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Mindee Java SDK

Generate Java SDK guidance for Mindee V2 client setup and document processing.

16|3|Updated Feb 14, 2022
Search Tags:#ocr#document processing#sdk#api integration#java#webhooks#mindee
One-click install
npx skills add https://github.com/mindee/mindee-api-java --skill mindee-java-sdk
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Mindee Java SDK
Source: https://github.com/mindee/mindee-api-java/tree/main
Command: npx skills add https://github.com/mindee/mindee-api-java --skill mindee-java-sdk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers integrate Mindee’s API services from Java without having to design low-level HTTP workflows, manually manage response parsing, or guess at supported SDK patterns.

Core Features & Use Cases

  • Mindee V2 client integration: Set up and use the official Java SDK for production-ready API interactions.
  • File and URL input handling: Load local files, remote URLs, and prepared sources for document processing.
  • Response and error handling: Work with extraction, split, crop, classification, and OCR results while following documented error-handling patterns.
  • Use Case: A developer building invoice or identity-document automation can use this Skill to generate Java SDK usage guidance for sending a file, polling for results, and reading structured fields from the response.

Quick Start

Ask for a minimal Java example that uses the official Mindee V2 SDK to send a local file for extraction and show how to read the result fields.

Frequently Asked Questions about Mindee Java SDK

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate Mindee V2 API in Java without making direct HTTP calls?▼

You can integrate Mindee V2 API in Java by using the official Mindee Java SDK, which handles client setup, document sending, and typed response parsing automatically. It abstracts low-level HTTP workflows for extraction, classification, and OCR tasks.

How do I handle file and URL inputs for document processing in the Mindee Java SDK?▼

The Mindee Java SDK supports loading local files, remote URLs, and prepared sources for document processing. You can pass these inputs directly to the client to send documents for extraction, split, crop, classification, or OCR operations.

Can I use webhooks instead of polling for Mindee API results in Java?▼

Yes, the Mindee Java SDK supports both polling and webhook workflows for retrieving document processing results. You can configure webhook workflows to receive asynchronous callbacks for extraction, split, crop, classification, and OCR responses.

What Java version is required to use the Mindee Java SDK for OCR and document extraction?▼

The Mindee Java SDK requires Java 11 or higher to run document extraction, classification, and OCR workflows. You need a Java 11+ environment to properly instantiate the documented com.mindee.sdk classes and execute API integration patterns.

How do I parse typed response fields from Mindee document extraction results in Java?▼

You parse typed response fields by using the Mindee Java SDK's documented response handling classes for extraction, split, crop, classification, and OCR models. The SDK provides structured objects so you can read extracted fields without manually parsing raw HTTP responses.

What is the best way to handle errors when sending documents to the Mindee API using the Java SDK?▼

The best way to handle errors is by following the Mindee Java SDK's documented error-handling patterns during client setup and document processing. The SDK provides structured typed responses across extraction, classification, and OCR models to manage exceptions consistently.

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