How to use OCR — Image to Text Converter
This OCR tool extracts editable, searchable text from images and scanned PDFs using optical character recognition. Upload a photo of a document, a screenshot, a receipt, or a scanned page and the engine returns the words inside it as plain text you can copy, edit, or paste anywhere. Unlike the in-browser quick scanner, this version runs a trained server-side OCR model (OCR.Space engine 2) for noticeably higher accuracy on real-world photos, multi-column layouts, and lower-contrast scans. Your file is read in the browser and sent securely for processing; the recognized text is returned to you and is not stored.
- Choose the language that best matches the text in your document.
- Drag an image or PDF onto the dropzone, or click Choose file to select one.
- Keep files under the 5 MB free-tier limit and PDFs at 3 pages or fewer.
- Wait a few seconds while the text is recognized on our server.
- Review the extracted text and use Copy to send it to your clipboard.
Your query is sent to OCR.Spaceto fetch results. We don't store it.
How to get the most accurate OCR results
OCR accuracy is driven almost entirely by input quality. Scans at around 300 DPI, photographed straight-on with even lighting, and saved as a sharp PNG or high-quality JPG give the engine the cleanest letterforms to work with. Avoid shadows, glare, motion blur, and heavy JPEG compression, which smear character edges. Plain printed text in a standard typeface is recognized far more reliably than handwriting, decorative fonts, or text laid over a busy background. Cropping tightly to the text and increasing contrast before uploading both measurably improve results.
| Factor | Best for accuracy | Hurts accuracy |
|---|---|---|
| Resolution | ~300 DPI or higher | Tiny or upscaled low-res images |
| Lighting | Even, shadow-free | Glare, shadows, low light |
| Alignment | Straight, deskewed | Skewed or rotated pages |
| Typeface | Standard printed fonts | Handwriting, script, stylized fonts |
| Background | Plain, high contrast | Text over photos or patterns |
Client-side scanner vs server-side OCR
ToolsHub offers two ways to get text from an image. The in-browser Image-to-Text tool runs entirely on your device, which is instant and fully private but uses a lighter model that struggles with photos and complex layouts. This OCR tool sends your image to a server-side engine that is trained on far more data, so it reads noisy phone photos, multi-column pages, and faint scans much more accurately. The trade-off is that the file leaves your browser for processing, so choose the in-browser tool when privacy is paramount and this one when accuracy matters most.
Glossary
- OCR
- Optical Character Recognition — converting images of text into machine-readable, editable characters.
- DPI
- Dots per inch — the scan resolution; ~300 DPI is the sweet spot for reliable OCR.
- Searchable PDF
- A PDF with an invisible text layer over the scanned image so its contents can be selected and searched.
- Confidence score
- A per-word estimate of how certain the OCR engine is that it read a character correctly.
- Deskew
- Rotating a scanned page so its text lines are horizontal, which improves recognition accuracy.
Related reading
Frequently Asked Questions
Why use OCR — Image to Text Converter?
- Turn photos, screenshots, and scanned PDFs into editable, copyable text
- Higher accuracy than quick client-side OCR thanks to a trained server engine
- Recognize text in eight languages including English, German, French, and Spanish
- OCR.Space free tier supports up to 3 PDF pages per request, with clear limits in-tool
- Skip retyping — extract phone numbers, codes, and paragraphs in seconds
Common use cases
- Copy text out of a screenshot when the original document is unavailable
- Digitize a printed letter or contract page from a phone photo
- Pull line items and totals from a scanned receipt or invoice
- Extract a serial number or Wi-Fi password from a photo of a label
- Make an image-only scanned PDF searchable by recovering its text
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