Speech to Text in Indian Languages: The Complete Guide (2026)

Speech to text in Indian languages has moved from a research demo to something you can rely on every day. India’s Constitution recognizes 22 scheduled languages, and together they are spoken by more than a billion people across scripts as different as Devanagari, Bengali, Tamil, Telugu, Gurmukhi and Ol Chiki. Typing in those scripts on a phone keyboard is slow, and predictive text only helps so much. Speaking is faster and more natural, which is why voice input has become the default for many people writing in their own language. This guide covers what Indian-language speech to text can do in 2026, how offline and cloud tools differ, what to look for when choosing one, and how to get started.

Why Indian-language speech to text matters

India’s language landscape is enormous. Hindi alone has more than 500 million speakers, Bengali about 100 million, Telugu about 90 million, Marathi about 85 million, Tamil about 75 million, Gujarati about 60 million, and Urdu about 50 million in India. Kannada, Odia, Malayalam, Punjabi, Maithili and the other scheduled languages add tens of millions more. Each of these languages has its own script and its own way of combining characters, which is exactly what makes typing hard: a Devanagari or Tamil keyboard needs special handling for vowels, consonant clusters and diacritics that an English keyboard never has to think about.

Voice input sidesteps all of that. You say the word and the app writes it in the correct script with the correct spelling. For messaging, note-taking, social media posts, schoolwork, emails and office documents, dictation in your own language is often several times faster than typing. It also helps people who speak a language fluently but are less practiced at typing it.

How Indian-language speech to text works

The mechanics are the same across languages. You tap a microphone, speak, and a recognition model converts the audio into text. The important part is what happens between the microphone and the transcript. A model that works for one language cannot simply be reused for another: the sounds, the script and the vocabulary are all different. Serious Indian-language tools train or tune a model per language, or use a multilingual model with a dedicated vocabulary and decoding path for each of the 22 scheduled languages. That is the difference between an app that produces usable text and one that gives you something close to the right language. For a plain-language tour of the full pipeline, from audio capture to final text, see our article on how speech to text works.

Offline vs cloud speech to text

This is the biggest practical decision you will make. Cloud speech to text uploads your audio to a server, where a large model transcribes it and sends the text back. It works well when you have a fast connection, but it stops working when you do not, and your recordings spend time on someone else’s infrastructure.

Offline speech to text bundles the recognition model on your device. Transcription happens locally: no upload, no internet connection, no waiting for a server. Your audio never leaves your device. For Indian languages this matters more than it might seem, because connectivity is not always reliable, and because voice recordings can contain sensitive conversations: meetings, medical details, personal messages.

Veena is built around the offline approach. Its recognition engine is IndicConformer-600M-Multilingual, exported to ONNX and quantized so it runs entirely on-device on phones and desktops. Transcription is fully local and works without an internet connection.

How to choose an Indian-language speech to text tool

Four things matter:

• Language coverage. Some apps handle English plus a handful of major languages. If you work in a less common language such as Bodo, Dogri, Konkani, Maithili, Manipuri, Santali or Sindhi, your options narrow quickly. Check that your language, and the script you want, is actually supported before you invest time.
• Privacy. If the app uploads audio to the cloud, your recordings are on a server. On-device apps keep everything local. Decide which trade-off you are comfortable with.
• Platform. Do you need it on Android and iOS, on desktop, or both? Workflows differ: on a phone you dictate into a text box; on a desktop you often want text pasted directly into the app you are using.
• Cost. Some tools are free, some are subscription-based. Veena is free, with no account required and nothing to unlock.

Veena: speech to text for all 22 scheduled languages

Veena is a speech to text app built specifically for Indian languages. Its multilingual engine covers all 22 scheduled languages — Assamese, Bengali, Bodo, Dogri, Gujarati, Hindi, Kannada, Kashmiri, Konkani, Maithili, Malayalam, Manipuri (Meitei), Marathi, Nepali, Odia, Punjabi, Sanskrit, Santali, Sindhi, Tamil, Telugu and Urdu — each with its own vocabulary and decoding tuned for it.

Veena is free, requires no account, uses no cloud, and works fully offline. On Android and iOS you record, get an editable transcript, copy or share it, and replay the last recording. On Windows, macOS and Linux you can use push-to-talk or a global shortcut, and the text is pasted directly into the app you are using or copied to the clipboard. Transcription itself is fully on-device.

If you write in Hindi, Tamil, Telugu or Bengali most of the time, start with those pages: Hindi speech to text, Tamil speech to text, Telugu speech to text and Bengali speech to text. The full list of supported languages is on the language hub.

The bottom line

Indian-language speech to text is mature enough in 2026 to replace typing for most everyday writing. The tools that work best are the ones that match your language, respect your privacy, and fit your devices. Start with a tool that covers your language properly and works offline, and spend a few minutes dictating real sentences to judge the output for yourself.