Simultaneous, not turn-based
SaviChat translates while you are still talking. Each clause is committed and translated the moment it is stable, so the person listening hears your first sentence while you are speaking your second — rather than waiting in silence until you stop and then hearing the whole thing at once.
It translates before you finish your sentence
Most apps that describe themselves as real-time are turn-based underneath. They wait for you to stop speaking, then transcribe, then translate, then speak — so the person listening sits in silence through everything you say and hears all of it afterwards. On anything longer than a short sentence that is a real wait, and it turns a conversation into a walkie-talkie.
SaviChat commits each clause the moment it is stable and translates it right then, without waiting for a pause. The person you are talking to hears your first sentence while you are still saying your second, and translated text streams on screen as you speak. A long answer arrives a piece at a time instead of all at once at the end. Someone who talks without pausing at all still gets flushed through in pieces rather than held to the end.
Test it yourself: You can check this on any translation app in about thirty seconds. Say three sentences without pausing between them. If nothing reaches the other person until you stop, it is turn-based. If they are hearing your first sentence while you are on your third, it is simultaneous.
Two things both get called real-time
Almost every translation product in this category uses the phrase real-time, and it covers two designs that feel completely different to use.
The common one is turn-based. The app waits for silence to decide you have finished, then transcribes what you said, then translates it, then speaks it. Everything is fast individually, but nothing starts until you stop, so the delay the other person experiences is the length of your sentence plus the processing. Say something long and they sit through all of it in silence.
The other is simultaneous, which is how human interpreters work: start converting before the speaker finishes. That is what SaviChat does. The transcript is cut into clauses as it grows, and each clause is translated and spoken as soon as it is stable enough not to be revised.
How SaviChat decides a clause is ready
The transcript from speech recognition is constantly being revised as more audio arrives, so the problem is knowing when a piece of it has settled. SaviChat uses look-ahead: once words have been recognised after a clause boundary, that clause is not going to change, so it can be translated immediately.
Punctuation is the primary boundary, and in-person mode also cuts at commas, semicolons, and colons, so a clause can commit in the middle of a sentence. For people who talk without punctuation at all, there is a run-on valve that flushes the pending text once it gets long, holding back only the last few words — the ones most likely to still be revised. That is why it never sits blank waiting for a full stop.
What it changes in practice
It changes long turns most. A one-line answer feels similar either way. A story, an explanation, a set of instructions, or an emotional answer is where turn-based translation makes the listener wait through the whole thing and then dumps it on them — and where the speaker starts self-censoring into short sentences to keep the app usable.
It also changes interruption. Because the listener is hearing you as you go, they can react at the point they want to react to, which is most of what makes a conversation feel like a conversation rather than an exchange of voicemails.
What SaviChat does not do
- No offline mode — live translation needs an internet connection on both sides.
Common questions
What is the difference between real-time and simultaneous translation?
Real-time is used for both turn-based and simultaneous designs. Turn-based waits for you to stop speaking, then translates the whole turn, so the listener hears nothing until you finish. Simultaneous translates as you speak, clause by clause, so the listener hears your first sentence while you are still saying your second. SaviChat is simultaneous.
How do I tell whether a translation app is actually real-time?
Say three sentences without pausing between them. If the other person hears nothing until you stop talking, the app is turn-based no matter what its marketing says. If they are hearing your first sentence while you are on your third, it is simultaneous. The test takes about thirty seconds and works on any app.
Does the other person hear me translated while I am still speaking?
Yes. Translated audio is delivered a sentence at a time as you talk, and translated text streams on screen alongside it, rather than arriving all at once when you stop.
What if I talk for a long time without pausing?
It still comes through in pieces. When speech has no clear punctuation, SaviChat flushes the pending text once it grows past a threshold and holds back only the last few words, so a long unpunctuated stretch is delivered progressively instead of being held to the end.
Is there any delay at all?
Yes, a short one — a clause has to be recognised and translated before it can be spoken, so the listener is a clause behind you rather than a whole turn behind you. The difference from turn-based translation is that the delay stays roughly constant instead of growing with the length of what you say.
Does SaviChat wait for me to finish speaking before it translates?
No. SaviChat commits each clause as soon as it is stable and translates it immediately, so the other person hears your first sentence while you are still speaking your second and sees translated text appear as you talk. Many apps described as real-time are turn-based instead: they wait for you to stop, then translate, then play the whole thing back.
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