FormRecognizerAccelerator

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FormRecognizerAccelerator

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Solution Accelerator: Using Logic Apps & Form Recognizer

FormRecognizerAccelerator 최신버젼 다운로드

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# Form Recognizer Solution Accelerator

Accelerate your Form Recognizer solution to production with this Solution Accelerator, which leverages an Azure Function and a set of Logic Apps to split multi-page PDF files to single-page PDF files and sends individual PDF files to the REST API endpoint of a trained custom document model in Form Recognizer.

![Architecture](https://raw.githubusercontent.com/stevedem/FormRecognizerAccelerator/main/docs/images/007-form-reco-accelerator.png)

This solution implements two capabilities that are commonly required when working with a trained custom document model:

1. Splitting multi-page PDF documents into individual, single-page PDF documents
  2. Analyzing the results of documents sent to the Form Recognizer REST API endpoint of a trained custom document model

Please reference [this blog post](https://techcommunity.microsoft.com/t5/ai-cognitive-services-blog/form-recognizer-solution-accelerator/ba-p/3262782) for detailed, step-by-step instructions for how to implement this solution. We are also actively working on organizing the same step-by-step instructions in this repository.

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## Step 1: [Deploy core resources to Azure](https://github.com/stevedem/FormRecognizerAccelerator/blob/main/docs/01-deploy-to-azure.md)

Using the below button, six Azure services will be deployed:

* Storage account
  * Function app
  * App Service plan
  * Form Recognizer
  * Logic app (x2)

[![Deploy to Azure](https://aka.ms/deploytoazurebutton)](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2Fstevedem%2FFormRecognizerAccelerator%2Fmain%2Finfrastructure%2Fazuredeploy.json)

## Step 2: [Create containers & upload data](https://github.com/stevedem/FormRecognizerAccelerator/blob/main/docs/02-storage-account-containers-upload-data.md)

Download [sample data]() from this repository and upload it into the new containers you create.

## Step 3: [Train custom document model](https://github.com/stevedem/FormRecognizerAccelerator/blob/main/docs/03-form-recognizer-train-custom-model.md)

Open the [Form Recognizer Studio](https://formrecognizer.appliedai.azure.com/studio/) and train a custom document model.

## Step 4: [Deploy open-source Python code to split PDFs](https://github.com/stevedem/FormRecognizerAccelerator/blob/main/docs/04-deploy-function-app-to-split-pdfs.md)

Deploy [open-source Python code](https://github.com/stevedem/splitpdfs) to your Function App to split multi-page PDF files.

## Step 5: [Configure Logic App to split multi-page PDF documents to single-page PDF documents](https://github.com/stevedem/FormRecognizerAccelerator/blob/main/docs/05-split-pdfs-logic-app.md)

Create a Logic App to call your Azure Function App and save individual PDF files based on a multi-page PDF file input.

## Step 6: [Configure Logic App to send single-page PDF document data to REST API endpoint of trained custom document model](https://github.com/stevedem/FormRecognizerAccelerator/blob/main/docs/06-analyze-results-logic-app.md)

Leverage the REST API endpoint of a trained custom document model in Form Recognizer.

## Step 7: [Verify the results](https://github.com/stevedem/FormRecognizerAccelerator/blob/main/docs/07-verify-the-functionality.md)

Upload a multi-page PDF file and verify that the first Logic App produces single-page PDF files. Then, verify that the second Logic App sends each file to the custom model endpoint in Form Recognizer and saves the resulting JSON.

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