ETTVI’s Image to Text Converter
A must-have tool for students, researchers, bankers, and writers!
Using the OCR Technology, ETTVI’s Image to Text Converter extracts the image text to make it editable and searchable - digitize textbooks, newspapers, logbooks, and class notes.
The multilingual text recognition feature enables the ETTVI’s Image to Text Converter to identify and extract all types of languages whereas the multiple format support feature allows the processing of all image formats including PNG and JPEG. The users can easily save the extracted text in any document format e.g. TXT - just the way required.
Just upload the document image and select the language to enable this advanced tool to extract and save the image text.
ETTVI’s advanced Image to Text Converter helps the users to:
convert hand-written documents into machine-readable data
fetch text from posters, banners, and infographics
download editable text in any format
Anyone can convert images into text - process scanned documents, screenshots of web pages, or social media posts to extract the text for free of cost.
A Useful Corpus Tool!
ETTVI’s Image to Text Converter enables linguistic researchers to develop corpora for a quick language analysis. It easily processes the image-based data to convert it into machine-readable corpus material - a reliable and structured language resource.
Leverage this easy-to-use corpus tool to collect multilingual corpora for a computer-based empirical annotation, abstraction, and analysis of language in real-time.
How to Use ETTVI’s Image to Text Converter?
Follow these steps to extract text from image with ETTVI’s advanced tool:
STEP 1 - Upload Image
Upload an image from your system as follows:
STEP 2 - Select Language
Specify the language of the image text as follows:
STEP 3 - Run the Tool
Run ETTVI’s Image to Text Converter for data extraction as follows:
STEP 4 - Check Results
ETTVI’s advanced Image to Text Converter will process the given image to extract the data and display it in the “Result” section as follows:
STEP 5 - Save Results
Click on “Download” to save the extracted text in your system as follows:
Why Use ETTVI’s Image to Text Converter?
ETTVI has made the digitization of handwritten documents easier than ever! Just take the picture of the document and process it through ETTVI’s advanced Text Extractor to convert it into the machine-readable form.
ETTVI’s Image to Text Converter offers:
Multiple Format Support
The users can upload images in png, jpg, or jpeg format to extract the written data and save it as a docx file in their computer or mobile system. The user-friendly interface of ETTVI’s Image to Text Converter makes it easier to process images and extract text in the required format.
Multi-language Support
ETTVI’s Image to Text Converter uses its built-in multilingual text recoginition technology for the accurate apprehension of the language in which the image data has been written. It can identify and extract text in almost all languages including English, Korean, French, Germanic, and Chinese.
Accuracy & Authenticity
Designed and developed with absolute profundity. ETTVI’s Image to Text Converter extracts the text from the images with human-level precision. Its OCR technology makes sure that the users can easily extract the written data from both high and low-resolution images.
One-click Downloading
ETTVI’s Text Extractor provides the convenience to store the extracted text in the connected device. With just one click, it downloads the results as a document file. The users can easily find and use the download button to save the data extracted from the given image whenever and however required.
Privacy Protection
ETTVI’s Text Extractor ensures the security of user data. It neither stores nor shares the given data with anyone. The users can entrust this advanced tool to extract text from any image as it immediately deletes the user data from its database after the completion of the task.
All-device Compatibility
ETTVI’s Text Extractor is accessible from all computer devices including smartphones, tablets, and laptops. It is compatible with all operating systems and web browsers.
Free Unlimited Access
ETTVI enables its users to use the advanced Image to Text Converter for free of cost. People from all around the world can leverage this tool to convert images into text regardless of any limit.
Understanding Optical Character Recognition Technology
Optical Character Recognition Technology enables the extraction of text from images. If you have written data in the form of images then you can use an OCR-based tool to convert the JPG/JPEG format into TXT format.
OCR has made data processing easier. If the data is in image form e.g. JPG, PNG format then the OCR technology helps you to convert it into editable form.
Types
There are four different types of OCR technology which includes:
Optical character recognition (OCR)
Optical Word Recognition (OWR)
Intelligent Character Recognition (ICR)
Intelligent Word Recognition (IWR)
Working
OCR-based tools analyze the given scanned page or image to recognize groups of characters (words) written on it. The OCR database (dictionary) enables the tool to identify the characters and words. Once the words are identified, it translates the image data into editable text format.
Keep in mind that the accuracy of extracted text depends on various factors including:
Performance of OCR Tool
Image Quality (resolution)
Fonts (size, type, and style)
Scanned Page Background
Text Layout
Language (type and script)
Applications
OCR engines have been developed into a wide range of domain-specific OCR softwares. In short, the OCR Technology can be used for:
Data Entry
Automatic Number Plate Identification
Passport Identification
Automatic Information Extraction from Insurance Documents
Traffic Sign RecognitionBusiness Card Information Extraction (into a contact list)
Book Scanning (to make printed documents editable and searchable)
Corpora Collection
Moreover, OCR-based tools helps to:
Digitize Handwritten Documents (pen computing)
Validate CAPTCHA Anti-bot Systems
Assist Visually Impaired Computer Users
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