// Mindee: invoice with bank details leaves your infrastructure on this line
var response = await _client.ParseAsync<InvoiceV4>(new LocalInputSource("invoice.pdf"));
// IBAN, routing number, EIN, line items — all transmitted to 민디 cloud

// Mindee: invoice with bank details leaves your infrastructure on this line
var response = await _client.ParseAsync<InvoiceV4>(new LocalInputSource("invoice.pdf"));
// IBAN, routing number, EIN, line items — all transmitted to 민디 cloud

// IronOCR: same invoice, same result, zero data transmission
var result = new IronTesseract().Read("invoice.pdf");
// All processing local — bank details never leave your machine

// IronOCR: same invoice, same result, zero data transmission
var result = new IronTesseract().Read("invoice.pdf");
// All processing local — bank details never leave your machine

dotnet remove package Mindee

dotnet remove package Mindee

// Before (Mindee)
using Mindee;
using Mindee.Input;
using Mindee.Product.Invoice;
using Mindee.Product.Receipt;
using Mindee.Product.FinancialDocument;

// After (IronOCR)
using IronOcr;

// Before (Mindee)
using Mindee;
using Mindee.Input;
using Mindee.Product.Invoice;
using Mindee.Product.Receipt;
using Mindee.Product.FinancialDocument;

// After (IronOCR)
using IronOcr;

using Mindee;
using Mindee.Input;
using Mindee.Product.Invoice;

public class MindeeZoneExtractor
{
    private readonly MindeeClient _client;

    public MindeeZoneExtractor(string apiKey)
    {
        _client = new MindeeClient(apiKey);
    }

    public async Task<(string invoiceNumber, string supplierName, decimal? total)>
        ExtractKeyFieldsAsync(string filePath)
    {
        // Document transmitted to 민디 — spatial field detection happens server-side
        var inputSource = new LocalInputSource(filePath);
        var response    = await _client.ParseAsync<InvoiceV4>(inputSource);
        var prediction  = response.Document.Inference.Prediction;

        // Fields arrive pre-parsed; no zone configuration required on your end
        return (
            prediction.InvoiceNumber?.Value,
            prediction.SupplierName?.Value,
            prediction.TotalAmount?.Value
        );
    }
}

using Mindee;
using Mindee.Input;
using Mindee.Product.Invoice;

public class MindeeZoneExtractor
{
    private readonly MindeeClient _client;

    public MindeeZoneExtractor(string apiKey)
    {
        _client = new MindeeClient(apiKey);
    }

    public async Task<(string invoiceNumber, string supplierName, decimal? total)>
        ExtractKeyFieldsAsync(string filePath)
    {
        // Document transmitted to 민디 — spatial field detection happens server-side
        var inputSource = new LocalInputSource(filePath);
        var response    = await _client.ParseAsync<InvoiceV4>(inputSource);
        var prediction  = response.Document.Inference.Prediction;

        // Fields arrive pre-parsed; no zone configuration required on your end
        return (
            prediction.InvoiceNumber?.Value,
            prediction.SupplierName?.Value,
            prediction.TotalAmount?.Value
        );
    }
}

using IronOcr;
using System.Text.RegularExpressions;

public class IronOcrZoneExtractor
{
    private readonly IronTesseract _ocr = new IronTesseract();

    public (string invoiceNumber, string supplierName, string total)
        ExtractKeyFields(string filePath)
    {
        // Zone 1: supplier name — top 12% of document, full width
        var headerRegion = new CropRectangle(0, 0, 850, 120);
        using var headerInput = new OcrInput();
        headerInput.LoadImage(filePath, headerRegion);
        var supplierResult = _ocr.Read(headerInput);

        // Zone 2: invoice number and date — upper-right quadrant
        var metaRegion = new CropRectangle(450, 80, 400, 100);
        using var metaInput = new OcrInput();
        metaInput.LoadImage(filePath, metaRegion);
        var metaResult = _ocr.Read(metaInput);

        // Zone 3: totals block — bottom-right 20%
        var totalsRegion = new CropRectangle(500, 800, 350, 200);
        using var totalsInput = new OcrInput();
        totalsInput.LoadImage(filePath, totalsRegion);
        var totalsResult = _ocr.Read(totalsInput);

        var invoiceNumber = Regex.Match(
            metaResult.Text,
            @"Invoice\s*#?\s*:?\s*([A-Z0-9\-]+)",
            RegexOptions.IgnoreCase).Groups[1].Value;

        var total = Regex.Match(
            totalsResult.Text,
            @"Total\s*(?:Due)?\s*:?\s*\$?([\d,]+\.?\d*)",
            RegexOptions.IgnoreCase).Groups[1].Value;

