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Image to Text

Extract readable text from JPG, PNG, WebP, TIFF and other supported images using OCR, with multiple language support and optional multi-image processing.

Selected Files

Total Size

OCR Language

Choose the language used in the image text so the OCR engine can recognise words and characters more accurately.

Select the main language visible in the uploaded images.

Text Layout

Choose how SwiftVecto should interpret the arrangement of text in the image.

Automatic Page Layout works well for most documents. Choose another mode when the text arrangement is known.

Choosing the Right OCR Layout

Automatic Page Layout

Best general-purpose option for photographed pages, scanned documents, screenshots and ordinary text layouts.

Single Block of Text

Useful when the image contains one clear rectangular block of text, such as a cropped paragraph or document section.

Multiple Columns

Better for newspaper-style pages, reports or documents containing several columns of text.

Sparse Text

Useful when words or labels are scattered around the image instead of appearing in normal paragraphs.

Before You Begin

  • Upload between 1 and 20 supported images.
  • Each image can be up to 25 MB.
  • Supported formats include JPG, JPEG, PNG, WebP, TIFF and BMP.
  • Choose the language that most closely matches the text in the images.
  • Multiple images are processed in upload order.
  • When several images are uploaded, their OCR results are combined into one TXT file.
  • If one image in a multi-image batch cannot be recognised, SwiftVecto continues processing the remaining images and records the failed image in the output notes.
  • Your original images remain unchanged.

OCR Languages

SwiftVecto currently supports the OCR language packs installed on the server.

Arabic Chinese (Simplified) Chinese (Traditional) Czech Danish Dutch English Finnish French German Greek Hindi Italian Japanese Korean Norwegian Polish Portuguese Romanian Russian Spanish Swedish Turkish Ukrainian

Selecting the correct language usually improves recognition accuracy, especially for accented characters and non-Latin scripts.

Multiple Image OCR

Several images can be converted into one ordered text document. 

Image 1: page-1.jpg
========================================================================

Recognised text from the first image...


Image 2: page-2.jpg
========================================================================

Recognised text from the second image...

For a single uploaded image, SwiftVecto returns only the recognised text without adding an image heading.

Better Images Produce Better OCR

Sharp text, good lighting, high contrast and straight document pages generally produce more accurate OCR results.

Editable TXT Output

The recognised content is saved as UTF-8 plain text, making it easy to copy, edit, search or import into another application.

OCR Is Not Always Exact

Recognition accuracy depends on image quality, font style, document layout and language. Handwriting, tables, unusual fonts, damaged documents and heavily distorted photographs may require manual correction after extraction.

Ready to Process

Your files are processed securely and automatically deleted after processing.

Continue with These Tools

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How to Extract Text From an Image

Upload one or more images containing printed or clearly visible text, choose the OCR language, and SwiftVecto will recognise the text and create a downloadable TXT file.

Overview

The SwiftVecto Image to Text tool uses optical character recognition to extract text from photographs, screenshots, scanned pages and document images. It supports multiple OCR languages, can process several images in one request, preserves text order as closely as possible, and generates an editable UTF-8 text file.

Benefits

Extract text from images using OCR.
Convert JPG and JPEG images to text.
Convert PNG images to text.
Convert WebP images to text.
Convert supported TIFF and BMP images to text.
Process multiple images in one conversion.
Preserve the upload order of multiple images.
Combine multi-image OCR into one text document.
Choose from multiple installed OCR languages.
Preserve leading text and line breaks where recognised.
Generate a downloadable TXT file.
Use the same OCR language infrastructure as SwiftVecto PDF OCR.
Leave the original images unchanged.

How It Works

Upload one or more supported images.

Choose the language used in the image text.

SwiftVecto prepares each image in an isolated processing workspace.

Tesseract OCR analyses the image and recognises visible text.

Recognised lines and paragraphs are normalised while preserving useful line breaks.

If several images are uploaded, the OCR results are combined in the same order.

Unreadable images are reported when processing a multi-image batch.

The extracted content is written into a UTF-8 TXT file.

Download the generated text file.

How to Use This Tool

  1. 1
    Choose or drop one or more images.
  2. 2
    Select the language used in the document or image.
  3. 3
    Choose the OCR layout mode if available.
  4. 4
    Start the OCR conversion.
  5. 5
    Wait while SwiftVecto analyses the image text.
  6. 6
    Download the generated TXT file.

