What types of images work best for OCR?

Clear, high-resolution images of printed text give the best results. Scanned documents at 300 DPI, clean screenshots and well-lit photos of typed documents typically achieve 85-95% accuracy.

Does it work on handwriting?

Tesseract.js is trained on printed text. Neat block handwriting may work partially, but cursive handwriting and casual notes typically produce poor results.

Image to Text Converter Free — Extract Text from Image Online

FormFit Tools › Image to Text Converter Free

How to Extract Text from an Image

Click Extract Text Free above to open the tool
Upload your image — JPG, PNG or WEBP
Select the language (English, Hindi or both)
Click Extract Text and wait 5–20 seconds
Review the extracted text — you can edit it directly in the box
Click Copy Text or Download .txt

First run note: Tesseract.js downloads the OCR engine (~10MB) on first use. Subsequent uses within the same session are instant.

What Types of Images Work Best

Image Type	Expected Accuracy	Tips
Scanned document (300 DPI)	90–98%	Best results — high contrast, clear text
Screenshot of text	90–97%	Excellent — already digital, clean edges
Photo of printed document	75–90%	Use good lighting, avoid shadows
Photo of a book/magazine	70–85%	Flatten the page, avoid page curl
Handwritten (printed letters)	40–65%	Only works well with very neat printing
Cursive handwriting	10–30%	Not recommended

Common Use Cases

Scanned PDFs — extract text from scanned documents you can't copy from
Screenshots — grab text from images, error messages or web pages saved as images
Photos of notices — extract text from photos of printed notices, signs or boards
Bank statements — digitise scanned bank statements for record-keeping
Exam question papers — extract text from photos of question papers
Business cards — extract name, phone and email from a photo
Receipts and invoices — digitise paper receipts for expense tracking

Tips for Better OCR Accuracy

Use high resolution — scan at 300 DPI or higher for best results
Good lighting — ensure the entire text area is evenly lit, no shadows
Straight alignment — rotate the image so text is horizontal before uploading
High contrast — dark text on white background works best
Crop tightly — remove unnecessary background before uploading
Avoid blur — ensure the camera is steady and the image is sharp

Frequently Asked Questions

Is my image uploaded to a server?

No. Tesseract.js runs entirely inside your browser using WebAssembly. Your image is processed locally on your device. Nothing is sent to any server — making it safe to use with confidential documents, ID proofs and personal records.

Why does it take so long the first time?

The first run downloads the Tesseract.js OCR engine and language data (~10MB for English). This only happens once per browser session. After the initial load, processing is much faster.

What languages are supported?

The tool currently supports English and Hindi. Select your language from the dropdown before clicking Extract. For documents with both languages, use the English + Hindi combined mode.

Can I edit the extracted text?

Yes. The output text box is fully editable — you can correct any OCR errors directly before copying or downloading the text.

What does the confidence score mean?

The confidence score (0–100%) indicates how sure Tesseract.js is about the recognised text. Above 80% is good. Below 60% means you should review the output carefully for errors — usually caused by low image quality or unusual fonts.

Image to text freeOCR online freeExtract text from imagePhoto to text converterScan image to textOCR Hindi English

Related Tools

🗜️

Image Compressor

Reduce image file size

📐

Image Resizer

Resize to exact pixels

Validate & format JSON