Image to Text Converter Online

Extract editable text from photos, screenshots and scanned images with multilingual OCR, practical image cleanup controls, batch recognition and downloadable TXT, JSON or CSV output.

How to convert an image to text online

Use the OCR image-to-text converter in three practical steps. It works for document photos, screenshots, scans, receipts, notices, slides and other images containing printed text.

Upload, drop or paste an image

Add JPG, PNG, WebP, BMP, GIF, HEIC/HEIF or TIFF images. You can select a batch or paste a screenshot directly from the clipboard.

Choose language and OCR settings

Select the text language, page layout and enhancement preset. Use rotation, upscaling, contrast, threshold or sharpening for difficult photos and scans.

Edit, copy or download the text

Review the recognized text, correct OCR mistakes, use find and replace, then copy it or download TXT, JSON or CSV output.

Image to text OCR for photos, screenshots and scanned documents

An image to text converter uses optical character recognition (OCR) to turn visible characters inside a picture into editable, searchable text. This page can be used as a JPG to text converter, PNG to text converter, photo to text tool, picture to text extractor, screenshot to text utility and scanned image OCR workspace.

The converter is designed for real OCR work rather than a single upload button. It can process several images in sequence, reuse one OCR worker for the whole batch, recognize multiple writing systems, improve low-contrast or small text before recognition, and keep every image result separate while also producing one combined editable text area.

Common uses include copying text from screenshots, digitizing printed study notes, extracting paragraphs from document photos, reading notices and forms, capturing text from presentation slides, converting scanned pages into editable text, and recovering printed information from receipts or invoices. OCR is probabilistic, so names, serial numbers, decimal values and other important data should always be checked against the original image.

OCR features that improve recognition quality

Good OCR depends on the source image and recognition settings. These controls address the factors that most often affect text extraction.

Multilingual OCR

Recognize Latin, Bengali, Devanagari, Arabic, Cyrillic, Chinese, Japanese, Korean and other supported scripts with dedicated trained language data.

Batch image to text

Queue multiple images and reuse one OCR worker instead of repeatedly loading the recognition engine for every image.

Image preprocessing

Upscale small text, rotate pages, increase contrast, sharpen edges, apply black-and-white thresholding or invert dark screenshots.

Layout-aware OCR

Use document, single-column, sparse-text, single-line or single-word page segmentation to better match the source image.

Editable OCR result

Correct recognition errors directly in the result box and use find/replace before copying or exporting the final text.

TXT, JSON and CSV export

Download plain text, structured per-image OCR data or spreadsheet-friendly CSV. Download names automatically use the CorrectionCopy prefix.

Supported image formats and OCR languages

The browser validates the actual file signature before OCR. HEIC/HEIF and TIFF use additional format decoders only when those files are selected.

Input	Typical use	Recognition note
JPG / JPEG	Phone photos, camera images, saved documents	High-resolution, well-focused photos generally OCR best.
PNG	Screenshots, diagrams, app screens	Usually excellent for crisp digital text and UI screenshots.
WebP	Web images and downloaded graphics	Works when the browser can decode the image normally.
BMP / GIF	Legacy images and simple graphics	GIF recognition uses the browser-decoded visible frame.
HEIC / HEIF	iPhone and Apple photos	A pinned HEIC decoder is loaded only when required.
TIFF	Scanned pages and archival images	The first/largest readable TIFF image directory is used for OCR.

Language / profile	Model	Script or use
English	eng	Latin
Bengali / Bangla	ben	Bengali
Hindi	hin	Devanagari
Urdu	urd	Perso-Arabic
Arabic	ara	Arabic
Chinese (Simplified)	chi_sim	Han
Chinese (Traditional)	chi_tra	Han
Japanese	jpn	Kanji / Kana
Korean	kor	Hangul
Spanish	spa	Latin
French	fra	Latin
German	deu	Latin
Portuguese	por	Latin
Russian	rus	Cyrillic
Indonesian	ind	Latin
Italian	ita	Latin
Dutch	nld	Latin
Turkish	tur	Latin
Polish	pol	Latin
Vietnamese	vie	Latin
Nigerian Pidgin	eng	Latin
Egyptian Arabic	ara	Arabic

Language tip: select only languages actually present in the image. Loading many unrelated OCR models uses more memory and can make recognition slower or more ambiguous. Nigerian Pidgin uses the English model; Egyptian Arabic uses the Arabic model.

Popular ways to extract text from images

Different source images benefit from different OCR settings.

JPG to text and photo to text

Convert a clear phone photo of a printed page, sign, notice, form or class handout into editable text without manually retyping it.

PNG and screenshot to text

Copy text from app screens, error messages, online classes, subtitles, social graphics or web content that cannot be selected directly.

Receipt and invoice OCR

Extract merchant names, item lines, totals and reference numbers. Financial values should always be verified against the original image.

Scanned document to text

Digitize printed pages and archived scans. Faded pages often improve with the scan preset, thresholding and the correct text language.