Helpful Tips

  • Use sharp, high-resolution images for better OCR accuracy.
  • Make sure the text is not heavily blurred or pixelated.
  • Avoid strong glare and reflections over the text.
  • Keep photographed documents as straight as possible.
  • Use the correct OCR language for the source document.
  • Good contrast between text and background improves recognition.
  • Printed text is usually recognised more reliably than handwriting.
  • Crop unnecessary borders or backgrounds where possible.
  • For multi-page documents, upload the images in the order you want the extracted text to appear.
  • Review OCR output before relying on it for important records.

Common Uses

Extract text from a screenshot.

Convert a photographed letter into editable text.

Read text from a scanned document page.

Extract invoice text from an image.

Convert a JPG containing printed text into TXT.

Process several photographed pages into one text file.

Extract German, French, Spanish or Arabic text from an image.

Worked Examples

The following examples demonstrate how this tool can be used in realistic scenarios.

Screenshot to text

Upload a screenshot containing readable text, select the appropriate language and download the recognised content as a TXT file.

Photographed document

A clear photograph of a printed page can be analysed using OCR and converted into editable text.

Multiple page images

Upload several photographed pages in order. SwiftVecto processes them one by one and combines the recognised text into a single TXT file.

Non-English text

Choose the matching installed OCR language to improve recognition of accented characters, non-Latin alphabets and language-specific text.

Common Mistakes

Avoid these common mistakes to achieve the most accurate results.

  • Using a blurry or very low-resolution image.
  • Selecting the wrong OCR language.
  • Uploading an image where the text is too small to read clearly.
  • Using extreme perspective distortion.
  • Expecting OCR to preserve the exact visual layout of the source document.
  • Expecting handwritten text to be recognised as reliably as clean printed text.
  • Assuming OCR output is always error-free.
  • Uploading unsupported or corrupted image files.

Glossary

Definitions of the most important terms used by this tool.

OCR

Optical Character Recognition, a process that detects and converts visible text in images into machine-readable text.

Tesseract

An open-source OCR engine used to recognise text in supported image formats.

OCR Language

The language model used by the OCR engine to recognise characters and words more accurately.

Page Segmentation Mode

A Tesseract setting that describes how text is arranged on the image, such as a full page, a single block or a sparse layout.

TXT

A plain-text file containing editable text without document formatting.

Optical Character Recognition

Technology used to identify printed or visible characters from scanned pages, screenshots and photographs.

Frequently Asked Questions

Can I extract text from an image?

Yes. SwiftVecto uses OCR to recognise visible text in supported images and creates a downloadable text file.

Can I convert JPG to text?

Yes. JPG and JPEG images are supported.

Can I convert PNG to text?

Yes. PNG images can be processed using OCR.

Can I convert a screenshot to text?

Yes. Screenshots with clear readable text are suitable for OCR.

Can I upload multiple images?

Yes. Multiple images can be processed in one request and their OCR results are combined in upload order.

What happens if one image cannot be read?

For multi-image processing, SwiftVecto continues with successful images and records which images could not be recognised.

Does it support different languages?

Yes. SwiftVecto can use the OCR language packs installed on the server, including English, German, French, Spanish, Arabic, Chinese, Japanese, Korean, Hindi, Russian and others.

Can it recognise handwriting?

OCR may recognise some clear handwriting, but printed text is generally much more reliable.

Will the original formatting be preserved?

Not exactly. TXT output preserves recognised text and useful line breaks, but it does not reproduce fonts, tables, images or complex page layout.

Why is some OCR text incorrect?

Recognition accuracy depends on image resolution, lighting, focus, contrast, font style, language selection and document layout.

Are my images changed?

No. The original images remain unchanged while OCR runs on temporary working copies.

What happens to my uploaded images after processing?

The processing pipeline uses an isolated working directory and removes temporary OCR files during cleanup.

Things to Know

  • OCR quality depends heavily on source image quality.
  • Printed text is generally more reliable than handwriting.
  • One or multiple images can be processed.
  • Multiple images are processed in upload order.
  • The selected OCR language must be installed on the SwiftVecto server.
  • Recognised text is written as UTF-8.
  • The generated result is a TXT file.
  • The original source images are not modified.
  • No PDF conversion is required for normal image OCR.

Disclaimer

OCR results may contain recognition errors and should be reviewed before use.

SwiftVecto does not guarantee perfect recognition of handwriting, damaged documents, unusual fonts or low-quality images.

OCR output should be independently verified before being used for legal, medical, financial, safety-critical or other important purposes.

Complex document layouts such as tables, forms, columns and diagrams may not be reproduced accurately in plain-text output.

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