Multilingual
January 2025
Multilingual Speech-to-Text: 99 Languages with Whisper Web
Break language barriers with Whisper Web's comprehensive multilingual support. Transcribe content in 99+ languages with automatic detection and reliable accent handling.
Global Language Coverage
99+
Languages Supported
High
Average Accuracy
Auto
Language Detection
7B+
Speakers Worldwide
Supported Languages by Category
🇪🇺 European Languages
English
Native & accented variants
Spanish
Spain & Latin America
French
France & Canadian
German
Germany, Austria, Swiss
Italian
Standard & regional dialects
Portuguese
Brazil & European
Also includes: Dutch, Swedish, Norwegian, Danish, Finnish, Polish, Czech, Hungarian, Romanian, Greek, and 25+ more
🌏 Asian Languages
中文 (Chinese)
Mandarin & Cantonese
日本語 (Japanese)
Standard & Kansai dialects
한국어 (Korean)
Seoul standard & regional
हिन्दी (Hindi)
Standard & regional variants
العربية (Arabic)
Modern Standard & dialects
ไทย (Thai)
Central & regional dialects
Also includes: Vietnamese, Indonesian, Malay, Tagalog, Bengali, Tamil, Telugu, Urdu, Persian, Turkish, and 30+ more
🌍 Other Language Families
🌍 African Languages
- Swahili
- Amharic
- Yoruba
- Zulu
- Afrikaans
🗣️ Slavic Languages
- Russian
- Ukrainian
- Bulgarian
- Croatian
- Serbian
🌎 Indigenous & Regional
- Welsh
- Irish
- Basque
- Maori
- Hawaiian
🧠 Intelligent Auto-Detection
How It Works
- 1. Analyzes audio patterns in the first few seconds
- 2. Compares against 99+ language models
- 3. Selects best-matching language automatically
- 4. Adapts to language changes within audio
Best Use Cases
- • International business meetings
- • Multilingual conference calls
- • Foreign language learning content
- • Travel recordings and interviews
- • Academic research transcription
- • Customer service recordings
💡 Tips for Better Multilingual Results
🎯 Optimize for Accuracy
- Specify language manually when you know it for 5-10% better accuracy
- Use larger models for languages with complex grammar or tonal systems
- Speak clearly - accents are handled well, but mumbling isn't
- Minimize background noise as it affects all languages equally
🌐 Handle Mixed Languages
- Primary language detection: Auto-detect works best when one language dominates
- Code-switching: Whisper handles natural language mixing (e.g., English-Spanish)
- Technical terms: International terms are often recognized correctly
- Name pronunciation: Proper nouns adapt to local pronunciation
🔧 Troubleshooting Tips
- Wrong language detected? Manually select the correct language
- Poor accuracy? Check if speaker has heavy accent or dialect variation
- Missing text? Some languages need the Large model for complex sentences
- Mixed results? Try processing monolingual segments separately
🎬 Real-World Use Cases
👔 Business Applications
- International team meetings and calls
- Customer support call transcription
- Market research interviews globally
- Conference and seminar recordings
- Training material localization
🎓 Educational Use
- Foreign language learning transcription
- International student interviews
- Multilingual academic research
- Study abroad program documentation
- Language exchange recordings
🎥 Media & Content
- International podcast transcription
- Documentary and interview subtitles
- YouTube video captions (multilingual)
- Social media content localization
- News and journalism transcription
🌍 Personal & Travel
- Travel diary and experience recordings
- Family history in native languages
- International friend conversations
- Language practice session notes
- Cultural interview documentation
Start Your Multilingual Transcription
Experience the power of 99+ language support with Whisper Web. Upload your audio in any supported language and watch as our AI accurately transcribes with automatic language detection.