How to Read Multi-Frame/Page GIFs and TIFFs

Chaknith Bin

Updated:July 28, 2025

TIFF (Tagged Image File Format) is a popular format for high-quality images. It supports lossless compression, making it suitable for images that need to maintain their original quality, such as scanned documents or professional photography.

GIF (Graphics Interchange Format) is a format primarily used for simple, web-friendly images and animations. GIF supports both lossless and lossy compression. It's known for its ability to include animations in a single file, making it popular for short, looping animations often seen on websites and in messaging apps.

IronOCR provides the capability to read both single and multiple frame/page GIFs and TIFFs. Simply import the image file using one of our methods, and the method will do the rest.

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First Step:

How to Read Multi-Frame/Page GIFs and TIFFs

Download a C# library for reading multi-frame GIFs and TIFFs
Utilize the OcrImageInput class to import a single/multi-frame TIFF
Employ the Read method to perform OCR
Use the same class to import GIF images
Define the reading area by specifying the crop region

Read a Single/Multi-Frame TIFF Example

To perform OCR, first instantiate the IronTesseract class. Utilize the using statement to create the OcrImageInput object. This constructor supports both single-frame and multi-frame TIFF and TIF formats. Finally, apply the Read method to perform OCR on the imported TIFF file.

:path=/static-assets/ocr/content-code-examples/how-to/input-tiff-gif-read-tiff.cs

using IronOcr;

// Instantiate IronTesseract
IronTesseract ocrTesseract = new IronTesseract();

// Import TIFF/TIF
using var imageInput = new OcrImageInput("Potter.tiff");
// Perform OCR
OcrResult ocrResult = ocrTesseract.Read(imageInput);

Imports IronOcr

' Instantiate IronTesseract
Private ocrTesseract As New IronTesseract()

' Import TIFF/TIF
Private imageInput = New OcrImageInput("Potter.tiff")
' Perform OCR
Private ocrResult As OcrResult = ocrTesseract.Read(imageInput)

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Read GIF Example

Similarly, simply specify the GIF file path while constructing the OcrImageInput class. The constructor will handle all the necessary steps to import the image.

:path=/static-assets/ocr/content-code-examples/how-to/input-tiff-gif-read-gif.cs

using IronOcr;

// Instantiate IronTesseract
IronTesseract ocrTesseract = new IronTesseract();

// Import GIF
using var imageInput = new OcrImageInput("Potter.gif");
// Perform OCR
OcrResult ocrResult = ocrTesseract.Read(imageInput);

Imports IronOcr

' Instantiate IronTesseract
Private ocrTesseract As New IronTesseract()

' Import GIF
Private imageInput = New OcrImageInput("Potter.gif")
' Perform OCR
Private ocrResult As OcrResult = ocrTesseract.Read(imageInput)

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Specify Scan Region

You can include a CropRectangle object when constructing the OcrImageInput class, allowing you to define a specific area within the image document for OCR. This can greatly enhance performance, especially for large image documents.

:path=/static-assets/ocr/content-code-examples/how-to/input-images-read-specific-region.cs

using IronOcr;
using IronSoftware.Drawing;
using System;

// Instantiate IronTesseract
IronTesseract ocrTesseract = new IronTesseract();

// Specify crop region
Rectangle scanRegion = new Rectangle(800, 200, 900, 400);

// Add image
using var imageInput = new OcrImageInput("Potter.tiff", ContentArea: scanRegion);
// Perform OCR
OcrResult ocrResult = ocrTesseract.Read(imageInput);

// Output the result to console
Console.WriteLine(ocrResult.Text);

Imports IronOcr
Imports IronSoftware.Drawing
Imports System

' Instantiate IronTesseract
Private ocrTesseract As New IronTesseract()

' Specify crop region
Private scanRegion As New Rectangle(800, 200, 900, 400)

' Add image
Private imageInput = New OcrImageInput("Potter.tiff", ContentArea:= scanRegion)
' Perform OCR
Private ocrResult As OcrResult = ocrTesseract.Read(imageInput)

' Output the result to console
Console.WriteLine(ocrResult.Text)

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OCR Result

Frequently Asked Questions

What is the advantage of using TIFF format?

TIFF format supports lossless compression, making it suitable for maintaining original quality in images such as scanned documents or professional photography.

What makes GIF format popular?

GIF is popular for its ability to include animations in a single file, making it ideal for short, looping animations on websites and messaging apps. It supports both lossless and lossy compression.

Can you read multi-frame GIFs and TIFFs with a specific tool?

Yes, you can use IronOCR to read both single and multiple frame/page GIFs and TIFFs using its OcrImageInput class and Read method.

How do you start using a library for multi-frame GIFs and TIFFs?

To get started, download the IronOCR C# library for reading multi-frame GIFs and TIFFs from NuGet, and use the OcrImageInput class to import and read the images.

What is the OcrImageInput class used for in a specific OCR tool?

The OcrImageInput class in IronOCR is used to import single or multi-frame TIFF and GIF images for OCR processing.

How can you specify a scan region for OCR with a specific library?

You can specify a scan region in IronOCR by including a CropRectangle object when constructing the OcrImageInput class, allowing you to define a specific area within the image document for OCR.

What is the advantage of specifying a scan region in a certain OCR tool?

Specifying a scan region in IronOCR can greatly enhance performance, especially for large image documents, by focusing OCR efforts on a defined area.

What does the Read method do in an OCR library?

The Read method in IronOCR performs Optical Character Recognition on the imported image, extracting text from single or multi-frame GIFs and TIFFs.

How do you perform OCR on a GIF file using a certain tool?

To perform OCR on a GIF file, specify the GIF file path when constructing the OcrImageInput class in IronOCR, and use the Read method to extract text.

What is IronTesseract in the context of a specific OCR library?

IronTesseract is a class in IronOCR used to instantiate and execute OCR processes on image files, including multi-frame TIFFs and GIFs.

Chaknith Bin

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Software Engineer

Chaknith is the Sherlock Holmes of developers. It first occurred to him he might have a future in software engineering, when he was doing code challenges for fun. His focus is on IronXL and IronBarcode, but he takes pride in helping customers with every product. Chaknith leverages his knowledge from talking directly with customers, to help further improve the products themselves. His anecdotal feedback goes beyond Jira tickets and supports product development, documentation and marketing, to improve customer’s overall experience.When he isn’t in the office, he can be found learning about machine learning, coding and hiking.