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Handwriting Recognition

Learn how to use handwriting recognition to quickly transform handwriting into digital text.

Written by James Huang

Updated at May 22nd, 2025

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Table of Contents

Handwriting recognition in notes Create a real-time recognition note View recognition results Export recognition results Important notes on how handwriting recognition works Handwriting recognition in Word How to use handwriting recognition in Word? Languages supported for handwriting recognition

Supernote's handwriting recognition feature is an efficiency and productivity booster. It lets you focus on writing your thoughts without the need to worry about retyping them for reviewing or sharing later.

Handwriting recognition in notes

With the release of Chauvet 2.7.21, we've added the ability to convert handwriting to text in notes.

To effectively use the handwriting recognition feature in notes, follow the steps below:

Create a real-time recognition note

  • Tap New Note in the sidebar menu.
  • Select Real-Time Recognition as the type of the new note you are creating.
  • If needed, switch to a different handwriting recognition language by tapping the underlined language.(It cannot be changed after the real-time recognition note is created.)
  • Write words and the system will recognize them in the background concurrently. 

View recognition results

  • Tap to view the Recognition Results. 
  • If you are not satisfied with the recognition accuracy, tap the Re-recognize button.
  • Tap the Queue icon to check the recognition progress when you've written multiple pages of notes.

Export recognition results

  • Tap on the Recognition Results page.
  • Select the export format: TXT or DOCX. 

Note: In standard notes, you can also tap the Export icon on the toolbar and select TXT or DOCX to have them recognized and exported. 


Important notes on how handwriting recognition works

  • The button on the toolbar: This button is intended solely for switching to handwriting recognition result view mode. It's not meant to trigger handwriting recognition. Once you tap this button, you can expect to see one of these three results: 
    • You will see the recognized typed text if the handwriting recognition is completed.
    • You will see the recognition status shown as “Recognizing” if the handwriting recognition is still in progress.
    • You will be prompted to try handwriting more if you handwrote nothing or too few content.
  •    Queue: Tapping the Queue button will allow you to see the status of the recognition in the current note file. It will be helpful when you've handwritten multiple pages of notes and want to check how things are.
  •    Background recognition: The current note file must remain open for the background recognition to be triggered. Background recognition will start 30 seconds after the last touch or writing action. Any writing or other actions during background processing will pause the recognition.
  •   Handwriting search: Only handwriting that has been recognized and converted correctly to digitized text can be searched.
  • The Re-recognized button: it will come handy when you are not completely satisfied with the recognition result of the current note page you are on. Tapping it will re-recognize the handwritten notes on this page. 

Handwriting recognition in Word

The handwriting recognition feature was initially only available in Word documents. It's easy to use with good recognition accuracy and speed. For users who believe the pen is mightier than the keyboard, it comes really handy and delivers a solid writing experience. 

How to use handwriting recognition in Word? 

  • Tap Files in the sidebar menu.
  • Open a folder you want to store the Word document in.
  • Tap the New Word icon.
  • Select the handwriting mode and start writing words.
  • Tap the handwriting recognition icon to have the words converted to typed text.

Languages supported for handwriting recognition

English Name Native Name Language Abbreviation
Afrikaans Afrikaans af_ZA
Albanian Shqip sq_AL
Armenian Հայերէն hy_AM
Azeri Azərbaycan dili az_AZ
Basque Euskara eu_ES
Belarusian беларуская be_BY
Bosnian Bosanski bs_BA
Bulgarian български bg_BG
Catalan Català ca_ES
Cebuano (Philippines) Binisaya ceb_PH
Chinese (Hong Kong) 繁体中文(香港) zh_HK
Chinese (Simplified) 简体中文 zh_CN
Chinese (Taiwan) 繁体中文(台湾) zh_TW
Croatian Hrvatski hr_HR
Czech Čeština cs_CZ
Danish Dansk da_DK
Dutch (Belgium) Nederlands(België) nl_BE
Dutch (Netherlands) Nederlands(Nederland) nl_NL
English (Canada) English (Canada) en_CA
English (Philippines) English (Philippines) en_PH
English (South Africa) English (South Africa) en_ZA
English (United Kingdom) English (United Kingdom) en_GB
English (United States) English (United States) en_US
Estonian Eesti et_EE
Filipino (Philippines) Filipino (Pilipinas) fil_PH
Finnish Suomi fi_FI
French (Canada) Français (Canada) fr_CA
French (France) Français (France) fr_FR
Galician Galego gl_ES
Georgian ქართული ka_GE
German (Austria) Deutsch (Österreich) de_AT
German (Germany) Deutsch (Deutschland) de_DE
Greek Ελληνικά el_GR
Hungarian Magyar hu_HU
Icelandic íslenska is_IS
Indonesian Bahasa Indonesia id_ID
Irish Gaeilge ga_IE
Italian Italiano it_IT
Japanese 日本語 ja_JP
Kazakh қазақ тілі kk_KZ
Korean 한국어 ko_KR
Latvian Latviešu lv_LV
Lithuanian Lietuvių lt_LT
Macedonian Mакедонски mk_MK
Malagasy (Madagascar) Malagasy (Madagasikara) mg_MG
Malay Bahasa Melayu ms_MY
Mongolian Mонгол mn_MN
Norwegian Norsk no_NO
Polish Polski pl_PL
Portuguese (Brazil) Português (Brasil) pt_BR
Portuguese (Portugal) Português (Portugal) pt_PT
Romanian Română ro_RO
Russian Русский ru_RU
Serbian (Cyrillic) Cрпски (ћирилица) sr_Cyrl_RS
Serbian (Latin) Cрпски (латиница) sr_Latn_RS
Slovak Slovenčina sk_SK
Slovenian Slovenščina sl_SI
Spanish (Colombia) Español (Colombia) es_CO
Spanish (Mexico) Español (México) es_MX
Spanish (Spain) Español (España) es_ES
Swahili (Tanzania) Kiswahili (Tanzania) sw_TZ
Swedish Svenska sv_SE
Tatar Tatarça tt_RU
Turkish Türkçe tr_TR
Ukrainian Українська uk_UA
Vietnamese Tiếng Việt vi_VN
inputting penmanship decoding recognition script handwriting recognition typed text handwriting conversion supernote a6 x2 nomad supernote a5 x supernote a6 x

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