Mindee OCR Integrations
Put Mindee OCR to work with AI and enterprise-grade automation
4.9/5 on G2·
Google for Startups Accelerator
No Mindee OCR connector? The Agent builds one.
Web search for Mindee OCR's public API docs, or hand over your own — either way, the Agent researches the real API surface and ships a working connector.
Try Knit FreeNot a block library. Real code.
Legacy automation tools like Zapier, Workato, and Make hand you a fixed library of pre-built steps to drag, drop, and configure around the edges. Knit's Integrations Agent writes real, custom Mindee OCR integration code for your exact logic.
Legacy iPaaS
- Fixed library of pre-built steps — drag, drop, configure around the edges
- Capped by whatever the vendor's already built
- AI features bolted on after the fact
Knit Integrations Agent
- Real, inspectable code for your exact Mindee OCR logic
- Auto-builds a missing Mindee OCR connector itself
- Native LLM connectors built in, not bolted on
from knit import Knit
client = Knit(api_key=KNIT_API_KEY)
@client.on("data-extracted-from-a-document")
def send_a_document_for_extraction(event):
return client.ai_document_extraction.send_a_document_for_extraction(
integration_id=MINDEE_OCR_INTEGRATION_ID,
record_id=event["id"],
fields={
"source": "Mindee OCR",
"synced_at": event["updated_at"],
},
# ...maps the event to a real "Send a document for extraction" call
)Example: illustrative of what the Agent generates from a plain-English prompt — real, inspectable, and yours to edit.
Skip the engineering. Ship the workflows.
See what you can build with Mindee OCR on Knit
Mindee OCR → OCR Web Service
Pass document images between Mindee OCR and OCR Web Service for extended extraction.
Mindee OCR → Gmail
Extract passport data using Mindee OCR from email attachments received in Gmail.
Mindee OCR → Jotform
Automatically parse and extract document data with Mindee OCR from new Jotform submissions.
Mindee OCR → Notion
Sync extracted document data from Mindee OCR directly into a Notion database.
Mindee OCR → OCR Web Service
Pass document images between Mindee OCR and OCR Web Service for extended extraction.
Mindee OCR → Gmail
Extract passport data using Mindee OCR from email attachments received in Gmail.
Mindee OCR → Jotform
Automatically parse and extract document data with Mindee OCR from new Jotform submissions.
Mindee OCR → Notion
Sync extracted document data from Mindee OCR directly into a Notion database.
Mindee OCR → Formidable Forms
Send form attachments from Formidable Forms to Mindee OCR for automated data extraction.
Mindee OCR → Discord
Parse passport images uploaded to Discord channels using Mindee OCR.
Mindee OCR → Collect
Sync processed document outputs from Mindee OCR over to Collect.
Mindee OCR → Dropbox
Send uploaded files from Dropbox to Mindee OCR for automatic text and data parsing.
Mindee OCR → Formidable Forms
Send form attachments from Formidable Forms to Mindee OCR for automated data extraction.
Mindee OCR → Discord
Parse passport images uploaded to Discord channels using Mindee OCR.
Mindee OCR → Collect
Sync processed document outputs from Mindee OCR over to Collect.
Mindee OCR → Dropbox
Send uploaded files from Dropbox to Mindee OCR for automatic text and data parsing.
See the APIs & webhooks enabling Mindee OCR Integrations
The real endpoints Knit's Agent can call to turn a plain-English use case into working Mindee OCR Integration code
Classify 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 AI Document Extraction Connectors
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Rossum
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Parsio
Parsio is an automated document parsing tool that uses artificial intelligence to extract structured data from emails and PDF files.
Airparser
An AI-powered document parser that automatically extracts structured data from emails, PDFs, and unstructured documents.
Cradl AI
Cradl AI is a machine learning platform that automates document data extraction and parsing for structured and unstructured documents.
Algodocs
An AI-powered document parsing software that extracts structured data from PDFs, scanned images, and invoices.
Extracta.ai
An artificial intelligence data extraction tool that parses unstructured documents and images into structured business data.
AI Textraction
AI Textraction is an AI-powered document extraction application designed to extract structured text and data from digital files.
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 the Mindee OCR automation
Is there a pre-built Mindee OCR automation?
Not yet — Mindee OCR isn't in Knit's Unified API or MCP Servers catalog today, so there's no pre-built connector for it either. The Integrations Agent can build the real automation (and the connector powering it) on demand instead of you waiting on our roadmap.
How does the Agent actually build the Mindee OCR connector?
It researches Mindee OCR's real public API documentation — authentication, endpoints, data schema — and writes a working connector against that real surface. You can also upload your own docs if Mindee OCR's aren't public.
How long does it take?
Minutes to build a first working version, not weeks — you test it against real Mindee OCR data before it goes anywhere near production.
What happens after the Agent builds it?
You own it. It runs the same way any Knit-built connector does — you are not left maintaining hand-rolled integration code yourself.
Could Mindee OCR become a real pre-built connector later?
Yes — as apps get built and used through the Agent, the highest-demand ones are natural candidates to join the pre-built Unified API/MCP Servers catalog directly.