AI的现场翻译工具在人们还在交谈时，将演讲变成翻译字幕或演讲。 市场现在跨越消费者应用，满足附加，事件平台和开发者API. 我们对照官方产品、定价和文件网页检查了12种工具。
什么是AI现场翻译工具？
它几乎实时地聆听、翻译、翻译和输出字幕或合成讲话。 大多数产品连锁语音识别，机器翻译和文本转语音。 说明服网络研讨会。 语音输出适合双向通话。
按使用案例分类的12项工具
实时对话和开发者 APIs
1. Palabra.ai:Palabra.ai进行双向语音对语音翻译，自动语音克隆和字幕。 其声称在1秒潜伏下，并提供WebRTC和WebSocket API. API的语音对语音费用每分钟0.04美元；会议计划每月60美元。
2. Google Translate Live 翻译：Google's Gemini 3.5 Live Translate涵盖70+语言，并保存 innation and space. Google 称输出在扬声器后面运行几秒。 它工作于任何耳机的Translate应用，以及Gemini Live API预览中。
3. Apple现场翻译：Apple现场翻译通过AirPods播放翻译演讲，并完全运行在设备上。 它支持10种语言变体。 它需要最近的AirPods和Apple Intelligence iPhone在iOS 26.
内部会议平台
4. DeepL Voice: DeepL Voice for Conference 在Teams,Zoom和Google Meeting中将40+语言翻译成语音和字幕。 会议数据在呼叫结束后删除。 深层方案计划包括每个用户每月30分钟的语音。
5. Microsoft Teams 口译员 agent：口译是Copilot agent，用于Teams的语音对语音口译，可选语音模拟。 管理文件列出9种语言；支持页列出10种。 Copilot许可证包括每个用户每月20小时。
6. 乔特梅：乔特梅捕捉Zoom,Teams,Meet和Webex音频没有机器人。 它的200+语言是翻译目标；快模式提供13. 每月收费10美元。
7. Talo:Talo 加入 Zoom,Google Meets或Teams，配有60+语言的翻译语音和字幕。 每月80美元每年收费400分钟
活动和网络研讨会
8. Wordly:Wordly销售会议AI口译，并配有字幕和3000+语言配对的AI音频。 按其FAQ，每句结束后音频播放。 包裹从大约1500美元开始，10小时。
9. 口译：口译结合了人类口译员和口译AI字幕和演讲。 它的知识库列出了82种得到充分支持的语言。 翻译 Now将列席电话转换为接收器。 定价基于引用。
10. KUDO:KUDO配有12,000名以上口译的AI语音翻译。 AI方面列出77种语言，每次会议最多32种。 定价基于引用。
11. Boostlingo:Boostlingo针对的是医疗保健、法律和事件。 其AI产品涵盖130+语言，由人类口译员支持。 它指出90%至98%的AI精度和HIPAA遵守。
12. Maestra Live: Maestra Live 新增以125+语言对Zoom,Meet,Teams,OBS和vMix进行现场字幕，翻译和配音。 高利贷每月费用为79美元；欺骗开始为159美元。
12AI的现场翻译工具如何比较？.
你该选哪个AI现场翻译工具？
- 双向呼叫或产品集成：Palabra.ai或Gemini Live API.
- 旅行和面对面：Google翻译或Apple Live翻译。
- 每天在一个平台举行会议：DeepL Voice、Teams口译、JotMe或Talo。
- 会议和网络研讨会：文字、口译或KUDO。
- 规范的高考班：布斯特林戈或KUDO，人员口译待命。
关键外卖
- Gemini 3.5 Live用70+语言将带来语音对语音翻译为任何耳机。
- 口译只涵盖9至10种语言，但载有Copilot的船只。
- 事件平台，如Wordly, Interprify和KUDO 大多以引文为基础。
- 语言计数不是apples到apples，所以飞行员在自己的对。
检查上面链接的每个供应商的官方网页，了解目前的语言和价格。 2026年10月12日事实核实。
米哈尔·萨特(Michal Sutter)是一名数据科学专业人员，拥有帕多瓦大学的数据科学硕士学位。 在统计分析、机器学习和数据工程方面有一个坚实的基础，Michal在将复杂的数据集转化为可操作的见解方面表现突出。
本文由 AI图鉴自动抓取并翻译，版权归原作者所有；如需查看原文请点下方链接。
AI live translation tools turn speech into translated captions or speech while people are still talking. The market now spans consumer apps, meeting add-ons, event platforms and developer APIs. We checked 12 tools against official product, pricing and documentation pages.
