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  • What is Optical Character Recognition?

    Optical Character Recognition (OCR) is a technology that lets you convert scans of documents, image-only PDF files, and digital photographs to editable document formats. More on OCR.
  • What types of files can I recognize?

    FineReader Online lets you recognize text on images in any of the following formats:
    • *.jpg (*.jpeg)
    • *.tif (*.tiff)
    • *.bmp
    • *.png
    • *.pdf (except for password-protected PDF documents)
  • In what formats can I save recognized documents?

    You can save recognized documents in any of the following formats:
    • Microsoft Word 97-2003 (*.doc)
    • Microsoft Word 2007-2010 (*.docx)
    • Microsoft Excel 97-2003 (*.xls)
    • Microsoft Excel 2007-2010 (*.xlsx)
    • OpenOffice.org (*.odt)
    • TXT (*.txt)
    • RTF (*.rtf)
    • PDF (*.pdf)
    • PDF/A (*.pdf)
  • What recognition languages does FineReader Online support?

    FineReader Online can recognize documents in 193 languages, including widely-used European languages, Korean, and Japanese. You can also process documents written in up to three different languages.

    Supported languages:
    • Abkhaz
    • Adyghe
    • Afrikaans
    • Agul
    • Albanian
    • Altaic
    • Arabic (Saudi Arabia)
    • Armenian (Eastern)
    • Armenian (Grabar)
    • Armenian (Western)
    • Avar
    • Aymara
    • Azeri (Cyrillic)
    • Azeri (Latin)
    • Bashkir
    • Basque
    • Belarusian
    • Bemba
    • Blackfoot
    • Breton
    • Bugotu
    • Bulgarian
    • Buryat
    • Catalan
    • Cebuano
    • Chamorro
    • Chechen
    • Chinese Simplified
    • Chinese Traditional
    • Chukchee
    • Chuvash
    • Corsican
    • Crimean Tatar
    • Croatian
    • Crow
    • Czech
    • Dakota
    • Danish
    • Dargwa
    • Dungan
    • Dutch (Belgium)
    • Dutch (Standard)
    • English
    • Eskimo (Cyrillic)
    • Eskimo (Latin)
    • Estonian
    • Even
    • Evenki
    • Faroese
    • Fijian
    • Finnish
    • French
    • Frisian
    • Friulian
    • Gagauz
    • Galician
    • Ganda
    • German
    • German (Luxembourg)
    • German (New Spelling)
    • Greek
    • Guarani
    • Hani
    • Hausa
    • Hawaiian
    • Hebrew
    • Hungarian
    • Icelandic
    • Indonesian
    • Ingush
    • Irish
    • Italian
    • Japanese
    • Jingpo
    • Kabardian
    • Kalmyk
    • Karachay-Balkar
    • Karakalpak
    • Kashubian
    • Kawa
    • Kazakh
    • Khakass
    • Khanty
    • Kikuyu
    • Kirghiz
    • Kongo
    • Korean
    • Korean (Hangul)
    • Koryak
    • Kpelle
    • Kumyk
    • Kurdish
    • Lak
    • Latin
    • Latvian
    • Lezgi
    • Lithuanian
    • Luba
    • Macedonian
    • Malagasy
    • Malay
    • Malinke
    • Maltese
    • Mansi
    • Maori
    • Mari
    • Maya
    • Miao
    • Minangkabau
    • Mohawk
    • Moldavian
    • Mongol
    • Mordvin
    • Nahuatl
    • Nenets
    • Nivkh
    • Nogay
    • Norwegian (Bokmal)
    • Norwegian (Nynorsk)
    • Nyanja
    • Occitan
    • Ojibway
    • Ossetian
    • Papiamento
    • Polish
    • Portuguese (Brazilian)
    • Portuguese (Standard)
    • Quechua
    • Rhaeto-Romanic
    • Romanian
    • Romany
    • Rundi
    • Russian
    • Russian (Old Spelling)
    • Russian with accents
    • Rwanda
    • Sami (Lappish)
    • Samoan
    • Scottish Gaelic
    • Selkup
    • Serbian (Cyrillic)
    • Serbian (Latin)
    • Shona
    • Slovak
    • Slovenian
    • Somali
    • Sorbian
    • Sotho
    • Spanish
    • Sunda
    • Swahili
    • Swazi
    • Swedish
    • Tabasaran
    • Tagalog
    • Tahitian
    • Tajik
    • Tatar
    • Thai
    • Tok Pisin
    • Tongan
    • Tswana
    • Tun
    • Turkish
    • Turkmen (Cyrillic)
    • Turkmen (Latin)
    • Tuvinian
    • Udmurt
    • Uighur (Cyrillic)
    • Uighur (Latin)
    • Ukrainian
    • Uzbek (Cyrillic)
    • Uzbek (Latin)
    • Vietnamese
    • Welsh
    • Wolof
    • Xhosa
    • Yakut
    • Yiddish
    • Zapotec
    • Zulu

