Photo to Text

The Aspose.OCR Photo to Text for .NET Plugin is designed to extract text from everyday photos—snapshots, receipts, signs, documents, or notes. Advanced pre-processing ensures high recognition accuracy, even with challenging images.

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Photo to Text Key Features

  1. Accurate Text Extraction from Photos Recognize text in mobile or camera images, handling common issues like blur, tilt, glare, and uneven lighting.

  2. Automatic Preprocessing and Correction Auto-rotate, deskew, denoise, and enhance images before OCR for best results.

  3. Multi-Language and Handwriting Support Extract text in many world languages and from basic handwritten notes.

  4. Batch Photo Processing Convert multiple photos to text in a single workflow, ideal for field teams or bulk archiving.

  5. Flexible Export Formats Save recognized text as TXT, PDF, DOCX, HTML, or structured JSON for easy integration.

  6. Watermark-Free Output Unlock full plugin functionality and watermark-free results by applying your metered license with SetMeteredKey().

Where Can the Photo to Text Plugin Be Used?

  • Mobile Data Entry: Digitize notes, receipts, business cards, or field data directly from phone photos.
  • Travel and Logistics: Extract text from signs, tickets, or package labels on the go.
  • Academic and Research: Capture quotes, book excerpts, or handwritten notes for study and sharing.
  • Customer Service and Onboarding: Automate info capture from ID cards, forms, or contracts photographed by clients.
  • Digital Archiving: Convert legacy printed photos or historical images into searchable, digital text.

Basic Example: Extract Text from a Photo 

using Aspose.OCR;

string photoFile = "receipt_photo.jpg";
OcrInput input = new OcrInput(InputType.SingleImage);
input.Add(photoFile);
RecognitionSettings settings = new RecognitionSettings();
settings.Language = Language.English;
settings.DetectAreasMode = DetectAreasMode.PHOTO;
AsposeOcr ocr = new AsposeOcr();
var results = ocr.Recognize(input, settings);
Console.WriteLine(results[0].RecognitionText);
 English