Which Languages Does Voice to Text (voicetotext.org) Support?

Updated

Voice to Text (voicetotext.org) supports more than 30 languages, including English, Hindi, Spanish, French, Arabic, Chinese (Mandarin and Cantonese), Bengali, Tamil, and Urdu. The site also states that its speech recognition handles non-native speaker accents. That makes it usable for multilingual transcription, though the language list is the main thing to check before relying on it for a specific language pair.

How language support works on the site

The tool converts speech to text in real time using AI speech recognition, and the language setting determines which speech model is applied to your audio. According to the site, the same engine also accepts audio and video files for transcription, so language choice matters for uploaded recordings as well as live dictation.

The site claims 95% accuracy and real-time conversion without delay. Those figures are the site's own claims; actual results will vary with audio quality, accent, and background noise.

Full list of supported languages

The site lists the following languages:

Region / family Languages listed
European Afrikaans, Albanian, Basque, Bosnian, Bulgarian, Catalan, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, Galician, German, Greek, Hungarian, Icelandic, Italian, Latvian, Lithuanian, Macedonian, Norwegian Bokmål, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swedish, Ukrainian
South Asian Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Nepali, Punjabi, Sinhala, Tamil, Telugu, Urdu
East and Southeast Asian Burmese, Chinese (Mandarin, Cantonese), Filipino, Indonesian, Japanese, Javanese, Khmer, Korean, Lao, Malay, Mongolian, Sundanese, Thai, Vietnamese
Middle Eastern and Central Asian Arabic, Armenian, Azerbaijani, Georgian, Hebrew, Kazakh, Persian, Turkish, Uzbek
African Amharic, Kinyarwanda, Southern Sotho, Swahili, Swati, Tsonga, Tswana, Venda, Xhosa, Zulu

This covers the major languages the site highlights (English, Hindi, Spanish, French, Italian, Portuguese, Tamil, Urdu, Bengali, Gujarati, Kannada) plus the wider list above.

What this means for multilingual transcription

  • Single-language sessions: Pick the language of the speaker before dictating or uploading a file. The site presents language selection as a core feature, so match it to the dominant language in the audio.
  • Accented speech: The site explicitly supports non-native speaker accents, which helps if a speaker is using a second language. Expect accuracy to drop somewhat compared with native speech, especially with heavy accents or mixed-language audio.
  • Mixed-language audio: Nothing on the site indicates automatic language detection or switching mid-recording. For audio that switches between languages, transcribe in segments with the matching language selected for each part.
  • Output options: After transcription you can edit the text (bold, underline), add punctuation and smileys, export as txt, docx, and other formats, and convert text back to speech.

Practical checks before you commit

  1. Confirm your target language appears in the list above; if it does not, the tool is not a fit.
  2. Test with a short sample of your actual audio (same accent, same recording conditions) and compare the transcript against the source.
  3. For file-based work, verify the export format you need is available for your workflow.
  4. For multi-speaker or code-switching recordings, plan to split the audio by language before transcribing.

The site describes the tool as free, but the provided page information does not detail pricing terms, usage limits, or login requirements, so verify those on the site itself if they affect your decision.