Turn Telugu audio
in testo di cui puoi fidarti.

A different approach to Telugu transcription.

Telugu is spoken by more than 80 million people, primarily across Andhra Pradesh and Telangana, with communities in the United States, United Arab Emirates, Bahrain, and Malaysia. It is a Dravidian language, in the same family as Tamil, Kannada, and Malayalam, and grammatically distinct from Indo-Aryan languages like Hindi despite centuries of shared vocabulary. It carries its own script, its own regional variation across Coastal Andhra, Telangana, and Rayalaseema, and frequent code-switching with English and Hindi in business and media settings. Turning Telugu speech into usable text has always meant either a bilingual transcriber working by hand, or software that gets the words roughly right and drops everything else.

Where Telugu transcription usually breaks down

Most transcription tools are tuned for a handful of high-resource languages, and Telugu rarely gets the same attention. Regional terms and names get misheard, mid-sentence switches into English or Hindi get flattened into nonsense, and tone, hesitation, or emphasis in the recording never make it into the transcript at all. Teams end up correcting entire passages by hand, which erases most of the time an automated tool was supposed to save.

Leggere la registrazione, non solo le parole

Speak AI transcribes Telugu audio and video with speaker labels and timestamps, then reads the recording itself: who is speaking, when they switch between Telugu, English, or Hindi mid-sentence, and how the delivery changes across a long interview or hearing. Names, terms, and callback details are extracted into structured fields your team can search and query. Then you can ask across your entire Telugu archive with AI chat, using ChatGPT, Claude, and Gemini built directly into the workspace.

• Telugu audio and video, transcribed with speaker labels and translation into English or another language.
• Handles regional variation across Coastal Andhra, Telangana, and Rayalaseema, plus code-switching with English and Hindi.
• Didascalie e sottotitoli (SRT, VTT) generati direttamente dalla trascrizione con timestamp.
• Esporta in Word, PDF, TXT, CSV o JSON, a seconda di come il tuo team ha bisogno di usarlo.

Da un file a un archivio ricercabile

The result is a Telugu archive that behaves like a well-run English one. Interviews, hearings, and support calls become searchable text instead of a folder of audio files nobody has time to relisten to, and dashboard che puoi personalizzare e white-label track themes and volume across your Telugu recordings over time. One multilingual education platform put its assessment recordings through this kind of workflow across Registratori incorporati che coprono più lingue, saving over $4,000 and 120 hours of manual review.

And because Telugu recordings rarely live in isolation from the rest of your work, the same engine scores calls and coaches teams on the same criteria, connecting Telugu transcription to valutazione delle chiamate and the wider base di conoscenza su cui il tuo team già lavora.