Turn Marathi audio
dans text and translations.

A different approach to Marathi transcription.

Le marathi est parlé par plus de 83 millions de personnes comme langue maternelle, principalement dans le Maharashtra et Goa, et il partage le script Devanagari et une veine profonde de vocabulaire avec le sanskrit, la langue classique qui sous-tend une grande partie de sa tradition religieuse et littéraire. Cet chevauchement est exactement là où les outils de transcription génériques s'effondrent. Une conférence, pravachan ou entrevue de recherche glissera entre le marathi conversationnel et un shloka sanscrit en milieu de phrase, plongera dans un discours d'influence varhadi ou konkani, et un outil entraîné sur une seule langue traite le changement comme du bruit : des mots mutilés, des lignes perdues, ou une transcription qui se lit d'une manière confidemment incorrecte.

Reading the language, not just the words

Speak AI reads the whole recording, not just the transcript. Each file is transcribed in your language, with 100+ supported, so Marathi and the Sanskrit terms inside it are captured together instead of flattened into English. Alongside the words, the recording itself is analyzed: the tone and pacing of the speaker, the emphasis on a particular shloka or phrase, and any on-screen text or slides captured through screen recording. Ask across your entire Marathi library with AI chat, using ChatGPT, Claude, and Gemini built directly into the workspace.

What teams ask their Marathi transcripts

• “Which Sanskrit terms and shlokas came up most often this month, and how were they translated?”
• “Show every recording where a speaker switched from Marathi into Sanskrit mid-sentence.”
• “Summarize this lecture in Marathi, then again in English.”
• “Which interviews mention Varhadi or Konkani-influenced Marathi, and what did participants actually say?”

From scattered files to a searchable archive

The result is a Marathi archive that behaves like a research database instead of a folder of MP3s. Sanskrit terms and shlokas are flagged instead of buried, translations sit next to the original line, and des tableaux de bord que vous pouvez personnaliser et mettre en marque blanche track how often specific terms, dialects, or topics come up across your library over time, this quarter measured against last. One education program built a similar multilingual pipeline around embedded recorders and automatic transcription and recovered 120 hours and $4,000+ in labor, without adding staff. And because Marathi recordings rarely live alone, the same engine connects to évaluation des appels et coaching for any other language your team works in, plus a full Serveur MCP so Claude, ChatGPT, and Cursor can query your Marathi transcripts directly.