Gmail + Mindee OCR Integrations
Put Gmail + Mindee OCR to work with AI and enterprise-grade automation
4.9/5 on G2·
Google for Startups Accelerator
Workflows you can build between Gmail and Mindee OCR
See the kind of workflows teams build with Gmail and Mindee OCR below — describe the exact one you want above and the Agent builds it on demand.
Gmail + Mindee OCR
Extract passport data using Mindee OCR from email attachments received in Gmail.
Browse the full workflow library →
Looking to achieve something else with Gmail and Mindee OCR?
Just describe what you need — the Agent researches both APIs and builds the real automation on demand.
Try Knit FreeTriggers & actions for Gmail and Mindee OCR
Everything Gmail and Mindee OCR can do inside a workflow — the triggers that start one and the actions that run when it fires.
Gmail Explore Gmail →
Gmail is a free email service developed by Google that allows users to send, receive, and manage messages.
TriggersTriggers when you receive a new attachment.
Triggers when you add a new label.
Triggers the first time a label is added to a conversation. Replies within that conversation will not trigger again.
Triggers when an email is labeled. Also triggers when a reply is added to the conversation.
Triggers when a new email appears in the specified mailbox.
Triggers when you receive a new email that matches a search string you provide.
Add a label to an email message.
Archive an email message.
Sends an email message to the trash.
Create a draft email message.
Create a draft reply to an existing email.
Forward an existing email message to new recipients.
Mindee OCR Explore Mindee OCR →
Mindee OCR is a document parsing tool that uses artificial intelligence to extract data from invoices, receipts, and documents.
ActionsClassify documents using your Mindee classification utility model.
Crop pages in a document using your Mindee Crop model. Can be chained with an Extraction model.
Extract data from a document file and return the result. Use any extraction model you've built on the Mindee platform.
Extract raw document text using your Mindee OCR model.
Split document pages using your Mindee split model. Can be chained with an Extraction model.
Other Email apps on Knit
Explore more Email integrations you can automate with Knit — or describe a custom workflow and the Agent builds it.
ActiveCampaign Postmark
ActiveCampaign Postmark is a transactional email delivery service designed to help developers send application emails and monitor delivery performance.
Adestra
Adestra is an enterprise email marketing software platform providing message personalization, automation, and campaign delivery tracking.
Amazon SES
A cloud-based email sending service designed to send transactional, notification, and bulk marketing emails reliably.
Autoklose
Autoklose is an email sales automation platform designed to manage contacts, automate outreach campaigns, and engage prospects.
BigMailer
BigMailer is an email marketing and newsletter platform that allows agencies and high-volume senders to manage bulk email campaigns.
Bluetick.io
Bluetick.io is an automated email follow-up platform designed to help sales teams engage prospects and streamline outreach.
Bouncer
Bouncer is an email verification and deliverability platform for cleaning and validating email lists.
Ceipal
Ceipal is talent acquisition and communication software designed to manage recruitment workflows and email outreach.
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.
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.
Cradl AI
Cradl AI is a machine learning platform that automates document data extraction and parsing for structured and unstructured documents.
DigiParser
DigiParser is an artificial intelligence tool that automatically extracts structured data from unstructured documents, PDFs, and images.
Extracta.ai
An artificial intelligence data extraction tool that parses unstructured documents and images into structured business data.
Parsio
Parsio is an automated document parsing tool that uses artificial intelligence to extract structured data from emails and PDF files.
Rossum
Rossum is an AI-powered document processing platform that automatically extracts and parses data from business invoices and documents.
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 Gmail + Mindee OCR
Is there a pre-built Gmail + Mindee OCR automation?
Not yet, but Knit's Integrations Agent can build one — describe what you want and it researches Gmail and Mindee OCR's public API docs (or your own uploaded docs) and builds a working automation.
Does this require a pre-built Gmail or Mindee OCR connector?
No. The Agent works whether or not Gmail or Mindee OCR 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.