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3 OCR Tools Extract Text from Images without Retyping

AnonyViet by AnonyViet
November 8, 2025
in Tips
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Is getting the text in the photo an obsession for you? But that’s okay, now there are many tools to help you extract text from images into Word files. You don’t need to look at the image and type out every word. There is a tool to help get text from images called OCR.

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Optical character recognition, or OCR, is the process of converting typed or handwritten text from media such as scanned documents or images into alphabetic characters.

Although some OCR tools may scan text from images with errors, depending on the clarity of the text in the image. Using OCR to extract text from images can save you hours of typing every word.

For example, your teacher sends you a photo of a subject document, and you want to convert it into text so it’s easier to read, edit and print. You need an OCR tool to convert the text in the image into text.

In this article, let’s explore three of the best OCR tools for extracting text from images. You do not need to install it on your computer because it will transfer online right on the website.

Normally I use it Google Drive to get text in photos, But it doesn’t have advanced features, so I usually choose 1 of the 3 tools below:

OnlineOCR

OnlineOCR is one of the simplest and fastest ways to convert images or PDF files into many different text formats.

No need to create an account, OnlineOCR.net will allow you to convert up to 15 images to text per hour. Signing up for an account gives you access to features like multi-page PDF document conversion and better features.

OnlineOCR.net Supports conversion from PDF, JPG, BMP, TIFF and GIF formats, export as DOCX (Word), XLSX (Excel) or TXT (Text).

OnlineOCR.net can recognize text in English, Afrikaans, Albanian, Basque, Brazilian, Bulgarian, Catalan, Chinese, Croatian, Czech, Danish, Dutch, Esperanto, Estonian, Finnish, French, Galician, German, Greek, Hungarian, Icelandic, Indonesian, Italian, Japanese, Korean, Latin, Latvian, Lithuanian, Macedonian, Malay, Moldavian, Norwegian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swedish, Tagalog, Turkish and Ukrainian.

OnlineOCR image conversion

The conversion process has just three simple steps. You upload an image or pdf file that needs text extraction, up to 15 MB, choose your language and output format and click the button Convert.

After getting the text in the image, you will see the text extraction results in the box below. If seen OnlineOCR Correctly extracted, you can download the file and use it.

download out ocr file

Disadvantages: Vietnamese is not supported yet.

NewOCR – Get text in images with Vietnamese support

NewOCR Currently only provides the feature to retrieve text from image files that support Vietnamese, but it supports a few other interesting features that many online OCR sites do not have.

To start using NewOCR, just click the button Choose Fileselect the image you want to get text from, then click the button Preview. This will then display a preview of your image and offer some additional options.

NewOCR extracts and publishes Vietnamese English images

Unlike most other image-to-text converters, NewOCR allow you Set multiple languages identification. This can be quite helpful if you Not sure about text language What language is written in the image?

If your image is off to one side, you can too Automatically rotate images there. Once you have applied the necessary options, you can click the button OCR to extract the text of the image.

The results of the Vietnamese test are still in English

From here, you can download the extracted text in TXT, DOC, or PDF format, or send it straight to Google Translate or Google Docs for further editing.

OCR.space

Last but not least, OCR.space The most functional application used to convert images into text. This page has up to 2 tools to scan images and help you compare the output to see which tool’s text is better extracted from the image.

OCR.space is one of the best OCR tools that supports WEBP file format. Additionally, PNG, JPG and PDF are also supported. Additionally, you don’t have to upload a file – you can enter the image link and the website will automatically download it and convert it into text for you.

Other relevant features include auto-rotate, border scanning, auto-zoom (if the image is small)… OCR.space is one of the only OCR engines that supports exporting results as PDF, and you can even choose between one of two different OCR engines for the best possible extraction.

All you have to do is download the image you want to get text or enter the link of that image, click on it Start OCR!. A preview of your results will automatically load on the same page. Then press the Download button to download the file.

One of the most interesting and unique features of OCR.space is that it can publish your extraction as JSON. This JSON will have fields including each word in the text and their coordinates on the image itself. This is a very appreciated feature if you are a programmer trying to programmatically extract text from images.

The only downside is that it does not support Vietnamese yet.

With the three image text extraction tools above, extracting text from any image clearly and easily will save you a lot of time. Even if you are a fast typist, it will definitely not be as fast as this OCR tool. In addition, I often use Google Doc to translate or install software ABBYY FineReader 15 – Convert images into text on your computer for use when there is no Internet.

Frequently asked questions

Do I need to install any software to use these OCR tools?

No need! All OCR tools mentioned in the article work online so you do not need to install any software.

Do these OCR tools support Vietnamese?

Only NewOCR supports Vietnamese. OnlineOCR and OCR.space are not currently supported.

What types of files can I use these tools to extract text from?

The tools support a variety of formats, including JPG, PNG, PDF, and several others. Please check the detailed information of each tool in the article for more details.

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