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Introduction

Welcome to the QI Tech OCR (Optical Character Recognition) SDK integration manual for Flutter! The flutter_kyc_qitech plugin exposes QI Tech's native Android (Kotlin) and iOS (Swift) SDKs through a Dart interface. You can use it to capture, through your application, an image of your customer's document to be recognized, such as a Driver's License or ID card, and reference it through a key in the other products of the QI Tech system.

A single plugin for all three SDKs

flutter_kyc_qitech delivers the three Risk Solutions SDKs in the same package: startFaceRecon (face recognition), startOcr (OCR) and startDeviceScan (device scan). Once installed, all three methods are available — no additional plugins are required.

If you need only device scan, use the dedicated qitech_device_scan plugin, documented in the Device Scan Flutter section.

Having issues?​

We are not a company that hides behind an API! Contact our support and we will respond as quickly as possible. Feel free to call us if you want a quick response!

We love feedback​

Even if you have already solved your problem or if it is very simple (even a typo or poor organization that you already understood), send us an email—this way we make the documentation more and more practical and the next person won't have to suffer the pains you suffered!

Environments​

We have two environments for our customers. The selection is made through the CaaSEnvironment enum, passed as the first parameter of the startOcr method. At the moment, the following environments are available:

  • Production - CaaSEnvironment.production
  • Sandbox - CaaSEnvironment.sandbox

Each environment requires a different Mobile Token.

Important Note!

Do not use real personal or corporate data in QI Tech's Sandbox environments.

Next steps​

  1. Compatibility — minimum Flutter, Dart, iOS and Android versions.
  2. Installation — plugin installation and native Android and iOS setup.
  3. Implementation — a complete startOcr example.
  4. The OcrOptions object — every customization parameter.
  5. Collecting the Responses — response structure and error handling.