Supported Languages and Accuracy of Zype's AI Transcription Service

Zype’s AI-powered transcription engine supports a broad range of global languages with varying levels of transcription accuracy. Below, you'll find a categorized breakdown of supported languages based on benchmark accuracy levels for clearly spoken, broadcast-quality content.  Audio quality recommendations are provided below.

Supported Languages by Estimated Accuracy

High Accuracy (90–98%)

English, Spanish, French, German, Italian, Portuguese, Dutch

Best performance in clean, clearly spoken audio

Moderate-High Accuracy (85–90%)

Russian, Polish, Turkish, Indonesian, Romanian, Ukrainian, Catalan, Hungarian, Slovak

Reliable performance with occasional minor errors

Moderate Accuracy (80–85%)

Hindi, Arabic, Korean, Czech, Serbian, Croatian, Bulgarian, Finnish, Norwegian, Swedish, Greek, Danish, Hebrew

Suitable for general transcription, may require light review

Moderate-Low Accuracy (75–80%)

Vietnamese, Urdu, Bengali, Thai, Malay, Lithuanian, Latvian, Estonian, Azerbaijani, Georgian, Slovenian, Filipino (Tagalog), Tamil, Telugu, Marathi, Kannada

Suitable for general transcription; may require moderate review.  Speaker clarity matters

Lower Accuracy (70–75%)

Armenian, Bashkir, Bosnian, Burmese, Faroese, Galician, Gujarati, Icelandic, Javanese, Kazakh, Khmer, Lao, Malayalam, Maltese, Mongolian, Nepali, Pashto, Persian (Farsi), Punjabi, Sinhala, Somali, Sundanese, Swahili, Tatar, Uzbek, Albanian, Azerbaijani, Amharic, Maori, Occitan, Sanskrit, Tajik, Turkmen, Welsh, Yiddish, Yoruba, Zulu, Luxembourgish, Assamese, Breton, Haitian Creole, Shona, Sindhi

Supported, but expect more transcription noise; best results require clean audio inputs

💡 Note: While the accuracy range offers general guidance, transcription results vary based on pronunciation, regional accents, background noise, and audio quality.

Estimated Accuracy by Language (with WER)

Word Error Rate (WER) is the industry-standard metric for transcription accuracy. Lower WER = better results. WER includes substitutions, deletions, and insertions relative to the total words spoken.

What Do the Accuracy Numbers Represent?

The transcription accuracy ranges listed (e.g., High Accuracy: 90–98%) are based on benchmark results from the foundational speech recognition model used by Zype’s AI transcription engine.

These accuracy bands serve as a general guideline to help set expectations by language. They are not strict Word Error Rate (WER) values but correspond closely to average observed performance during multilingual transcription evaluations.

🔍 For example:

• 90–98% accuracy corresponds to an average WER of ~2–5%

• 75–80% accuracy corresponds to WERs of ~20–25%
  These numbers are drawn directly from multilingual ASR evaluation results using the same model architecture that powers Zype's AI transcription.

Keep in mind that actual results may vary depending on your audio’s production quality, speaker clarity, and background noise.

Recommended Audio Specifications

Tips for Improving Accuracy

Zype’s AI transcription performs best on professionally produced or pre-edited video content. To ensure the highest transcription accuracy when uploading or importing videos into the Zype platform:

• Use high-quality source files — Transcriptions are more accurate when generated from videos with clear audio tracks and minimal compression artifacts.

• Avoid excessive background noise or music — Dialog that is isolated from sound effects, music beds, or ambient noise transcribes more accurately.

• Ensure speaker clarity — Content featuring clear, uninterrupted speech from one speaker at a time typically yields better results.

• Standardize language use — For non-English content, avoid frequent switching between languages unless required by the script. Consistent language use improves accuracy.

🔍 If your workflow includes MRSS or CMS imports, ensure media is encoded with high-bitrate audio and normalized volume levels for best transcription results.

To learn how to enable AI-powered subtitles, visit:
👉 How to Enable AI-Generated Subtitles