Webinar software with live translation, compared honestly
Native platforms translate to captions or a narrow set of language pairs; event vendors do voice properly but sell prepaid hours through a sales call. Which is right depends on audience size, how many languages, and whether the recording has to keep the translation.
There are three categories here, and they fail in different ways. Knowing which failure you can live with is most of the decision.
Native platform features
The tooling already in your conferencing licence.
| What it does | Languages | What it needs | |
|---|---|---|---|
| Zoom | Translated captions only — no audio | 34 (+3 target-only) | Business Plus / Enterprise, or the Translated Captions add-on |
| Teams Interpreter | Voice-to-voice with voice simulation | 10 | Microsoft 365 Copilot, not Teams Premium. Excludes guests and anonymous users |
| Google Meet | Voice-to-voice, voice preserved | 5 pairs, all English-anchored | Business / Enterprise with Gemini |
Three constraints that decide most cases:
- Google Meet supports one language pair per meeting. A session with Italian, Spanish and German attendees is not possible, regardless of budget. There is also a 90-minute cap and no translation in recordings or live streams.
- Teams Interpreter does not work in webinars or town halls, and external guests without an M365 licence are excluded. The prerequisite being Copilot rather than Teams Premium puts the real entry cost around three times what most buyers assume.
- Zoom does not produce translated audio at all. If your audience is listening rather than reading, this is not a partial solution — it is a different product.
When this is the right answer: one language pair, English on one side, everyone licensed, under 90 minutes, recording does not need the translation. That is a real and common situation. Use what you have.
Event platforms
Wordly, Interprefy, KUDO, Boostlingo. Built for conferences and congresses — one speaker, many listeners — and they do that properly.
The shared characteristics matter more than the feature differences: none of them publishes a price, all require a sales call, and all sell prepaid hour blocks that expire. Wordly’s tiers start at a 10-hour minimum with 12-month expiry. Interprefy’s unused hours do not roll over, and its pricing scales with the number of languages you need.
Wordly is pure AI, covers 60 speaker languages and 7 attendee languages across 3,000+ pairs, and carries SOC 2 Type II, ISO 27001 and HIPAA. KUDO and Boostlingo lean on human interpreters — KUDO has a marketplace of 12,000.
When this is the right answer: large audiences, a procurement process that expects a contract, regular predictable volume, or a compliance questionnaire you have to pass. If you run four conferences a year and can forecast the hours, prepaid blocks are not a trap — they are just how that market prices.
AI-native tools
Newer, priced publicly, sold without a call. Palabra publishes $0.04/minute for its speech-to-speech API and runs meeting plans from $45/month annual. JotMe sits at the consumer end, around $10-15/month effective, working as a bot that joins the call — which adds latency and does not work in native WebRTC.
When this is the right answer: irregular usage, sessions announced days rather than months ahead, or a budget that does not survive a procurement cycle.
The questions that actually decide it
- Do people need to hear it, or read it? If hearing, Zoom is out.
- How many languages at once? More than one pair rules out Google Meet.
- Are there external participants? Teams Interpreter excludes unlicensed guests.
- Does the recording need the translation? Teams and Meet both drop it.
- Is your usage regular enough to forecast? If not, prepaid hours that expire will cost you more than the sticker.
- Will procurement ask for SOC 2? If yes, that narrows the field faster than any feature.
Answer those six and usually only one category survives.