    Artificial Languages:
    • Esperanto
    • Ido
    • Interlingua
    • Occidental

    Formal Languages:
    • Basic
    • C/C++
    • COBOL
    • Digits
    • Fortran
    • Java
    • Pascal
    • Simple chemical formulas

    Fraktur fonts:
    • German (Fraktur font)
    • Latvian (Fraktur font)
  • How do I recognize documents in FineReader Online?

    You can recognize a file in three easy steps:
    1. Upload a file
    2. Select an output format (for example, DOCX or XLSX) and the document’s language
    3. Download the recognized document or send it to Box, Dropbox, Evernote, Google Drive or Microsoft OneDrive
  • How can I download my document after it has been recognized?

    After a document has been recognized and saved, we will send you an e-mail message with a download link. Please note that you must enable e-mail notifications in your profile in order to receive download links by e-mail. Alternatively, you can download your document directly from the FineReader Online website or send it to a file storage service from the Documents section of the FineReader Online website.
  • Can I edit recognized documents in FineReader Online?

    No. To edit a recognized document, download it and open it in an application that supports the document’s format. If you want to recognize and edit documents in the same application, try ABBYY FineReader.
  • Can I use FineReader Online to recognize text on photos?

    Yes. FineReader Online can recognize text on photos, and it can even fix some common defects, such as skewed text lines resulting from bent pages, blurred edges, and noise. However, low-quality images may still cause recognition errors.
    If you want to get better results, we recommend trying ABBYY FineReader, which includes a wide range of tools for preprocessing digital photographs and improving their quality.
  • Can I choose which areas of the image will be recognized?

    FineReader Online detects areas with recognizable text automatically.
  • Can FineReader Online recognize handwritten text?

    FineReader online is only intended for recognizing printed text.
  • Does the quality of the image affect recognition accuracy?

    Yes. For example, low contrast or significant amounts of noise tend to impair recognition quality. Images that are skewed (e.g. scanned when their edges were not properly aligned with the edges of the scanner’s glass) or have large amounts of noise are harder to recognize.
  • I recognized an image in FineReader Online, and the resulting document has too many errors. Is there anything I can do to reduce the number of errors in the document?

    There are several simple ways to improve recognition accuracy:
    • Make sure you selected the right recognition language.
    • Make sure the source image doesn’t contain any handwritten text.
    • When recognizing a scanned document, make sure that the resolution of the scan is at least 300 dpi.
    • If you are recognizing a photograph, you can try taking a better quality photograph.
  • Can I recognize old documents? What about documents that contain fonts in Fraktur style?

    FineReader Online is capable of recognizing German and Latvian text printed between 1600 and 1937 in Fraktur fonts.
  • How do I recognize a document that contains Fraktur fonts?

    To recognize documents that contain Fraktur fonts, open your profile’s settings and select the "Some of my documents are printed in Fraktur" option. Then, in the Recognition section, click the "Enable Fraktur OCR" link to the right of the list of languages. You can now proceed to recognize the document in the same way you recognize documents that only contain regular fonts (Arial, Times New Roman, etc.).
  • What is a Fraktur font?

    Fraktur is a group of blackletter typefaces designed in the 16th century. Fraktur characters have sharp, angular lines with a lot of decorative elements that imitate calligraphic strokes and curves. Fraktur fonts were in common use until the late 19th century. FineReader Online can recognize Fraktur texts in German and Latvian. For large projects, we recommend using professional ABBYY products designed to digitize large volumes of old documents. For details, please refer to https://www.frakturschrift.de/en:products.
  • Do you have any advice on how to get good-quality scans that are suitable for optical recognition?

    Here are a few basic scanning tips:
    • Scan in 300 dpi if the document only contains text in 10pt or larger font size.
    • Scan in 400-600 dpi if the document contains text in 9pt or smaller font size.
    • Try aligning the edges of the document with the edges of the scanner’s glass as closely as possible. Skewed document images reduce recognition accuracy.

    Adjusting scanning brightness can also yield better results:
    • If characters on your document are too dark or appear to be joined up, increase the brightness.
    • If characters on your document are too thin, too light or appear to be broken up, decrease the brightness.