Image to Text Converter (OCR)

How Do You Convert an Image to Editable Text?

Choose an image, select Text language, and click Extract text. The converter reads visible characters with optical character recognition (OCR) and returns editable plain text. It handles up to 10 images in one queue, with individual rotation and an optional region for each image. You can review doubtful words, correct the result, and save one TXT file per image or combine completed results. No account or helper application is required.

For example, use a photograph named receipt.jpg containing the printed lines Bread 2.40 and Milk 1.80. Select English, rotate if necessary, and select the receipt area before starting. Compare the recognized lines against the photo, correcting any lost decimal point in Recognized text (editable). Download .txt saves your current text as receipt.txt. This is a review workflow, not a promised transcription: the converter does not add those amounts, identify receipt fields, or verify that an extracted total is correct.

What Images Work Best for OCR?

Image to Text Converter turns visible writing into editable plain text using optical character recognition. Clean screenshots of application messages, printed instructions, and document pages are useful starting points because their letters have stable edges. A photograph of a receipt also works when the paper is flat, the print is dark, and the camera captures the whole passage in focus. Recognition reads the image pixels; it does not retrieve hidden text from another application or connect to the document's original source.

Use the output to recover a paragraph from a screenshot, collect a short printed checklist, or avoid retyping receipt details. Always compare names, amounts, dates, and identifiers against the source before using them. English, Turkish, German, French, Spanish, Portuguese, and Italian models are available. Mixed scripts, unusual typography, and stylized lettering are reasons to inspect the output closely. A confident result still needs review when the text matters.

How Can You Prepare a Clearer Image?

Start with a straight photo taken in even light. Keep the camera parallel to the page to avoid perspective distortion, and move reflections away from printed lines. Rotate the image with the Rotate 90° button until the text is upright. If the source contains a small passage inside a large photograph, select a region directly in the preview, or use Image Cropper first. Only the selected region is sent to local recognition.

Before recognition, this tool downsizes images whose longest side exceeds 2,400 pixels and converts them to grayscale. Smaller images are not enlarged. Transparent pixels are drawn on white so dark text remains readable. These steps control the recognition workload, but cannot restore missing detail. Strong contrast helps; heavy compression and repeated screenshots of screenshots can damage letter edges. Keep an original copy before using Image Compressor for unrelated sharing needs.

What Happens to Large Images and Selected Regions?

The preparation scale is the smaller of 1 and 2,400 divided by the longest source side. Each scaled dimension is rounded to a whole pixel. A 4,000 × 3,000 image therefore uses a scale of 0.6 and becomes 2,400 × 1,800 before recognition. A 90° rotation swaps that prepared size to 1,800 × 2,400. A 1,200 × 800 screenshot stays at its original dimensions because the tool does not upscale smaller inputs.

Region selection crops this prepared canvas, after resizing, rotation, and grayscale conversion. A region covering half its width and height in the unrotated large-image example is 1,200 × 900 pixels. Selecting it reduces surrounding distractions but does not restore the original resolution. To retain more detail in a small passage, crop the original with Image Cropper before choosing the resulting file here. The built-in Rotate 90° control changes orientation in quarter turns; it does not straighten a slightly skewed page or correct perspective.

To choose a region without dragging, focus the image and press Enter. Arrow keys move the region; Alt + arrows resize it. Clear region returns to whole-image recognition. Rotation removes the selection, so rotate first and select afterward. In a batch, use the image selector to inspect each source and set its own region before extracting the queue.

Which OCR Limitations Should You Check?

Handwriting is less predictable than printed type. Small text, faint thermal receipts, decorative fonts, skewed pages, and shadows all reduce the information available to the recognizer. A blurry character cannot become a certain letter simply because the output is editable. Try a closer image or a cropped region rather than repeatedly running the same unclear source. The file limit is 20 MB, but a compressed image can still decode into a large pixel buffer, especially on a phone.

Tables and columns need particular care. OCR extracts words without promising a faithful reading order, so an amount can appear separated from its row label. The TXT download contains plain text, not table cells, font choices, or a searchable PDF. For animated GIFs, only the first frame is read. This tool does not accept PDF input; use an image of the relevant page when you need this workflow.

How Do You Review and Export the Result?

The result textarea is editable. Correct spelling and spacing there, then use Copy or Download .txt to export your edited text. The download keeps the source filename stem and replaces its extension with .txt. If no text is recognized, return to the image preview and try another orientation or a clearer source. Choose another image clears the selection and results so you can start a fresh run. Back to image returns to the preview but also clears all results, including corrections on other images. Copy or download any text you want to keep before using either action.

The low confidence list contains recognized words with scores below 60, along with their scores and a count. Toggle confidence highlights to inspect those words in a read-only rendering of the original OCR output. That view does not mirror your edits and does not recreate the page layout. Treat its marks as places to inspect, rather than an automatic spelling correction. Unmarked words can still be wrong, particularly in unfamiliar names and reference codes.

How Do Languages and Multiple Images Work Together?

Text language offers English, Turkish, German, French, Spanish, Portuguese, and Italian. The initial choice follows a supported browser language, falling back to English otherwise; check it against the actual document. Second language (optional) adds another model for bilingual text. It is a recognition setting, not a translation command. Selecting Turkish and English does not translate Turkish sentences into English, and selecting the same language twice does not load two different copies of that model.

Both language choices apply to every image in the run. Split unrelated documents into separate runs when they need different language settings. Images are recognized sequentially in selection order. For a batch, expand a filename to inspect and edit its result. Copy all and Download all .txt combine the current text from completed results, with a filename separator before every result after the first; the combined file is named recognized-images.txt. It is a single text file, not a ZIP of separate documents.

The file check rejects empty images, unsupported image types, files over the per-image size limit, and selections exceeding 10 images. Passing those checks does not guarantee successful image decoding or readable characters. If recognition reports no text, use Back to image and try a clearer source or another rotation. Save useful results first because returning to preparation clears the existing results rather than preserving a history of attempts.

Where Does Processing Happen and What Loads First?

Your image never leaves the device. Recognition runs in a browser worker using the locally loaded OCR engine and selected models, with no account or helper app. The available compressed language models range from about 0.71 MB for French to 2.95 MB for English, plus the worker and engine assets from this site. The language selectors display individual model sizes; only the selected models load. An initial run needs access to these assets. A download is not an upload of your image, and local recognition does not mean that a first visit needs no network connection.

Stage progress covers core loading, language loading, and recognition rather than promising a fixed completion time. Cancel stops an initialized worker; cancellation during initialization closes the pending worker when loading finishes. Workers are also terminated after the image queue finishes and when you leave the tool. Image preview URLs are revoked when replaced or removed. If you later share the source screenshot, use Screenshot Anonymizer to cover private areas in that image; extracting text does not redact the original pixels.