Image to Text (OCR) – Unlocking 125 Languages
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In the digital age, data exists everywhere — in books, documents, signs, invoices, receipts, and even handwritten notes. But much of this information is locked inside images, PDFs, or scanned documents, making it difficult to search, edit, or analyze. That’s where Image to Text technology, also known as Optical Character Recognition (OCR), comes in.
OCR is the bridge between the physical and digital worlds. It allows computers to “read” printed or handwritten text from an image and convert it into machine-readable data. Once text is extracted, it can be copied, edited, translated, indexed, or processed for countless applications.
Optical Character Recognition (OCR) is the process of detecting and extracting text from images, scanned documents, or other visual content. It allows computers to recognize characters, words, and sentences, converting them into editable and searchable text.
At its core, OCR software takes an image, identifies the characters (letters, numbers, punctuation), and translates them into digital text that can be manipulated just like any text you’d type into a word processor.
Our OCR software handles 125 languages across diverse scripts, including:
✅ Latin scripts: English, Spanish, French, German, Italian, Portuguese
✅ Asian scripts: Chinese (Simplified/Traditional), Japanese, Korean, Thai, Vietnamese
✅ Indic scripts: Hindi, Bengali, Tamil, Gujarati, Punjabi, Marathi
✅ Middle Eastern scripts: Arabic, Persian, Hebrew, Urdu
✅ Slavic languages: Russian, Polish, Czech, Serbian, Bulgarian
✅ African languages: Swahili, Amharic, Afrikaans
Below is a consolidated alphabetical list for quick reference:
Afrikaans, Albanian, Amharic, Ancient Greek, Arabic, Armenian, Assamese, Azerbaijani, Basque, Belarusian, Bengali (Bangla), Bosnian, Breton, Bulgarian, Canadian Aboriginal Alphabet (Canadian First Nations), Catalan, Cebuano (Bisaya), Cherokee, Chinese Simplified, Corsican, Croatian, Cyrillic (Cyrillic scripts), Czech, Danish, Devanagari, Divehi, Dutch (Nederlands), Dzongkha, Esperanto, Estonian, Ethiopic Alphabet (Ge'ez), Faroese, Filipino, Financial Language Pack (spreadsheets & numbers), Finnish, Fraktur (Generic Fraktur), Frankish, French, Galician, Georgian, German, Greek, Gujarati, Gurmukhi Alphabet, Haitian (Kreyòl ayisyen), Han Simplified Alphabet (Samhan), Hangul (Hangul alphabet), Hebrew, Hindi, Hungarian, Icelandic, Indonesian (Bahasa Indonesia), Inuktitut, Irish (Gaeilge), Italian, Japanese (including vertical variants), Javanese, Kannada, Kazakh, Khmer, Korean, Kyrgyz, Lao, Latin, Latin Alphabet, Latvian, Lithuanian, Luxembourgish, Macedonian, Malay (bahasa Melayu), Malayalam, Maltese, Maori (te reo Māori), Marathi, MICR (Magnetic Ink Character Recognition), Middle English (English 1100–1500 AD), Middle French (Moyen Français), Mongolian, Myanmar (Burmese), Nepali, Northern Kurdish (Kurmanji), Norwegian, Occitan, Oriya (Odia), Panjabi (Punjabi), Pashto, Persian (Farsi), Polish, Portuguese, Quechua (Runa Simi), Romanian, Russian, Sanskrit, Scottish Gaelic (Gàidhlig), Serbian, Sindhi, Sinhala, Slovak, Slovenian, Somali, Spanish, Sundanese, Swahili, Swedish, Syriac, Tagalog, Tajik, Tamil, Tatar, Telugu, Thaana Alphabet, Thai, Tibetan, Tigrinya, Tonga (faka Tonga), Turkish, Ukrainian, Urdu, Uyghur, Uzbek, Vietnamese, Welsh, Western Frisian, Yiddish, Yoruba
When choosing a language, you can select from different quality options — Fast, Standard, and Best — which offer a trade-off between processing speed and accuracy. You can also use second language at once for documents containing more than one language.
Our OCR tool supports 45 input image formats, including: bmp, cut, dcm, dds, emf, exr, fax, g3, gif, hdr, heic, heif, ico, iff, j2c, j2k, jfif, jng, jp2, jpe, jpeg, jpg, koa, mng, pbm, pcd, pcx, pfm, pgm, pict, png, ppm, psd, ras, raw, sgi, svg, tga, tiff, wbmp, webp, wmf, wsq, xbm, xpm
However, OCR is only as good as the quality of the images it processes. A blurred, skewed, noisy, or low-contrast image can drastically reduce recognition accuracy. That’s where image enhancement comes in. Before recognition, the image is cleaned up to make the text clearer. Techniques include:
➤ Noise Reduction: Removing punch holes, black borders
➤ Skew correction: Straightening tilted pages for aligned text.
➤ Binarization: Converting images to pure black and white for sharper character recognition.
The Recognition Mode allows you to control how text recognition is performed on scanned images or documents. Depending on your needs, you can apply OCR to the entire page or to a selected portion (area) of the image. This flexibility ensures greater accuracy, saves processing time, and helps you focus on the exact text you need to extract.
But OCR alone is only half the story. Once text has been extracted from images, the real challenge begins: editing, formatting, and refining that text. That’s where an integrated text editor comes into play. Our editor allows users:
✔️ Real-Time Editing – Immediate access to edit extracted text.
✔️ Formatting Options – Bold, italics, tables, bullet points, headings.
✔️ Export Flexibility – Save in formats like DOCX, PDF, HTML, or TXT, etc.
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