What changes
OCR creates a text file; it does not alter the source image. Line breaks and punctuation can differ from the original layout.
Extract text from an image
Extract English text from JPG, PNG, WebP or AVIF images using local browser OCR with no upload.
Runs locallyNo uploadYou control saved copies
English OCR on your device
The first run loads about 10 MB of versioned OCR files from this website. Later runs reuse the browser cache.
Clear, straight, high-contrast text works best. Always verify names, dates and numbers before using extracted text. Confidence is an engine score, not a measured accuracy percentage.
Recognition runs in a dedicated worker. The image is never uploaded.
Extract English text from an image locally
The OCR worker recognizes printed English characters and returns a read-only text preview plus an engine confidence estimate. Copy or download the text to edit it elsewhere. The source image never goes to an OCR service.
For a reliable result
- Choose a straight, high-contrast image with readable text.
- Start English OCR and let the versioned model run locally.
- Compare names, dates and numbers against the image before copying or downloading.
Check the download
Treat all results as a draft. Confidence is an engine score, not the percentage of correct characters. Similar characters such as O/0, I/l and punctuation require human verification.
Know before processing
Current recognition is English-only and does not preserve tables or exact typography. Handwriting and curved or blurred text may fail.
Quick answers
- Which language does image OCR recognize?
- The current local model recognizes printed English. It does not promise reliable handwriting, curved text, exact table structure or other writing systems.
- Why can similar characters be incorrect?
- Blur, low contrast and small type make characters such as O/0 and I/l difficult to distinguish. Treat confidence as a warning signal and verify names, dates and numbers manually.
Extract an English text draft and verify it against the image
Image OCR turns photographed or screenshot text into a separate plain-text result. It is useful when you need to copy a short printed passage, search its words or enter information into an editable document. The source image stays unchanged; the result does not recreate its typography, tables or layout.
Recognition is a transcription attempt, not verification. Letters and digits can be confused; text can be skipped or reordered. Review names, references, amounts and punctuation against the image. High confidence does not prove that every character is correct.
Prepare a source that OCR can read
| Your situation | Recommended approach |
|---|---|
| Clear printed English text in an image | Run the default English OCR and compare the result line by line. No language selector or word-confidence filter is provided on this page. |
| A photograph includes large surroundings | Crop to the useful text area first while retaining all necessary words. A straighter, closer source is usually more useful than enlarging a blurry one. |
| The source is a PDF | Use PDF text extraction for digital text, or Searchable PDF OCR when a scan needs a searchable PDF result. This page accepts an image, not a PDF. |
| Handwriting, another language or complex columns | Expect substantial manual review or use a workflow suited to that material. English OCR here does not guarantee reliable recognition of those sources. |
Check known words and numbers in the OCR sample
The ocr-example.png sample is a synthetic 1200 × 800 image with clear English text. It includes an invoice-like line for checking digits without using a real invoice.
- Choose ocr-example.png and select Extract English text. The first run may download the local engine and English model from this site.
- Compare the output with the heading BROWSER OCR SAMPLE and the line Invoice total 1250 rupees.
- Check Reference EXAMPLE 2048 and Review every number before sharing. Pay particular attention to the digit sequence and punctuation.
- Use Copy text or Download text. Open the resulting text in an editor and make any corrections there; the on-page result is read-only.
Expected result. The output is a text draft of the sample's printed lines, accompanied by word, character and engine-confidence statistics. Known sample phrases provide a check on this image only, not an accuracy rate for other photographs or documents.
Check the downloaded result
- Compare every critical digit and identifier with the source. Pay attention to O/0, I/l/1, decimal marks, punctuation and words broken across lines.
- Check reading order and missing lines. A correct-looking paragraph can omit a footnote, column or faint annotation.
- Use confidence as a prompt for review, not a percentage of verified characters. The displayed value comes from the OCR engine and is not an independent correctness measurement.
- Open the downloaded .txt file and confirm its contents. If no text was recognized, the preview message describes that state; it is not a transcription and the text output can be empty.
Troubleshooting
- No readable text is found
The image may be blurred, too small, low-contrast or contain material the English model cannot recognize reliably.
Try this: Use a sharper original or retake the photo with readable text and even light. Crop irrelevant surroundings before retrying; increasing image dimensions alone does not restore missing detail.
- Numbers or words look plausible but are wrong
OCR can substitute similar characters or infer a common word from unclear marks.
Try this: Correct the downloaded draft against the source. For important values, verify each character rather than accepting a word because it looks familiar or has high confidence.
- The first run takes longer or cannot load the engine
Versioned OCR files and the English model are fetched from this website before local recognition begins. Cache availability and network access affect startup.
Try this: Allow the required files to load and retry if the download failed. Local processing does not mean a fresh browser can run the model before its assets are available.
- Copy text is blocked or another OCR job is busy
Clipboard access depends on browser permission, and the shared OCR engine accepts one active recognition job at a time.
Try this: Download the text or select it manually when clipboard access fails. Finish or cancel the active OCR job before starting another one.
Limits and compatibility
- Recognition output
- This tool returns plain text from one JPG, PNG, WebP or AVIF image. It does not translate, summarize, preserve exact table cells or create a searchable image file.
- Local work
- Recognition runs in a browser worker using the English model. File and source-pixel limits depend on the device; keep the image and corrected text separately when both are needed.
Your files and form values are processed on this device. Downloaded copies remain wherever you save them. See how to check local processing and our privacy policy for site data and optional services.
Common questions
- Can I edit the recognition result on this page?
- The result box is read-only. Copy it into an editor or download the text file to correct mistakes and format the passage.
- Does a high OCR confidence mean I can skip review?
- No. It is an engine score, and a single incorrect number can matter even when the overall score is high. Compare important content with the image.
Continue your document workflow
Maintained by Shakti Prasad Ram. Found a mismatch? Report the tool, browser and steps without sending a sensitive document. Back to the tool