Bengali Speech to Text
Convert Bengali (বাংলা) audio to text with AI. Fast, accurate, open models.
Best Models for Bengali
| Model | Provider | WER | Speed | |
|---|---|---|---|---|
| STT.ai Enhanced Best | OpenAI (hosted by STT.ai) | 4.2% | Paid tier | |
| Whisper Large V3 | OpenAI | 4.2% | Paid tier | |
| Whisper Turbo | OpenAI | 5.1% | Try it |
About Bengali Transcription
Bengali is the seventh most spoken language in the world. STT.ai provides accurate Bengali transcription with proper Bengali script output.
STT.ai provides state-of-the-art Bengali speech recognition powered by multiple AI models. Whether you need to transcribe interviews, lectures, podcasts, or meetings in Bengali, our platform automatically detects the language and selects the optimal model for the best accuracy.
How Accurate is Bengali Transcription?
Accuracy for Bengali transcription depends on audio quality, speaker clarity, background noise, and the model you choose. On clean audio with a single speaker, our best models achieve a Word Error Rate (WER) under 6% for Bengali -- approaching human-level accuracy.
For the best results with Bengali audio, we recommend:
- Clear audio -- minimize background noise and use a good microphone
- Single speaker segments -- enable speaker diarization for multi-speaker recordings
- Choose the right model -- Whisper Large V3 is the most accurate and has the broadest language coverage; Whisper Turbo trades a little accuracy for speed
- Specify the language -- while auto-detect works well, manually selecting Bengali can improve accuracy slightly
Export Formats for Bengali Transcripts
After transcribing your Bengali audio, download the result in any of these formats:
TXT
Plain text transcript
SRT
Subtitles with timestamps
VTT
Web video captions
DOCX
Word document
JSON
Structured data with timestamps
PDF
Print-ready document
Frequently Asked Questions
Upload an audio or video file containing Bengali (বাংলা) to STT.ai or paste a URL. Select a model that supports Bengali — for best results pick the one with the lowest WER on the table above — and click Transcribe.
Yes. STT.ai gives every visitor 600 free minutes to start, which includes Bengali (272 million speakers worldwide). No signup required for your first file. Paid plans starting at $5/month unlock longer files and private transcripts.
Bengali accuracy on clean audio reaches 88-93% with our best models. Indic-script output preserves matras and conjunct consonants; transliteration to Latin is also available as a post-processing option.
The table above ranks the models by WER (lower is better). For Bengali, Whisper Large V3 has the broadest coverage and the best accuracy; Whisper Turbo trades a little accuracy for speed. STT.ai Enhanced is Whisper Large V3 on our GPU, included with paid plans.
Yes. Bengali (বাংলা) output preserves matras, anusvara, and conjunct consonant clusters. Romanized transliteration is available as a post-processing option for downstream use.
Yes. Speaker diarization is language-agnostic and works on Bengali the same way it does on English. Each speaker is labeled (Speaker 1, Speaker 2, ...) and you can rename them in the editor after transcription.
Most Bengali files are transcribed in under 5 minutes. A 1-hour Bengali audio file typically takes 2-3 minutes with our fastest models, and slightly longer with the highest-accuracy models.
Bengali files in MP3, WAV, M4A, FLAC, OGG, MP4, MKV, MOV, WebM, AVI, and 10+ other formats all work. Output to TXT, SRT, VTT, DOCX, JSON, and PDF — all with Bengali text intact.
Yes. Bengali audio files are processed and deleted by default. Pro plans add client-side encryption — even if our database is breached, your transcripts are unreadable without your key. Bengali data is never used for model training without explicit opt-in.
Yes. Export the transcript as SRT or VTT — both work with YouTube, Vimeo, TikTok, and all major video platforms. Burn-subtitles tool overlays them onto video as hardsubs.
Yes. After transcribing Bengali, the subtitle-translator tool can translate the SRT/VTT to any of 100+ target languages. Useful if your Bengali content needs subtitles for a wider audience.
Yes. The REST API supports Bengali via the language parameter (auto-detect is also available). Python and Node.js SDKs let you batch-transcribe Bengali audio with full timestamps and speaker labels.
For Bengali, the biggest accuracy variables are background noise, overlapping speakers, and accent strength. Use a good microphone, separate speakers when possible, and pick a model trained on the relevant dialect.