        // Supplier name is the first substantial text line in the header zone
        var supplierName = supplierResult.Text
            .Split('\n')
            .FirstOrDefault(l => l.Trim().Length > 4)
            ?.Trim();

        return (invoiceNumber, supplierName, total);
    }
}

using IronOcr;
using System.Text.RegularExpressions;

public class IronOcrZoneExtractor
{
    private readonly IronTesseract _ocr = new IronTesseract();

    public (string invoiceNumber, string supplierName, string total)
        ExtractKeyFields(string filePath)
    {
        // Zone 1: supplier name — top 12% of document, full width
        var headerRegion = new CropRectangle(0, 0, 850, 120);
        using var headerInput = new OcrInput();
        headerInput.LoadImage(filePath, headerRegion);
        var supplierResult = _ocr.Read(headerInput);

        // Zone 2: invoice number and date — upper-right quadrant
        var metaRegion = new CropRectangle(450, 80, 400, 100);
        using var metaInput = new OcrInput();
        metaInput.LoadImage(filePath, metaRegion);
        var metaResult = _ocr.Read(metaInput);

        // Zone 3: totals block — bottom-right 20%
        var totalsRegion = new CropRectangle(500, 800, 350, 200);
        using var totalsInput = new OcrInput();
        totalsInput.LoadImage(filePath, totalsRegion);
        var totalsResult = _ocr.Read(totalsInput);

        var invoiceNumber = Regex.Match(
            metaResult.Text,
            @"Invoice\s*#?\s*:?\s*([A-Z0-9\-]+)",
            RegexOptions.IgnoreCase).Groups[1].Value;

        var total = Regex.Match(
            totalsResult.Text,
            @"Total\s*(?:Due)?\s*:?\s*\$?([\d,]+\.?\d*)",
            RegexOptions.IgnoreCase).Groups[1].Value;

        // Supplier name is the first substantial text line in the header zone
        var supplierName = supplierResult.Text
            .Split('\n')
            .FirstOrDefault(l => l.Trim().Length > 4)
            ?.Trim();

        return (invoiceNumber, supplierName, total);
    }
}

using Mindee;
using Mindee.Input;
using Mindee.Product.Receipt;

public class MindeeExpenseReportProcessor
{
    private readonly MindeeClient _client;

    public MindeeExpenseReportProcessor(string apiKey)
    {
        _client = new MindeeClient(apiKey);
    }

    public async Task<List<ExpenseSummary>> ProcessExpenseReportAsync(string pdfPath)
    {
        var summaries = new List<ExpenseSummary>();

        // 민디 processes per-document; each page of a PDF is a separate upload
        // For a 10-page expense report: 10 API calls, 10 pages billed
        var inputSource = new LocalInputSource(pdfPath);
        var response    = await _client.ParseAsync<ReceiptV5>(inputSource);

        var prediction = response.Document.Inference.Prediction;

        summaries.Add(new ExpenseSummary
        {
            MerchantName  = prediction.SupplierName?.Value,
            Date          = prediction.Date?.Value?.ToString(),
            TotalAmount   = prediction.TotalAmount?.Value ?? 0m,
            Category      = prediction.Category?.Value
        });

        return summaries;
    }
}

using Mindee;
using Mindee.Input;
using Mindee.Product.Receipt;

public class MindeeExpenseReportProcessor
{
    private readonly MindeeClient _client;

    public MindeeExpenseReportProcessor(string apiKey)
    {
        _client = new MindeeClient(apiKey);
    }

    public async Task<List<ExpenseSummary>> ProcessExpenseReportAsync(string pdfPath)
    {
        var summaries = new List<ExpenseSummary>();

        // 민디 processes per-document; each page of a PDF is a separate upload
        // For a 10-page expense report: 10 API calls, 10 pages billed
        var inputSource = new LocalInputSource(pdfPath);
        var response    = await _client.ParseAsync<ReceiptV5>(inputSource);

        var prediction = response.Document.Inference.Prediction;

        summaries.Add(new ExpenseSummary
        {
            MerchantName  = prediction.SupplierName?.Value,
            Date          = prediction.Date?.Value?.ToString(),
            TotalAmount   = prediction.TotalAmount?.Value ?? 0m,
            Category      = prediction.Category?.Value
        });

        return summaries;
    }
}

using IronOcr;
using System.Text.RegularExpressions;

public class IronOcrExpenseReportProcessor
{
    private readonly IronTesseract _ocr = new IronTesseract();

    public List<ExpenseSummary> ProcessExpenseReport(string pdfPath)
    {
        // Load entire multi-page PDF in one call — no per-page upload
        using var input = new OcrInput();
        input.LoadPdf(pdfPath);    // all pages loaded locally

        var result    = _ocr.Read(input);
        var summaries = new List<ExpenseSummary>();

        // Each page maps to one receipt in the expense report
        foreach (var page in result.Pages)
        {
            var pageText = page.Text;

