Turn Telugu audio
dans English you can trust.

A different approach to Telugu translation.

La traduction du télougou est le processus de conversion du télougou parlé ou écrit dans une autre langue, le plus souvent l'anglais, tout en préservant ce que le locuteur a réellement voulu dire : les faits, le ton et l'intention derrière les mots. Le télougou est parlé par plus de 80 millions de personnes, principalement dans l'Andhra Pradesh et au Telangana, et est la troisième langue la plus parlée en Inde et parmi les quatorze plus parlées au monde. Les équipes travaillant avec l'audio et la vidéo en télougou, les dialogues de films et de télévision, les appels de clients, les entretiens de recherche, les déclarations juridiques, ont eu besoin d'un moyen rapide et précis de rendre ce contenu utilisable par les personnes qui ne parlent pas le télougou.

Why Telugu translation stalls in-house

For most teams, Telugu translation happens by hand or by hire. A bilingual staff member listens to a call or interview, plays it back twice to catch a name or a number, and writes a summary that only they can fully vouch for. When that person is out, the queue backs up. Text-only machine translation tools strip out everything that was never typed: the hesitation in a caller’s voice, the emphasis on a promise, the difference between a firm “no” and an uncertain one.

Reading the language, not just swapping words

Speak AI treats Telugu recordings the way a fluent, careful colleague would, at machine speed. Each file is transcribed in Telugu first, then translated into English, or any of 100+ supported languages, while the recording itself is analyzed for tone, energy, and emotion: whether a caller sounds confident or frustrated, whether a witness pauses before answering. Names, dates, and other details are extracted into structured fields alongside the translation, so your systems can use the output directly.

Then the questions start. Ask across your entire Telugu library with AI chat, the same way teams once queried English-only transcripts, now running natively over Telugu source audio with ChatGPT, Claude, and Gemini built in.

What teams ask their Telugu recordings

• “What did this caller say, translated into English, word for word?”
• “Which Telugu interviews this month mention pricing, and what exactly did people say?”
• “Summarize the main themes across every Telugu focus group this quarter.”
• “Which Telugu recordings still need a human review before we publish subtitles?”
• “Show me every Telugu call where the customer sounded frustrated.”

From raw Telugu audio to an English record you can act on

The result is a Telugu library that answers back. Translated transcripts sit next to the original Telugu text, searchable side by side. Trends across hundreds of Telugu recordings become a report instead of a guess, and des tableaux de bord que vous pouvez personnaliser et mettre en marque blanche track sentiment, themes, and volume over time, so this quarter’s Telugu calls are measured against last quarter’s. The same workflow holds up at real scale: one legal intelligence firm ran it across 5,100+ hours of recorded calls and saved $700K, sans augmenter les effectifs.

And because Telugu recordings rarely live alone, the same engine translates and scores calls, meetings, and interviews on the same criteria, connecting Telugu translation to the MCP server so any AI assistant in your stack can query the translated record directly.