Convert Bosnian speech to text with high accuracy, low latency, and enterprise-grade scalability. Deepgram delivers real-time and batch transcription through a developer-first speech-to-text API.
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Get real-time Bosnian speech-to-text in under 300 ms while maintaining high accuracy in noisy, accented, or overlapping conversations.

Speakers: Approximately 17 million (Bosnian, Croatian, and Serbian combined)
Regions: Bosnia and Herzegovina, Montenegro, Croatia, Serbia, North Macedonia, Kosovo
Dialects: Shtokavian (Ijekavian variant), Eastern Herzegovinian, Central Bosnian, Posavina
Writing system: Latin and Cyrillic alphabets (Latin in everyday use)
Language family: South Slavic (Indo-European)
Bosnian is widely used across the western Balkans in government, healthcare, legal services, and media. The language's official status across multiple countries and its complex phonological features—including palatal consonants, affricates, and consonant clusters—make it essential for call analytics, customer support AI, media captioning, court transcription, multilingual voice agents, and accessible content delivery across southeastern Europe.

Automatically detect and label who is speaking in multi-speaker Bosnian conversations.
Apply automatic capitalization, paragraphing, and clean transcript structure for Bosnian text.
Instantly find words or phrases inside long Bosnian recordings without reprocessing audio.
Segment streaming Bosnian audio into real-time sentence-level units for voice agents.
Add accurate punctuation and capitalization to Bosnian transcripts for easy reading.
Automatically remove sensitive data like credit cards, phone numbers, and PII from Bosnian transcripts.
Boost recognition of brand names, product terms, and domain-specific vocabulary in Bosnian audio to improve keyword recall and transcript accuracy.

Start with Bosnian speech-to-text, then expand to 45+ languages using the same API, models, and tooling.
Start transcribing Bosnian audio with Deepgram's speech to text API. It is fast, accurate, and built for real-time applications.