            // Skip pages without receipt content
            if (!pageText.Contains("Total", StringComparison.OrdinalIgnoreCase))
                continue;

            var merchantName = page.Lines
                .FirstOrDefault(l => l.Text.Trim().Length > 4)
                ?.Text.Trim();

            var totalMatch = Regex.Match(
                pageText,
                @"(?:Total|Amount\s+Due|Grand\s+Total)\s*:?\s*\$?([\d,]+\.\d{2})",
                RegexOptions.IgnoreCase);

            var dateMatch = Regex.Match(
                pageText,
                @"\b(\d{1,2}[/-]\d{1,2}[/-]\d{2,4})\b");

            var categoryMatch = Regex.Match(
                pageText,
                @"(?:Category|Dept|Department)\s*:?\s*(.+)",
                RegexOptions.IgnoreCase);

            summaries.Add(new ExpenseSummary
            {
                PageNumber   = page.PageNumber,
                MerchantName = merchantName,
                Date         = dateMatch.Success ? dateMatch.Value : null,
                TotalAmount  = totalMatch.Success
                    ? decimal.Parse(totalMatch.Groups[1].Value.Replace(",", ""))
                    : 0m,
                Category     = categoryMatch.Success
                    ? categoryMatch.Groups[1].Value.Trim()
                    : null,
                Confidence   = page.Words.Any()
                    ? page.Words.Average(w => (double)w.Confidence)
                    : 0
            });
        }

        return summaries;
    }
}

public class ExpenseSummary
{
    public int    PageNumber   { get; set; }
    public string MerchantName { get; set; }
    public string Date         { get; set; }
    public decimal TotalAmount { get; set; }
    public string Category     { get; set; }
    public double Confidence   { get; set; }
}

using IronOcr;
using System.Text.RegularExpressions;

public class IronOcrExpenseReportProcessor
{
    private readonly IronTesseract _ocr = new IronTesseract();

    public List<ExpenseSummary> ProcessExpenseReport(string pdfPath)
    {
        // Load entire multi-page PDF in one call — no per-page upload
        using var input = new OcrInput();
        input.LoadPdf(pdfPath);    // all pages loaded locally

        var result    = _ocr.Read(input);
        var summaries = new List<ExpenseSummary>();

        // Each page maps to one receipt in the expense report
        foreach (var page in result.Pages)
        {
            var pageText = page.Text;

            // Skip pages without receipt content
            if (!pageText.Contains("Total", StringComparison.OrdinalIgnoreCase))
                continue;

            var merchantName = page.Lines
                .FirstOrDefault(l => l.Text.Trim().Length > 4)
                ?.Text.Trim();

            var totalMatch = Regex.Match(
                pageText,
                @"(?:Total|Amount\s+Due|Grand\s+Total)\s*:?\s*\$?([\d,]+\.\d{2})",
                RegexOptions.IgnoreCase);

            var dateMatch = Regex.Match(
                pageText,
                @"\b(\d{1,2}[/-]\d{1,2}[/-]\d{2,4})\b");

            var categoryMatch = Regex.Match(
                pageText,
                @"(?:Category|Dept|Department)\s*:?\s*(.+)",
                RegexOptions.IgnoreCase);

            summaries.Add(new ExpenseSummary
            {
                PageNumber   = page.PageNumber,
                MerchantName = merchantName,
                Date         = dateMatch.Success ? dateMatch.Value : null,
                TotalAmount  = totalMatch.Success
                    ? decimal.Parse(totalMatch.Groups[1].Value.Replace(",", ""))
                    : 0m,
                Category     = categoryMatch.Success
                    ? categoryMatch.Groups[1].Value.Trim()
                    : null,
                Confidence   = page.Words.Any()
                    ? page.Words.Average(w => (double)w.Confidence)
                    : 0
            });
        }

        return summaries;
    }
}

public class ExpenseSummary
{
    public int    PageNumber   { get; set; }
    public string MerchantName { get; set; }
    public string Date         { get; set; }
    public decimal TotalAmount { get; set; }
    public string Category     { get; set; }
    public double Confidence   { get; set; }
}

using Mindee;
using Mindee.Input;
using Mindee.Product.Invoice;

public class MindeeScanProcessor
{
    private readonly MindeeClient _client;

    public MindeeScanProcessor(string apiKey)
    {
        _client = new MindeeClient(apiKey);
    }

    public async Task<ScanResult> ProcessScannedInvoiceAsync(string scanPath)
    {
        // 민디 applies internal normalization — no developer control over preprocessing
        var inputSource = new LocalInputSource(scanPath);
        var response    = await _client.ParseAsync<InvoiceV4>(inputSource);
        var prediction  = response.Document.Inference.Prediction;

        return new ScanResult
        {
            InvoiceNumber = prediction.InvoiceNumber?.Value,
            Total         = prediction.TotalAmount?.Value,
            // Per-field confidence: only proxy for scan quality
            InvoiceNumberConfidence = prediction.InvoiceNumber?.Confidence,
            TotalConfidence         = prediction.TotalAmount?.Confidence
        };
    }
}

