AnyLang or Glossa for your church
The closest thing to us on the market, and the comparison most worth doing properly. The same idea at the core — so the useful question is not which is cheaper, it is what else each one can do on a Sunday morning.
The translation is the easy part. The rest is the difference.
Both take the preacher's audio, translate it with AI and deliver it to phones in the room with no app to install. Both take audio from the desk, both caption for people who are hard of hearing, and both serve churches. If that is what you need, you will be well served either way. The difference shows up around the edges of a real Sunday: whether the volunteers who already interpret for two rows can take a language each on the same broadcast, what happens during the singing, and whether a language nobody chose is metered at all.
- Your own interpreters
- Any output language
- Music
- Not translated
- Audio from an encoder
- RTMP
- Free on signup
- 30 credits
Side by side
Checked against glossa.live in September 2026. Their column says what Glossa publishes, and says so where they publish nothing — it is not a score, and an absence is never inferred from silence.
| Glossa | AnyLang | |
|---|---|---|
| Your own interpreters | Glossa publishes AI translation; a human interpreter channel is not among its features. | Any of your output languages can be handed to a person on the same broadcast — one interpreter per language, as many languages as you have people for, and the rest stay on AI. Listeners on a covered language hear the person by default and can switch to the AI. |
| Languages at once | No stated limit; each language you translate into draws on its own hours. | Five output languages per broadcast, a firm cap, plus captions in the language being spoken, which takes none of the five. |
| Deaf and hard of hearing | Real-time transcription is offered for hard-of-hearing members. | The same. Captions in the language actually being spoken are their own switch, they take none of the five output slots, and they open no AI session of their own — so a broadcast that is already translating carries them at no extra cost. |
| Where the audio comes from | A mixer feed, a microphone, or a streaming encoder — OBS and RTMP are published integrations. | The same. In encoder mode the broadcast belongs to the session rather than to the browser tab, so it keeps translating with the console closed. |
| Scripture | A translation engine trained for biblical language. | The model is told to reproduce a quoted verse in the wording of a standard published Bible for that language — the NTR in Romanian, the Luther Bible in German — rather than re-translating the speaker's paraphrase. |
| Afterwards | What is kept after a service is described on their site. | Every language the AI translated is kept as text, with the untranscribed stretches marked rather than quietly closed up. A language a person interpreted has audio but no transcript — nothing transcribes an interpreter. A full recording of the service is a separate switch, and the one setting that spends credits with nobody listening. |
| Who it is built for | Churches, conferences and events. | The same ground. The organization type is an account setting — worship, conference, education, government and more — and the model's framing changes with it, including whether Scripture guidance is used at all. |
| What a visitor does | Scans a QR code and picks a language in the browser. | The same — QR, link, or a six-character code, no app and no account. |
Swipe the table sideways to see both columns
What a Sunday can carry here
None of this is instead of the translation. It is what sits around it.
Your interpreters, amplified
The people who already whisper for two rows take a language each, and everyone on it hears them. While listeners stay with the person no AI runs on that language, so you pay the connection rather than the translation.
Captions that cost you nothing extra
In the language actually being spoken, on their own screen, with text size and contrast they control. It takes none of the five language slots and opens no AI session of its own.
Music is left alone
Singing is recognized and not translated, so a hymn does not come out as invented lyrics in five languages — and those minutes do not carry the cost of a translated one.
The service, kept
Switch recording on and the spoken track and one translated language are saved for the whole service, with a bar showing where the speech and the pauses were. It is the one setting that spends credits with nobody listening — the translation has to keep running to be recorded — and the console says so before you turn it on.
A poster you print once
A permanent address like /s/biserica, on a printable graphic with a QR, in the language you choose. It stays valid from one service to the next.
Who actually listened
Numbers per language, live and afterwards, so next month you enable the languages people really chose instead of the ones you guessed.
What AnyLang adds around the translation
Glossa is a good product built by people who understand churches, and on the core job the two of us do the same thing — both caption for the hard of hearing, both take audio from the desk, both serve churches and conferences. These are the things worth knowing about ours. Only the first is something Glossa does not offer at all.
- Human interpreters on the same broadcast, which Glossa does not offer. Any of your output languages can be handed to a person — one interpreter per language, as many languages as you have people for. Everyone on a covered language hears them by default and can switch to the AI; while they stay with the person you pay the connection rather than the translation.
- Music recognized and left untranslated. A hymn is not a talk to be interpreted, so the translation waits for the singing and picks up with the speaking — and those minutes do not carry the cost of a translated one.
- A meter that runs per language, and only while somebody is listening. A language nobody chose that Sunday opens nothing and is not charged, so you can offer five and pay for the one the room actually picked.
- Captions in the language actually being spoken, on a channel that takes none of your five output slots and opens no AI session of its own — so a broadcast that is already translating carries them at no extra cost.
- A recording of the whole service, with a bar showing where the speech and the pauses were, plus the transcript for every language the AI translated. It is the one setting that spends credits with nobody listening, and the console says so before you turn it on.
- Audience figures per language, live and afterwards, so next month you enable the languages people really chose rather than the ones you guessed at.
Common questions
How do we work out which is cheaper for us?
It depends on how often you broadcast and how many languages people actually pick, so we are not going to answer it on our own page — we would be both a party and the referee. What we will say is that on cost we are not clearly ahead of them, which is why this page is about the differences above instead.
Do you clone the preacher's voice?
We do not offer voice cloning as a feature: we ask for no samples and build nobody's voice profile. The translation model we use can carry some of the speaker's timbre into the translated audio, but that is the model's behaviour rather than a setting, and it is not something you can ask for or rely on. Glossa offers cloning as a declared feature — if a translated voice that reliably sounds like your preacher is what you want, that is a real difference and worth weighing.
How are Bible quotations handled?
The model is told to reproduce a quoted verse in the wording of a standard published Bible for that language rather than re-translating the speaker's paraphrase of it, and for five languages a specific translation is named. It matters because a congregation recognises the verse it grew up with; a fresh translation of the same verse is correct and still sounds wrong.
Can we try both?
Yes, and on the same Sunday. Both take audio from your desk and deliver to the congregation's own phones, so you can print two codes and ask people afterwards which they would rather use. Our 30 free credits are roughly half an hour in one language — enough to hear it on your own preacher before you spend anything.
What if we grow past five languages?
Five output languages is a firm cap per broadcast, plus captions in the language being spoken, which does not use one of the five. It covers almost every room; if you regularly need more in one service, a platform without that cap is the better fit for it.
Try it this Sunday
30 free credits, no card. Enough to hear it on your own preacher, in your own building, before you decide anything.