Image to Text Converter
Extract editable text from any image using our advanced Optical Character Recognition (OCR) technology. This powerful tool provides high accuracy for converting scanned documents, photographs, or screenshots into searchable and editable text for students, researchers, and professionals.
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Supports JPG, PNG, WebP, GIF, BMP, TIFF - Max 50MB per file
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Why Convert Image to Text?
Extract editable text from any image with advanced OCR technology
High Accuracy OCR
Advanced AI-powered OCR with 95%+ accuracy for clear text in images, documents, and screenshots.
Fast Processing
Extract text from images in seconds. Process multiple images at once with batch support.
Multi-Language OCR
Supports text recognition in multiple languages including English, Chinese, Japanese, and more.
How to Convert Image to Text
Upload Images
Drag and drop your images or click to browse. Supports JPG, PNG, WebP, and more.
Extract Text
Click the extract button and our OCR engine will recognize all text in your images.
Copy or Download
Copy the extracted text to clipboard or download as a text file.
How modern OCR works — and where it actually breaks
"Image to text" sounds simple. In practice, OCR (Optical Character Recognition) is one of the harder problems in computer vision because real-world images contain rotation, skew, glare, low contrast, foreign characters, multi-column layouts, tables, handwriting, mathematical formulas, and barcodes — often all in the same document. The accuracy you get depends almost entirely on what kind of image you feed in. Knowing the difference saves hours of cleanup.
The 3 OCR engines you'll see online
Most browser-based OCR tools route through one of three engines under the hood:
- Tesseract (open-source, originally HP, now maintained by Google) — the workhorse behind most free OCR tools, including the default option in many Linux distros and Adobe Acrobat's "Recognize Text" feature. Best for clean printed English at 300+ DPI; struggles with anything below 200 DPI, low contrast, or non-Latin scripts without language packs.
- Cloud Vision APIs (Google Cloud Vision, AWS Textract, Azure Computer Vision) — significantly more accurate on photographs of documents, receipts, signs, and handwriting. They handle 100+ languages out of the box and use document-aware models that preserve table structure and reading order.
- Document AI / Form Parsers (Google Document AI, AWS Textract Forms, Azure Document Intelligence) — purpose-built for structured documents like invoices, tax forms, ID cards, and contracts. They return key-value pairs and table cells, not just text. Overkill for casual screenshots, essential for accounting and ETL workflows.
FastlyConvert's image-to-text tool blends Tesseract for fast plain-language extraction with cloud-vision fallback for tricky inputs (low resolution, rotated, multi-column). The result is sent back as plain UTF-8 text, ready to paste into Word, Google Docs, Notion, or your code editor.
What kills accuracy (and how to fix it before uploading)
warning Low resolution (under 200 DPI)
A blurry phone photo of a printed page will produce garbled output. Aim for 300 DPI for body text, 400+ for small footnotes. If your phone camera is the only option, get the camera within 30cm of the page, fill the frame, and tap to focus before shooting.
warning Skew and rotation
Photos taken at an angle confuse line-detection. Most modern OCR engines auto-correct skew up to about 15°. Beyond that, accuracy drops fast. Fix in any image editor (or your phone's gallery crop tool) before uploading.
warning Glare and shadows
Reflective book pages, glossy magazine paper, and laminated cards routinely lose 20-40% of words to glare. Diffuse light (an overcast window, a desk lamp pointed at the ceiling) almost always beats direct sun or flash.
warning Decorative or script fonts
OCR is trained on standard typefaces. Old gothic blackletter, calligraphy, brush scripts, and stylized logos can drop accuracy below 50%. Restaurant menus printed in fancy fonts are notoriously hard. Plain-text recipes will work much better than the menu shot.
Languages and handwriting: realistic expectations
For printed text, modern OCR routinely hits 98-99% accuracy on English, French, Spanish, Portuguese, Italian, German, and Dutch. Chinese, Japanese, Korean, Arabic, Hebrew, Thai, and Vietnamese typically land at 92-97% with the right language pack — the long tail of mistakes tends to be in numbers, mixed scripts (Chinese names in an English document), and uncommon characters. For low-resource languages (Burmese, Khmer, Lao, many African scripts), accuracy varies widely; a plain-language test with a sample image is the only reliable check.
Handwriting is the hard mode. A neat, blocky printed-style hand on lined paper at high resolution can reach 85-90% accuracy with cloud-vision OCR. Cursive, doctor's notes, marginalia, and rushed shopping lists drop to 30-60%. Math formulas and chemistry notation need a specialized engine (Mathpix is the current best-in-class, but is paid).
When OCR is not the right tool
Two common cases where you should skip OCR: (1) You have a screen recording or PDF where text is already digital — copy-paste, "Save As Text", or our PDF to Word tool will be faster and more accurate. (2) The image you have is a screenshot of a chat or social media post — the original platform has the text; check your message archive, export feature, or browser inspect-element. OCR is for when the text genuinely lives only as pixels — printed pages, photographs of signs, scanned forms, whiteboards, blackboards, and old archives.
Frequently Asked Questions
How accurate is the OCR text extraction? expand_more
Our tool uses advanced AI-powered Optical Character Recognition (OCR) to achieve high accuracy, often over 95% for clear, high-resolution images with printed text. Accuracy can vary depending on the image quality, font style, and text complexity.
What languages are supported for text recognition? expand_more
Our OCR engine supports a wide range of languages, including English, Chinese (Simplified and Traditional), Japanese, Spanish, French, Portuguese, German, and more. For best results, ensure your image is clear and the text is horizontal.
Can this tool recognize handwritten text? expand_more
Yes, our OCR technology can recognize clear, legible handwriting. However, the accuracy for handwriting is generally lower than for printed text and depends heavily on the clarity and style of the writing. For best results, use images with high contrast and neatly written text.
What's the difference between OCR for images and PDFs? expand_more
This tool is optimized for image formats (JPG, PNG, etc.). While you can take a screenshot of a PDF and use it here, for native PDF documents (especially multi-page ones), it's better to use a dedicated PDF-to-Text or PDF-to-Word converter. Those tools can often extract text more efficiently from the PDF's internal structure.
What output formats are available for the extracted text? expand_more
After extracting the text, you can easily copy it to your clipboard with a single click. You can also download the text as a plain text (.txt) file for easy use in any editor or word processor. We keep the output simple and universally compatible.
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