using Mindee;
using Mindee.Input;
using Mindee.Product.Invoice;

public class MindeeScanProcessor
{
    private readonly MindeeClient _client;

    public MindeeScanProcessor(string apiKey)
    {
        _client = new MindeeClient(apiKey);
    }

    public async Task<ScanResult> ProcessScannedInvoiceAsync(string scanPath)
    {
        // 민디 applies internal normalization — no developer control over preprocessing
        var inputSource = new LocalInputSource(scanPath);
        var response    = await _client.ParseAsync<InvoiceV4>(inputSource);
        var prediction  = response.Document.Inference.Prediction;

        return new ScanResult
        {
            InvoiceNumber = prediction.InvoiceNumber?.Value,
            Total         = prediction.TotalAmount?.Value,
            // Per-field confidence: only proxy for scan quality
            InvoiceNumberConfidence = prediction.InvoiceNumber?.Confidence,
            TotalConfidence         = prediction.TotalAmount?.Confidence
        };
    }
}

using IronOcr;
using System.Text.RegularExpressions;

public class IronOcrScanProcessor
{
    private readonly IronTesseract _ocr = new IronTesseract();

    public ScanResult ProcessScannedInvoice(string scanPath)
    {
        // First pass: read without preprocessing
        var quickResult = _ocr.Read(scanPath);

        OcrResult result;

        if (quickResult.Confidence < 75)
        {
            // Low confidence — apply full preprocessing pipeline
            using var input = new OcrInput();
            input.LoadImage(scanPath);
            input.Deskew();       // correct page rotation up to ±45 degrees
            input.DeNoise();      // remove scanner artifacts and speckle
            input.Contrast();     // normalize contrast for faded or overexposed scans
            input.Sharpen();      // sharpen blurred text edges

            result = _ocr.Read(input);
        }
        else
        {
            result = quickResult;
        }

        var invoiceNumber = Regex.Match(
            result.Text,
            @"Invoice\s*(?:Number|#|No\.?)?\s*:?\s*([A-Z0-9\-]+)",
            RegexOptions.IgnoreCase).Groups[1].Value;

        var total = Regex.Match(
            result.Text,
            @"(?:Total|Amount\s+Due)\s*:?\s*\$?([\d,]+\.\d{2})",
            RegexOptions.IgnoreCase).Groups[1].Value;

        return new ScanResult
        {
            InvoiceNumber    = invoiceNumber,
            Total            = total,
            DocumentConfidence = result.Confidence,
            PreprocessingApplied = quickResult.Confidence < 75
        };
    }
}

public class ScanResult
{
    public string InvoiceNumber        { get; set; }
    public string Total                { get; set; }
    public double DocumentConfidence   { get; set; }
    public bool   PreprocessingApplied { get; set; }
}

using IronOcr;
using System.Text.RegularExpressions;

public class IronOcrScanProcessor
{
    private readonly IronTesseract _ocr = new IronTesseract();

    public ScanResult ProcessScannedInvoice(string scanPath)
    {
        // First pass: read without preprocessing
        var quickResult = _ocr.Read(scanPath);

        OcrResult result;

        if (quickResult.Confidence < 75)
        {
            // Low confidence — apply full preprocessing pipeline
            using var input = new OcrInput();
            input.LoadImage(scanPath);
            input.Deskew();       // correct page rotation up to ±45 degrees
            input.DeNoise();      // remove scanner artifacts and speckle
            input.Contrast();     // normalize contrast for faded or overexposed scans
            input.Sharpen();      // sharpen blurred text edges

            result = _ocr.Read(input);
        }
        else
        {
            result = quickResult;
        }

        var invoiceNumber = Regex.Match(
            result.Text,
            @"Invoice\s*(?:Number|#|No\.?)?\s*:?\s*([A-Z0-9\-]+)",
            RegexOptions.IgnoreCase).Groups[1].Value;

        var total = Regex.Match(
            result.Text,
            @"(?:Total|Amount\s+Due)\s*:?\s*\$?([\d,]+\.\d{2})",
            RegexOptions.IgnoreCase).Groups[1].Value;

        return new ScanResult
        {
            InvoiceNumber    = invoiceNumber,
            Total            = total,
            DocumentConfidence = result.Confidence,
            PreprocessingApplied = quickResult.Confidence < 75
        };
    }
}

public class ScanResult
{
    public string InvoiceNumber        { get; set; }
    public string Total                { get; set; }
    public double DocumentConfidence   { get; set; }
    public bool   PreprocessingApplied { get; set; }
}

using Mindee;
using Mindee.Input;
using Mindee.Product.Invoice;

public class MindeeArchiveProcessor
{
    private readonly MindeeClient _client;

    public MindeeArchiveProcessor(string apiKey)
    {
        _client = new MindeeClient(apiKey);
    }

    public async Task ArchiveInvoiceAsync(string scanPath, string archivePath)
    {
        // Extract fields via 민디 (document transmitted to cloud)
        var inputSource = new LocalInputSource(scanPath);
        var response    = await _client.ParseAsync<InvoiceV4>(inputSource);
        var prediction  = response.Document.Inference.Prediction;

