You can turn spoken Hindi into text on your Android phone or iPhone without uploading the recording. OGAM (Off Grid AI Mobile) runs a downloaded speech model on your phone. Choose a multilingual model, set its language to Hindi, and dictate with Wi-Fi and mobile data off after the initial setup.
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Use this for a Hindi reminder, a message draft, or notes you prefer to speak. The steps cover recording through the app’s microphone and reviewing the resulting text before sending it.
The main choice is easy to miss: Base and Base English-only are different speech models. For Hindi, choose the version marked 99 languages.
What do you need for offline Hindi speech-to-text?
You need OGAM, a multilingual speech model, and microphone access. Use version 0.0.111 or later for the controls in this guide. The app and model downloads need internet access; local transcription can continue after you disconnect.
The published mobile requirements are:
| Phone | Published requirements |
|---|---|
| Android | Android 10 or later, with at least 4 GB of RAM |
| iPhone | iPhone 12 or newer, running iOS 17 or later |
Leave storage for the speech model as well as the app. A model also needs working memory when loaded, so its download size is not its RAM requirement.
Start with the multilingual Base model, an approximate 142 MB download. Tiny, at 75 MB, is another small option for checking the workflow. If Base misses too many words, compare it with Small, at approximately 466 MB. This order lets you test your own voice without beginning with a large download.
The current mobile release includes the speech settings used here. Check your store update if the controls differ.
How do you select Hindi in OGAM?
Open Model Settings > Transcription (Speech to Text) > Transcription model. Under On-device models, select a model marked 99 languages. Then open Chat Settings > SPEECH TO TEXT > Language and choose Hindi. Changing the phone’s system language does not make an English-only model recognize Hindi.
1. Download a multilingual speech model
Choose Base, 99 languages in the transcription picker. Wait for the download to finish and the model to load.
Check the language label before selecting it. Filenames ending in .en, such as base.en, identify English-only versions. The microphone’s first-use download shortcut can choose English-only Base, so use the model picker for this setup.
2. Set the language to Hindi
Select Hindi in Chat Settings > SPEECH TO TEXT > Language.
Use this explicit setting for your first recording. A very short name or phrase gives Auto-detect little context. You can compare Auto-detect later if you need it.
If the only choice is English, the active speech model is English-only. Return to the picker and select the multilingual version.
3. Disconnect and record
Turn on airplane mode, then check that Wi-Fi is off too. Open Chat mode, hold the app’s microphone control, speak, and release it.
Allow microphone access if the phone asks. Use the microphone inside OGAM for this check, rather than the microphone on your keyboard.
4. Check the transcript
Ordinary chat dictation places the recognized words in the message box. Review them before you send or copy the text.
For a first check, say a short sentence with a detail you can verify. For example:
मुझे सोमवार को सुबह दस बजे याद दिलाना।
This means, “Remind me on Monday at ten in the morning.” Use it as sample input for your first check. Check whether the transcript keeps Monday and ten in the morning. Punctuation and the way numbers are written can differ.
Dictating that sentence only creates text. It does not by itself schedule a reminder.
Will the result be Hindi text, Roman Hindi, or English?
These are different outputs. Hindi transcription writes down the spoken Hindi. Roman Hindi writes Hindi words using Latin letters. English translation changes the language. The speech setting selects Hindi recognition; it is not a control for choosing Roman Hindi or requesting an English translation.
| Result you want | Example | Task |
|---|---|---|
| Hindi in Devanagari | नमस्ते | Write the Hindi word in its usual script |
| Roman Hindi | namaste | Write the Hindi word with Latin letters |
| English | hello | Translate the meaning |
Names, borrowed English words, and mixed-language sentences may appear in different scripts. Review what your selected model produces.
OGAM’s local speech path disables translation. If you want Roman Hindi or English afterward, first correct the Hindi transcript. Then use a downloaded local chat model that can handle Hindi.
For Roman Hindi, you can ask:
Write this Hindi text using Latin letters. Keep the Hindi words and meaning. Do not translate it into English.
For English, ask:
Translate this Hindi text into English. Keep names, dates, and amounts unchanged.
Check the result yourself. A chat model can make mistakes in either task, and the speech model’s Hindi support does not establish the chat model’s Hindi ability.
Can it handle Hindi and English in the same sentence?
You can try mixed speech, but multilingual support does not guarantee reliable Hindi-English switching inside a sentence. Start with a short Hindi recording and the Hindi setting. Then test the kind of mixed speech you actually use, such as Hindi with an English product name.
For a useful comparison, record the same short message twice: once with Hindi selected and once with Auto-detect. Compare names, amounts, and any English terms. Treat this as a test on your own phone, not a promise that one setting always works better.
If a sentence is difficult to recognize, record shorter parts. Keep a written reference for names that are easy to confuse. Check words such as “nahi” closely: a missing negative can reverse the meaning.
The underlying Whisper project supports multilingual speech recognition, but its language support is not an accuracy guarantee for every accent or recording.
Why is my Hindi transcript wrong or missing?
Check the model and language first. An English-only model is a different problem from background noise or an incomplete download. Correct the setup before spending time comparing larger models.
| Problem | What to try |
|---|---|
| Hindi is missing from the selector | Choose a model marked 99 languages instead of an English-only version. |
| A short Hindi phrase is identified as another language | Select Hindi instead of Auto-detect and record a complete sentence. |
| English names are written differently | Correct them in the message box before sending. Test Hindi and Auto-detect with a representative sentence. |
| The recording produces no text | Check microphone permission, reduce background noise, and record again after the model loads. |
| The model cannot load | Unload unused models or try Tiny or Base. Storage space alone does not establish available RAM. |
| It works online but stops offline | Check that the active speech model is under On-device models and its download is complete. |
| Hindi text appears, but an AI response does not | Select a downloaded on-device chat model for an offline response. |
Use ordinary Chat mode with a text model for the review-before-send steps above. Voice conversation mode and models that accept audio directly can handle recordings differently.
Is Hindi transcription free, and does the audio stay local?
Local speech-to-text is included in the free OGAM app. When an on-device speech model is selected, the phone processes the audio locally. Spoken AI replies are a separate text-to-speech feature in Pro; you do not need them to dictate Hindi text.
Keep the speech model local for this workflow. Selecting a remote transcription service changes where the audio is processed. Sending the transcript to a remote chat model or connected service is a separate action.
Download multilingual Base, select Hindi, and record one sentence in airplane mode. Check the meaning and details before using it for a longer note.