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Picture to text converter

Extract editable text from pictures, screenshots, scanned documents, and receipts directly in your browser tab using Tesseract.js WebAssembly OCR. No images are uploaded to any server or third-party service. Select recognition languages (English default, with Spanish, French, and German loaded on demand), apply canvas preprocessing filters (grayscale, binarization, inversion) to improve optical accuracy, view confidence scores, and copy or download the text file.

Client-only OCR. Your image is processed entirely inside your browser tab using Tesseract.js and never uploaded to any server.

Drop picture here or click to browse

Supports PNG, JPEG, WebP, and BMP. Runs client-side OCR without uploading.

Picture to text converter example

Extracting receipt itemization

Upload a receipt photo, apply High Contrast (Binarize) canvas filter to sharpen faint thermal ink, and click Extract Text with OCR. View recognition confidence (e.g. 94.2%), edit extracted line items, and download receipt-ocr.txt.

Picture to text converter how-to

  1. Stay on this page. Picture to text converter runs in the tab.
  2. Enter or drop your input here. The file or text is not posted to a server.
  3. Copy or download the result when it appears.

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Picture to text converter FAQ

What is a picture to text converter?
A picture to text converter turns the writing in a photo, screenshot, receipt or scan into text you can copy or edit. It uses optical character recognition (OCR) to read the letters in the image. This one runs that OCR locally in your browser, so the picture is never uploaded.
Does this picture to text converter upload my images to any server?
No. Optical character recognition (OCR) runs 100% client-side inside your browser tab using a WebAssembly build of Tesseract.js. Your photos, documents, and extracted text never leave your computer or phone.
Which languages are supported for text recognition?
English (eng) is loaded by default. You can also select Spanish (spa), French (fra), or German (deu), which download their lightweight trained language models lazily only when requested.
How does canvas preprocessing improve OCR accuracy?
Faint text, tinted paper, or low-contrast backgrounds can confuse OCR algorithms. Preprocessing converts pixels to grayscale, sharpens edges, or applies Otsu binarization to produce high-contrast black text on a pure white background before character analysis.
What does the OCR confidence score mean?
The confidence score (0% to 100%) represents the OCR engine's statistical certainty that the recognized characters match the glyphs in the image. Scores above 85% typically indicate highly accurate text recognition.
What image formats are supported?
You can process PNG, JPEG, WebP, and BMP images. For best results, use crisp, well-lit images with a resolution of at least 300 DPI.
How do I extract text from an image without this tool?
In terminal or Node.js, install Tesseract OCR (tesseract image.png output -l eng) or use the Tesseract.js library (const { createWorker } = require('tesseract.js'); const worker = await createWorker('eng'); const ret = await worker.recognize(image);). Everything runs locally without cloud APIs.