        // 민디 returns no PDF output — searchable PDF requires a separate library
        // (e.g., iTextSharp, PdfSharp, or a separate OCR library)
        // The scan at scanPath is the only PDF available for archiving;
        // it remains image-only with no embedded text layer
        Console.WriteLine($"Fields extracted. Searchable PDF: not available from Mindee.");
        Console.WriteLine($"Invoice: {prediction.InvoiceNumber?.Value}");
    }
}

using Mindee;
using Mindee.Input;
using Mindee.Product.Invoice;

public class MindeeArchiveProcessor
{
    private readonly MindeeClient _client;

    public MindeeArchiveProcessor(string apiKey)
    {
        _client = new MindeeClient(apiKey);
    }

    public async Task ArchiveInvoiceAsync(string scanPath, string archivePath)
    {
        // Extract fields via 민디 (document transmitted to cloud)
        var inputSource = new LocalInputSource(scanPath);
        var response    = await _client.ParseAsync<InvoiceV4>(inputSource);
        var prediction  = response.Document.Inference.Prediction;

        // 민디 returns no PDF output — searchable PDF requires a separate library
        // (e.g., iTextSharp, PdfSharp, or a separate OCR library)
        // The scan at scanPath is the only PDF available for archiving;
        // it remains image-only with no embedded text layer
        Console.WriteLine($"Fields extracted. Searchable PDF: not available from Mindee.");
        Console.WriteLine($"Invoice: {prediction.InvoiceNumber?.Value}");
    }
}

using IronOcr;
using System.Text.RegularExpressions;

public class IronOcrArchiveProcessor
{
    private readonly IronTesseract _ocr = new IronTesseract();

    public ArchiveResult ArchiveInvoice(string scanPath, string archiveOutputPath)
    {
        // Apply preprocessing before recognition and archiving
        using var input = new OcrInput();
        input.LoadPdf(scanPath);   // works with both PDF scans and image files
        input.Deskew();
        input.DeNoise();

        var result = _ocr.Read(input);

        // Extract fields from the same recognition pass
        var invoiceNumber = Regex.Match(
            result.Text,
            @"Invoice\s*#?\s*:?\s*([A-Z0-9\-]+)",
            RegexOptions.IgnoreCase).Groups[1].Value;

        var vendor = result.Pages.FirstOrDefault()?.Lines
            .FirstOrDefault(l => l.Text.Trim().Length > 4)
            ?.Text.Trim();

        var totalMatch = Regex.Match(
            result.Text,
            @"Total\s*(?:Due)?\s*:?\s*\$?([\d,]+\.\d{2})",
            RegexOptions.IgnoreCase);

        // Write searchable PDF to archive in one call — no separate library needed
        result.SaveAsSearchablePdf(archiveOutputPath);

        return new ArchiveResult
        {
            InvoiceNumber    = invoiceNumber,
            VendorName       = vendor,
            Total            = totalMatch.Success ? totalMatch.Groups[1].Value : null,
            ArchivePath      = archiveOutputPath,
            DocumentConfidence = result.Confidence,
            PageCount        = result.Pages.Count()
        };
    }
}

public class ArchiveResult
{
    public string InvoiceNumber      { get; set; }
    public string VendorName         { get; set; }
    public string Total              { get; set; }
    public string ArchivePath        { get; set; }
    public double DocumentConfidence { get; set; }
    public int    PageCount          { get; set; }
}

using IronOcr;
using System.Text.RegularExpressions;

public class IronOcrArchiveProcessor
{
    private readonly IronTesseract _ocr = new IronTesseract();

    public ArchiveResult ArchiveInvoice(string scanPath, string archiveOutputPath)
    {
        // Apply preprocessing before recognition and archiving
        using var input = new OcrInput();
        input.LoadPdf(scanPath);   // works with both PDF scans and image files
        input.Deskew();
        input.DeNoise();

        var result = _ocr.Read(input);

        // Extract fields from the same recognition pass
        var invoiceNumber = Regex.Match(
            result.Text,
            @"Invoice\s*#?\s*:?\s*([A-Z0-9\-]+)",
            RegexOptions.IgnoreCase).Groups[1].Value;

        var vendor = result.Pages.FirstOrDefault()?.Lines
            .FirstOrDefault(l => l.Text.Trim().Length > 4)
            ?.Text.Trim();

        var totalMatch = Regex.Match(
            result.Text,
            @"Total\s*(?:Due)?\s*:?\s*\$?([\d,]+\.\d{2})",
            RegexOptions.IgnoreCase);

