Hindi transcription

Transcribe Hindi audio with WhisperAI

WhisperAI transcribes Hindi (हिन्दी) audio for the around 350 million native speakers and another 250 million second-language speakers who use the language across the Hindi belt of northern India (Uttar Pradesh, Bihar, Madhya Pradesh, Rajasthan, Haryana, Delhi), and the global Indian diaspora. Built on OpenAI Whisper and tuned for the realities of Hindi speech, the service produces publication-grade transcripts in Devanagari (देवनागरी).

How Hindi speakers actually use WhisperAI

Bollywood and OTT captionsHindi film dialogue and reality-TV content transcribes for caption files (SRT) and translation feeders for Netflix, Prime Video and Hotstar global distribution.
Indian startup customer callsBangalore and Delhi-NCR SaaS and consumer-tech companies transcribe customer support and sales calls in Hinglish for QA and product feedback.
Hindi-language podcastsThe Hindi podcast scene is growing fast; show notes and search across episode archives benefit from accurate Devanagari transcripts.
Academic interviews on South AsiaResearchers working in Hindi or with Hindi-speaking subjects get transcripts in the original Devanagari rather than romanised approximations.

Code-switched Hinglish, schwa deletion and Devanagari output

Real-world spoken Hindi is rarely pure Hindi — it's Hinglish, with English nouns, verbs and entire phrases dropped into a Hindi grammatical frame. Naive ASR either transcribes it as broken English or as garbled Hindi. WhisperAI recognises both languages in the same utterance and produces Devanagari for Hindi portions, Latin script for English portions, with correct schwa-deletion patterns that make the Devanagari read naturally.

Standard Hindi (Khariboli), Bombay Hindi, Hyderabadi Hindi and other major regional varieties are all supported, with native Devanagari output.

Who actually needs Hindi transcription

Hindi demand is concentrated in Indian media and entertainment (Bollywood, OTT platforms), startup ecosystems in Bangalore and Delhi-NCR running customer calls in Hindi-English, and academic researchers working on South Asian topics.

Dialects and varieties handled

Standard Hindi (Khariboli)
Awadhi
Bhojpuri-influenced Hindi
Bombay Hindi
Hyderabadi Hindi

How to transcribe Hindi audio

Upload your Hindi recording

Drop in MP3, WAV, M4A, MP4 or similar — files up to 5GB. Long-form Hindi interviews, lectures and meetings work without splitting.

Whisper transcribes the audio

The model recognises Hindi speech across the dialects above and outputs Devanagari (देवनागरी). Code-switched English and other languages in the same recording are handled inline.

Edit, label and export

Open the transcript in the editor, fix any names or terms, label speakers, and export to PDF, DOCX, TXT or SRT. Optional AI summary surfaces the key points and decisions.

What Hindi transcripts include

Native Devanagari (देवनागरी)

Output in Devanagari (देवनागरी) with all diacritics, tone marks, special characters and script-specific conventions preserved — never transliteration.

Speaker labels

Diarisation that separates and labels speakers in Hindi interviews, panels and multi-party meetings.

Timestamps and SRT

Word-level timestamps and SRT subtitle export for Hindi video captioning, with proper line-breaking for the script.

Editor and exports

In-browser editor with PDF, DOCX, TXT and SRT exports. Edit the transcript without leaving the browser, then download the format your downstream workflow expects.

Transcription guides and best practices

View all transcription guides →

Transcribe in 100+ languages

WhisperAI supports Hindi alongside over 100 other languages with the same accuracy and editor experience.

Other widely-used pages: English, Spanish, French, German, Portuguese, Japanese, Korean, Chinese, Arabic, Russian, Italian, and 80+ more languages including Swedish, Norwegian, Danish, Finnish, Greek, Malay, Filipino and beyond.

See every supported language, with transcription, realtime and translation coverage.