Bangla, Hindi and Urdu image to text

Select Bengali, Hindi or Urdu trained data for South Asian scripts. Sharp characters and a straight page improve OCR accuracy.

Arabic, Chinese, Japanese and Korean OCR

Use the dedicated script model instead of English-only recognition. Mixed-language documents can load several selected models together.

OCR accuracy, privacy and practical limitations

Printed text is the main target. Clear machine-printed text normally recognizes more reliably than handwriting, decorative fonts, curved lettering, perspective-distorted photos or text covered by glare and shadows. Very neat block handwriting may produce partial results, but this page is not presented as a handwriting-recognition engine.

OCR does not understand a document perfectly. Similar characters such as 0/O, 1/l/I, punctuation, unusual symbols, names and decimal values can be confused. Tables, columns and complex page layouts may be returned as plain reading-order text rather than preserving the original visual document structure.

Image contents are processed in your browser. Selected images and recognized text are not uploaded to CorrectionCopy for OCR. The browser does download the pinned OCR runtime, selected language data and—only when needed—HEIC or TIFF decoder code from external package/CDN sources. Clearing the tool releases local previews and results from this page session.

Large jobs depend on the device. There is no artificial file-size or image-count limit for local processing. The tool processes files sequentially and adaptively limits OCR canvas dimensions to reduce memory pressure. Very large images, many languages or long batches can still be slower on phones with limited memory.

Image to text troubleshooting

No text was detected

Check that the image contains readable printed text, choose the correct language, try Document or Sparse Text layout, and increase contrast or upscale small characters.

The result has many wrong characters

Use a sharper source image, rotate the page correctly, remove glare or shadows, choose only the languages in the document, and test the Enhanced accuracy model.

The first OCR run is slow

The browser must load the OCR engine and trained language data. Language files can be cached by supported browsers, so later runs with the same model may start faster.

OCR stops on a large photo or batch

Close memory-heavy tabs, try Fast mode, reduce the number of selected language models or process fewer very large images at one time. Completed files remain separate from failed ones.

HEIC or TIFF cannot open

These formats require a lazy decoder download. Check the network/content-security policy and try converting the source to JPG or PNG with the Image Converter if the decoder is blocked.

Text order is wrong

Try another page-layout mode. Use Single Column for a clean vertical document or Sparse Text when words are placed around a screenshot or poster.

Image to text converter FAQ

What is an image to text converter?

It is an OCR tool that analyzes characters visible inside an image and returns editable machine-readable text that can be copied, corrected, searched or downloaded.

Can I convert JPG to text or PNG to text?

Yes. JPG/JPEG and PNG are supported directly, along with WebP, BMP, GIF, HEIC/HEIF and TIFF image input.

Can I extract text from a screenshot?

Yes. Upload the screenshot or paste it with Ctrl/Cmd + V. Sparse Text mode can help when text is positioned in separate areas of the screen.

Can I use this as a photo to text converter on iPhone or Android?

Yes. Modern mobile browsers can select gallery images and screenshots. HEIC/HEIF photos use an additional decoder when native browser decoding is unavailable.

Does it support Bengali or Bangla OCR?

Yes. Choose Bengali / Bangla before recognition. Clear printed Bangla with good resolution and contrast generally performs better than blurred or decorative text.

Can it recognize Hindi, Urdu and Arabic text?

Yes. Dedicated Hindi, Urdu and Arabic trained models are available. The result area supports automatic text direction, although mixed numbers and punctuation should still be reviewed.

Can it read Chinese, Japanese or Korean images?

Yes. Simplified Chinese, Traditional Chinese, Japanese and Korean OCR models are available. Select only the scripts present in the image.

Can I extract text from several images at once?

Yes. Add a batch of images. The tool processes them sequentially with one reusable OCR worker and keeps per-image results plus one combined editable text area.

Is there a file-size or batch limit?

There is no artificial user-facing file-size or image-count limit because processing is local. Practical capacity depends on image dimensions, selected language models, browser memory and the device.

Can the OCR converter read handwriting?

It is designed primarily for printed text. Very neat block handwriting may partly work, but cursive, stylized or overlapping handwriting usually has lower accuracy.

Why does OCR make mistakes?

Blur, glare, perspective distortion, low resolution, compression, decorative fonts, wrong language selection and incorrect page segmentation can all reduce recognition accuracy.

Are my images uploaded to CorrectionCopy?

No. The OCR workflow processes selected images in the browser. The page downloads the OCR runtime and language files when needed, and optional HEIC/TIFF decoder code for those formats.

What can I download after OCR?

You can download the edited combined text as TXT, structured OCR results as JSON, or per-image text and confidence data as CSV.

Does the tool preserve tables and document formatting?

No. OCR primarily returns recognized text in reading order. Complex tables, columns, forms and visual formatting may need manual cleanup after extraction.

Which OCR model should I choose?

Enhanced accuracy uses larger trained data and is the default for difficult scans. Fast mode uses smaller language data and may be preferable on lower-memory phones or for simpler printed text.

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