        // Write searchable PDF to archive in one call — no separate library needed
        result.SaveAsSearchablePdf(archiveOutputPath);

        return new ArchiveResult
        {
            InvoiceNumber    = invoiceNumber,
            VendorName       = vendor,
            Total            = totalMatch.Success ? totalMatch.Groups[1].Value : null,
            ArchivePath      = archiveOutputPath,
            DocumentConfidence = result.Confidence,
            PageCount        = result.Pages.Count()
        };
    }
}

public class ArchiveResult
{
    public string InvoiceNumber      { get; set; }
    public string VendorName         { get; set; }
    public string Total              { get; set; }
    public string ArchivePath        { get; set; }
    public double DocumentConfidence { get; set; }
    public int    PageCount          { get; set; }
}

using Mindee;
using Mindee.Input;
using Mindee.Product.FinancialDocument;

public class MindeeFinancialRouter
{
    private readonly MindeeClient _client;

    public MindeeFinancialRouter(string apiKey)
    {
        _client = new MindeeClient(apiKey);
    }

    public async Task<FinancialSummary> ProcessFinancialDocumentAsync(string filePath)
    {
        // All financial documents uploaded for auto-detection and parsing
        var inputSource = new LocalInputSource(filePath);
        var response    = await _client.ParseAsync<FinancialDocumentV1>(inputSource);
        var prediction  = response.Document.Inference.Prediction;

        return new FinancialSummary
        {
            DocumentType  = prediction.DocumentType?.Value,  // "INVOICE" or "RECEIPT"
            InvoiceNumber = prediction.InvoiceNumber?.Value,
            Date          = prediction.Date?.Value?.ToString(),
            TotalAmount   = prediction.TotalAmount?.Value,
            SupplierName  = prediction.SupplierName?.Value,
            CustomerName  = prediction.CustomerName?.Value
        };
    }
}

using Mindee;
using Mindee.Input;
using Mindee.Product.FinancialDocument;

public class MindeeFinancialRouter
{
    private readonly MindeeClient _client;

    public MindeeFinancialRouter(string apiKey)
    {
        _client = new MindeeClient(apiKey);
    }

    public async Task<FinancialSummary> ProcessFinancialDocumentAsync(string filePath)
    {
        // All financial documents uploaded for auto-detection and parsing
        var inputSource = new LocalInputSource(filePath);
        var response    = await _client.ParseAsync<FinancialDocumentV1>(inputSource);
        var prediction  = response.Document.Inference.Prediction;

        return new FinancialSummary
        {
            DocumentType  = prediction.DocumentType?.Value,  // "INVOICE" or "RECEIPT"
            InvoiceNumber = prediction.InvoiceNumber?.Value,
            Date          = prediction.Date?.Value?.ToString(),
            TotalAmount   = prediction.TotalAmount?.Value,
            SupplierName  = prediction.SupplierName?.Value,
            CustomerName  = prediction.CustomerName?.Value
        };
    }
}

using IronOcr;
using System.Text.RegularExpressions;

public class IronOcrFinancialRouter
{
    private readonly IronTesseract _ocr = new IronTesseract();

    public FinancialSummary ProcessFinancialDocument(string filePath)
    {
        var result = _ocr.Read(filePath);
        var text   = result.Text;

        // Detect document type using structural keywords from word data
        var isInvoice = DetectInvoice(result);

        if (isInvoice)
        {
            return new FinancialSummary
            {
                DocumentType  = "INVOICE",
                InvoiceNumber = Regex.Match(text,
                    @"Invoice\s*#?\s*:?\s*([A-Z0-9\-]+)",
                    RegexOptions.IgnoreCase).Groups[1].Value,
                Date          = Regex.Match(text,
                    @"(?:Invoice\s+)?Date\s*:?\s*(\d{1,2}[/-]\d{1,2}[/-]\d{2,4})",
                    RegexOptions.IgnoreCase).Groups[1].Value,
                TotalAmount   = ParseAmount(text,
                    @"Total\s*(?:Due|Amount)?\s*:?\s*\$?([\d,]+\.\d{2})"),
                SupplierName  = ExtractTopLine(result),
                CustomerName  = Regex.Match(text,
                    @"Bill\s+To\s*:?\s*\n?(.+)",
                    RegexOptions.IgnoreCase).Groups[1].Value.Trim()
            };
        }
        else
        {
            // Receipt structure: merchant at top, no "Bill To" section
            return new FinancialSummary
            {
                DocumentType = "RECEIPT",
                Date         = Regex.Match(text,
                    @"\b(\d{1,2}[/-]\d{1,2}[/-]\d{2,4})\b").Value,
                TotalAmount  = ParseAmount(text,
                    @"(?:Total|Amount\s+Due|Grand\s+Total)\s*:?\s*\$?([\d,]+\.\d{2})"),
                SupplierName = ExtractTopLine(result)
            };
        }
    }

