

Discover other triggers and actions you can use with Nanonets OCR and Google Docs

- Application ID
  Required
Trigger
Polling
Try It
- Application ID
  Required
Trigger
Polling
Try It
- File
- Filename
- Url
- Request_metadata
- Application ID
  Required
- asyncProcessing
Action
Write
- File
- Filename
- Url
- Request_metadata
- Application ID
  Required
Action
Write
- Drive
- Folder
Trigger
Polling
Try It

- Drive
- Folder
- Document Name
  Required
- Text to Append
  Required
- Append Text on New Line?
Action
Write
- File
  Required
- Specify Document Name
- Drive
- Folder
Action
Write

- Document
  Required
- Start position (Index)
  Required
- End position (Index)
  Required
- Formatting Options
- Font size (points)
- Font family
- Text color (hex)
- Background color (hex)
- Segment ID
- Tab ID
Action
Write
- Document
  Required
- Text to insert
  Required
- Insert position (Index)
  Required
- Segment ID
- Tab ID
Action
Write
- Document
  Required
- Select which image to replace
  Required
- New image URL
  Required
- Select which tab the image is in
Action
Write
- Stop on error
  Required
- HTTP Method
  Required
- URL
  Required
- Query string parameters
- Additional request headers
- Body
Action
Write
- Document ID
  Required
Action
Search
- Drive
- Folder
- Document Name
  Required
- Document Content
  Required
- Export Formats
- Insert Inline Image (Image URL)
- Image location (Segment ID)
- Image location (Index)
- Image location (tabId)
Action
Search or write

- Application ID
  Required
Trigger
Polling
Try It
- File
  Required
- Filename
- Url
- Request_metadata
- Application ID
  Required
Action
Write
- File
- Filename
- Url
- Request_metadata
- Application ID
  Required
- asyncProcessing
Action
Write
New Document
Triggers when a new document is added (inside any folder).
Trigger
Polling
Try It
- Document
  Required
Trigger
Polling
Try It
- Drive containing the template document
- Folder containing the template document
- Template Document
  Required
- New Document Name
  Required
- Drive
- Folder for new Document
- Sharing Preference
- Unused Fields Preference
- Export Formats
- Insert Inline Image (Image URL)
- Image location (Segment ID)
- Image location (Index)
- Image location (tabId)
Action
Write
- Document
  Required
- Find text
  Required
- Replace text
- Match case
Action
Write
- Document
  Required
- Image URL
  Required
- Insert position (Index)
  Required
- Width (points)
- Height (points)
- Segment ID
- Tab ID
Action
Write
- Document Name
  Required
- Document Content
  Required
- Drive
- Folder
- Export Formats
- Insert Inline Image (Image URL)
- Image location (Segment ID)
- Image location (Index)
- Image location (tabId)
Action
Write
- Document
  Required
- Background color (hex)
- Page width (points)
- Page height (points)
- Top margin (points)
- Bottom margin (points)
- Left margin (points)
- Right margin (points)
- Page number start
- Use different first page header and footer
- Use different even page header and footer
Action
Write
- Drive
- Folder
- Document Name
  Required
Action
Search
- Document ID
  Required
Action
Search

About Google Docs

Google Docs is an online word processor that lets you create and format text documents. Collaboratively edit documents with other people in real time. We also support Google Sheets!

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About Nanonets OCR

Nanonets OCR provides intelligent information extraction on any document or image

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