Image to Text Converter

Extract Text From Image




Drag and drop your image here


What is Optical Character Recognition (OCR) ?

OCR stands for Optical Character Recognition. It is a technology that converts images into editable and searchable data. OCR software analyzes the shapes and patterns of text in an image or scanned document and converts it into machine-readable text. OCR systems can handle various fonts, languages, and document layouts. The main purpose of OCR is to recognize and extract text from the images, making it possible to edit, search, and analyze the content. It plays a crucial role in streamlining document management processes and making information more accessible and usable in the digital domain.

How to Extract text from the image ?

  1. Upload or drop a Image on above OCR Tool.
  2. After successful uploading of image, you will see preview of uploaded image.
  3. Now select Image text-language from the drop down box and click on Convert button.
  4. The OCR will extract text from your image and display on screen.
  5. You should review, and validate extracted text for accuracy.
  6. Now you can copy, download, share, print the extracted text using text editor.

Image extensions supported by Expert OCR ?

Expert OCR can extract text from following image formats:

  1. JPEG (or JPG) - Joint Photographic Experts Group (.jpg or .jpeg)
  2. PNG - Portable Network Graphics (.png)
  3. GIF - Graphics Interchange Format (.gif)
  4. TIFF - Tagged Image File (.tif or .tiff)
  5. JFIF -  JPEG File Interchange Format (.jfif)
  6. BMP - Bitmap Image File (.bmp)
  7. PNM - Portable Any Map (.pnm)
  8. WEBP - WebP (.webp)

To check the extension of any image file, right click on the image file and select properties and see "Type of File" you will see the file name with extension. If your image file is not supported in above OCR than you should convert the image file into supported extension and then convert into text.

What is Image To Text Converter ?

An image-to-text converter is a system that extracts text from images or scanned documents into machine-readable text. The process involves analyzing the shapes and patterns of characters in the image and converting them into a text format that can be edited, searched, or otherwise processed.

Why it's important to review and validate extracted text ?

While OCR technology has advanced significantly and can achieve high accuracy levels, it is challenging to guarantee 100% accuracy in all situations. The accuracy of OCR depends on various factors, including the quality of the input image, the clarity of the text, the font used, the language etc. Expert OCR recommends to review and validate the extracted text before use in real world, especially in critical applications where accuracy is crucial.

How to edit and format extracted text ?

After extracting the text from images you may need editing and formatting of too for creating well-crafted documents that effectively convey information and engage the audience. You can edit and format text using text editor button.

Can I make Images from text also ?

Yes, you can do the opposite function of OCR also in which you typed text and convert into image. You can generate images instantly from the text using expert text-to-image converter tool.

Languages supported by OCR ?

The Expert OCR supports all major languages of the world. That means if you have image of any supported languages, ocr will extract the text from that image for you.

Here are the list of OCR supported languages. (Languages are listed in alphabtic order.)

  1. Afrikaans
  2. Albanian
  3. Amharic
  4. Arabic
  5. Assamese
  6. Azerbaijani
  7. Azerbaijani - Cyrillic
  8. Belarusian
  9. Bengali
  10. Bosnian
  11. Bulgarian
  12. Burmese
  13. Catalan; Valencian
  14. Cebuano
  15. Central Khmer
  16. Czech
  17. Chinese - Simplified
  18. Chinese - Traditional
  19. Cherokee
  20. Croatian
  21. Danish
  22. Dzongkha
  23. Dutch; Flemish
  24. Greek, Modern (1453-)
  25. English
  26. English, Middle (1100-1500)
  27. Esperanto
  28. Estonian
  29. Basque
  30. Persian
  31. Finnish
  32. French
  33. French, Middle (ca. 1400-1600)
  34. Galician
  35. German
  36. German Fraktur
  37. Georgian
  38. Georgian - Old
  39. Greek, Ancient (-1453)
  40. Gujarati
  41. Haitian; Haitian Creole
  42. Hebrew
  43. Hindi
  44. Hungarian
  45. Icelandic
  46. Inuktitut
  47. Indonesian
  48. Irish
  49. Italian
  50. Italian - Old
  51. Javanese
  52. Japanese
  53. Kannada
  54. Kazakh
  55. Kirghiz; Kyrgyz
  56. Korean
  57. Kurdish
  58. Lao
  59. Latin
  60. Latvian
  61. Lithuanian
  62. Malayalam
  63. Marathi
  64. Macedonian
  65. Maltese
  66. Malay
  67. Nepali
  68. Norwegian
  69. Oriya
  70. Panjabi; Punjabi
  71. Polish
  72. Portuguese
  73. Pushto; Pashto
  74. Romanian; Moldavian; Moldovan
  75. Russian
  76. Sanskrit
  77. Sinhala; Sinhalese
  78. Slovak
  79. Slovenian
  80. Spanish; Castilian
  81. Spanish; Castilian - Old
  82. Serbian
  83. Serbian - Latin
  84. Swahili
  85. Swedish
  86. Syriac
  87. Tamil
  88. Telugu
  89. Tajik
  90. Tagalog
  91. Thai
  92. Tibetan
  93. Tigrinya
  94. Turkish
  95. Uighur; Uyghur
  96. Ukrainian
  97. Urdu
  98. Uzbek
  99. Uzbek - Cyrillic
  100. Vietnamese
  101. Welsh
  102. Yiddish