    private bool DetectInvoice(OcrResult result)
    {
        // Invoice indicators: "Invoice", "Bill To", "Due Date", line items with quantities
        var text = result.Text;
        var invoiceSignals = new[] { "Invoice", "Bill To", "Due Date", "Purchase Order" };
        return invoiceSignals.Any(s =>
            text.IndexOf(s, StringComparison.OrdinalIgnoreCase) >= 0);
    }

    private string ExtractTopLine(OcrResult result)
    {
        return result.Pages
            .FirstOrDefault()
            ?.Lines
            .FirstOrDefault(l => l.Text.Trim().Length > 4)
            ?.Text.Trim();
    }

    private decimal? ParseAmount(string text, string pattern)
    {
        var match = Regex.Match(text, pattern, RegexOptions.IgnoreCase);
        if (match.Success &&
            decimal.TryParse(match.Groups[1].Value.Replace(",", ""), out var val))
            return val;
        return null;
    }
}

public class FinancialSummary
{
    public string   DocumentType  { get; set; }
    public string   InvoiceNumber { get; set; }
    public string   Date          { get; set; }
    public decimal? TotalAmount   { get; set; }
    public string   SupplierName  { get; set; }
    public string   CustomerName  { get; set; }
}

using IronOcr;
using System.Text.RegularExpressions;

public class IronOcrFinancialRouter
{
    private readonly IronTesseract _ocr = new IronTesseract();

    public FinancialSummary ProcessFinancialDocument(string filePath)
    {
        var result = _ocr.Read(filePath);
        var text   = result.Text;

        // Detect document type using structural keywords from word data
        var isInvoice = DetectInvoice(result);

        if (isInvoice)
        {
            return new FinancialSummary
            {
                DocumentType  = "INVOICE",
                InvoiceNumber = Regex.Match(text,
                    @"Invoice\s*#?\s*:?\s*([A-Z0-9\-]+)",
                    RegexOptions.IgnoreCase).Groups[1].Value,
                Date          = Regex.Match(text,
                    @"(?:Invoice\s+)?Date\s*:?\s*(\d{1,2}[/-]\d{1,2}[/-]\d{2,4})",
                    RegexOptions.IgnoreCase).Groups[1].Value,
                TotalAmount   = ParseAmount(text,
                    @"Total\s*(?:Due|Amount)?\s*:?\s*\$?([\d,]+\.\d{2})"),
                SupplierName  = ExtractTopLine(result),
                CustomerName  = Regex.Match(text,
                    @"Bill\s+To\s*:?\s*\n?(.+)",
                    RegexOptions.IgnoreCase).Groups[1].Value.Trim()
            };
        }
        else
        {
            // Receipt structure: merchant at top, no "Bill To" section
            return new FinancialSummary
            {
                DocumentType = "RECEIPT",
                Date         = Regex.Match(text,
                    @"\b(\d{1,2}[/-]\d{1,2}[/-]\d{2,4})\b").Value,
                TotalAmount  = ParseAmount(text,
                    @"(?:Total|Amount\s+Due|Grand\s+Total)\s*:?\s*\$?([\d,]+\.\d{2})"),
                SupplierName = ExtractTopLine(result)
            };
        }
    }

    private bool DetectInvoice(OcrResult result)
    {
        // Invoice indicators: "Invoice", "Bill To", "Due Date", line items with quantities
        var text = result.Text;
        var invoiceSignals = new[] { "Invoice", "Bill To", "Due Date", "Purchase Order" };
        return invoiceSignals.Any(s =>
            text.IndexOf(s, StringComparison.OrdinalIgnoreCase) >= 0);
    }

    private string ExtractTopLine(OcrResult result)
    {
        return result.Pages
            .FirstOrDefault()
            ?.Lines
            .FirstOrDefault(l => l.Text.Trim().Length > 4)
            ?.Text.Trim();
    }

    private decimal? ParseAmount(string text, string pattern)
    {
        var match = Regex.Match(text, pattern, RegexOptions.IgnoreCase);
        if (match.Success &&
            decimal.TryParse(match.Groups[1].Value.Replace(",", ""), out var val))
            return val;
        return null;
    }
}

public class FinancialSummary
{
    public string   DocumentType  { get; set; }
    public string   InvoiceNumber { get; set; }
    public string   Date          { get; set; }
    public decimal? TotalAmount   { get; set; }
    public string   SupplierName  { get; set; }
    public string   CustomerName  { get; set; }
}

var result  = _ocr.Read("invoice.jpg");
var allWords = result.Pages.First().Words;

// Find the word "Total" and read the region 50px to its right
var totalLabel = allWords.FirstOrDefault(w =>
    w.Text.Equals("Total", StringComparison.OrdinalIgnoreCase));

if (totalLabel != null)
{
    var valueRegion = new CropRectangle(
        totalLabel.X + totalLabel.Width + 5,
        totalLabel.Y - 5,
        200,
        totalLabel.Height + 10);

    using var valueInput = new OcrInput();
    valueInput.LoadImage("invoice.jpg", valueRegion);
    var valueResult = _ocr.Read(valueInput);
    Console.WriteLine($"Total: {valueResult.Text.Trim()}");
}

var result  = _ocr.Read("invoice.jpg");
var allWords = result.Pages.First().Words;

// Find the word "Total" and read the region 50px to its right
var totalLabel = allWords.FirstOrDefault(w =>
    w.Text.Equals("Total", StringComparison.OrdinalIgnoreCase));

if (totalLabel != null)
{
    var valueRegion = new CropRectangle(
        totalLabel.X + totalLabel.Width + 5,
        totalLabel.Y - 5,
        200,
        totalLabel.Height + 10);

    using var valueInput = new OcrInput();
    valueInput.LoadImage("invoice.jpg", valueRegion);
    var valueResult = _ocr.Read(valueInput);
    Console.WriteLine($"Total: {valueResult.Text.Trim()}");
}

// Existing async signature preserved for callers
public async Task<string> ExtractInvoiceNumberAsync(string filePath)
{
    return await Task.Run(() =>
    {
        var result = new IronTesseract().Read(filePath);
        return Regex.Match(result.Text,
            @"Invoice\s*#?\s*:?\s*([A-Z0-9\-]+)",
            RegexOptions.IgnoreCase).Groups[1].Value;
    });
}

// Existing async signature preserved for callers
public async Task<string> ExtractInvoiceNumberAsync(string filePath)
{
    return await Task.Run(() =>
    {
        var result = new IronTesseract().Read(filePath);
        return Regex.Match(result.Text,
            @"Invoice\s*#?\s*:?\s*([A-Z0-9\-]+)",
            RegexOptions.IgnoreCase).Groups[1].Value;
    });
}

using var input = new OcrInput();
input.LoadImage("faded-invoice.jpg");
input.Deskew();
input.DeNoise();
input.Contrast();    // for faded or low-contrast thermal paper receipts
input.Binarize();    // convert to clean black-and-white before recognition
var result = new IronTesseract().Read(input);

using var input = new OcrInput();
input.LoadImage("faded-invoice.jpg");
input.Deskew();
input.DeNoise();
input.Contrast();    // for faded or low-contrast thermal paper receipts
input.Binarize();    // convert to clean black-and-white before recognition
var result = new IronTesseract().Read(input);

// appsettings.json: remove "Mindee:ApiKey"
// Firewall: revoke egress rule for api.mindee.net
// Startup.cs or Program.cs:
IronOcr.License.LicenseKey = Configuration["IronOcr:LicenseKey"];
// 아니요 rotation schedule, no secure storage beyond standard config secret management

// appsettings.json: remove "Mindee:ApiKey"
// Firewall: revoke egress rule for api.mindee.net
// Startup.cs or Program.cs:
IronOcr.License.LicenseKey = Configuration["IronOcr:LicenseKey"];
// 아니요 rotation schedule, no secure storage beyond standard config secret management

using var input = new OcrInput();
input.LoadPdf("vendor-statement.pdf");   // 12 pages — no billing unit increment
var result = new IronTesseract().Read(input);

foreach (var page in result.Pages)
    Console.WriteLine($"Page {page.PageNumber}: {page.Text.Length} characters recognized");

using var input = new OcrInput();
input.LoadPdf("vendor-statement.pdf");   // 12 pages — no billing unit increment
var result = new IronTesseract().Read(input);

foreach (var page in result.Pages)
    Console.WriteLine($"Page {page.PageNumber}: {page.Text.Length} characters recognized");

var result  = _ocr.Read(filePath);
var summary = result.Text.IndexOf("Invoice", StringComparison.OrdinalIgnoreCase) >= 0
    ? ExtractInvoiceFields(result)
    : ExtractReceiptFields(result);

var result  = _ocr.Read(filePath);
var summary = result.Text.IndexOf("Invoice", StringComparison.OrdinalIgnoreCase) >= 0
    ? ExtractInvoiceFields(result)
    : ExtractReceiptFields(result);

grep -r "using Mindee" --include="*.cs" .
grep -r "MindeeClient\|ParseAsync\|InvoiceV4\|ReceiptV5\|PassportV1\|FinancialDocumentV1" --include="*.cs" .
grep -r "LocalInputSource\|MindeeException" --include="*.cs" .
grep -r "Mindee:ApiKey\|mindee_api_key\|MINDEE_API_KEY" --include="*.json" --include="*.env" --include="*.yml" .

grep -r "using Mindee" --include="*.cs" .
grep -r "MindeeClient\|ParseAsync\|InvoiceV4\|ReceiptV5\|PassportV1\|FinancialDocumentV1" --include="*.cs" .
grep -r "LocalInputSource\|MindeeException" --include="*.cs" .
grep -r "Mindee:ApiKey\|mindee_api_key\|MINDEE_API_KEY" --include="*.json" --include="*.env" --include="*.yml" .