What is an AI live translation tool?
It listens, transcribes, translates and outputs captions or synthetic speech in near real time. Most products chain speech recognition, machine translation and text-to-speech. Captions suit webinars. Speech output suits two-way calls.
The 12 tools, grouped by use case
Real-time conversations and developer APIs
1. Palabra.ai: Palabra.ai does two-way speech-to-speech translation with automatic voice cloning and captions. It claims under 1 second latency and offers a WebRTC and WebSocket API. API speech-to-speech costs $0.04 per minute; Meetings plans start at $60 per month.
2. Google Translate Live translate: Google’s Gemini 3.5 Live Translate covers 70+ languages and preserves intonation and pacing. Google says output runs a few seconds behind the speaker. It works in the Translate app with any headphones, and in the Gemini Live API preview.
3. Apple Live Translation: Apple’s Live Translation plays translated speech through AirPods and runs entirely on device. It supports 10 language variants. It needs recent AirPods and an Apple Intelligence iPhone on iOS 26.
Inside meeting platforms
4. DeepL Voice: DeepL Voice for Meetings translates 40+ languages into voice and subtitles in Teams, Zoom and Google Meet. Meeting data is deleted when the call ends. DeepL Pro plans include 30 Voice minutes per user monthly.
5. Microsoft Teams Interpreter agent: Interpreter is a Copilot agent for speech-to-speech interpretation in Teams, with optional voice simulation. Admin docs list 9 languages; the support page lists 10. A Copilot license includes 20 hours per user monthly.
6. JotMe: JotMe captures Zoom, Teams, Meet and Webex audio without a bot. Its 200+ languages are translation targets; fast mode offers 13. Pro costs $10 per month billed annually.
7. Talo: Talo joins Zoom, Google Meet or Teams with translated voice and captions in 60+ languages. Pro costs $80 per month billed annually for 400 minutes.
Events and webinars
8. Wordly: Wordly sells conference AI interpretation with captions and AI audio across 3,000+ language pairs. Per its FAQ, audio plays after each sentence ends. Packages start at about $1,500 for 10 hours.
9. Interprefy: Interprefy combines human interpreters with Interprefy AI captions and speech. Its knowledge base lists 82 fully supported languages. Interprefy Now turns attendee phones into receivers. Pricing is quote-based.
10. KUDO: KUDO pairs an AI speech translator with 12,000+ human interpreters. The AI side lists 77 languages, up to 32 per meeting. Pricing is quote-based.
11. Boostlingo: Boostlingo targets healthcare, legal and events. Its AI products cover 130+ languages, backed by human interpreters. It states 90 to 98% AI accuracy and HIPAA compliance.
12. Maestra Live: Maestra Live adds live captions, translation and dubbing to Zoom, Meet, Teams, OBS and vMix in 125+ languages. Premium costs $79 per month; dubbing starts at $159.
How do the 12 AI live translation tools compare?
Which AI live translation tool should you pick?
- Two-way calls or product integration: Palabra.ai or the Gemini Live API.
- Travel and face-to-face: Google Translate or Apple Live Translation.
- Daily meetings on one platform: DeepL Voice, Teams Interpreter, JotMe or Talo.
- Conferences and webinars: Wordly, Interprefy or KUDO.
- Regulated, high-stakes sessions: Boostlingo or KUDO, with human interpreters on standby.
Key Takeaways
- Gemini 3.5 Live Translate brings speech-to-speech in 70+ languages to any headphones.
- Teams Interpreter covers only 9 to 10 languages but ships with Copilot.
- Event platforms like Wordly, Interprefy and KUDO stay mostly quote-based.
- Language counts are not apples to apples, so pilot on your own pairs.
Check each vendor’s official page linked above for current languages and pricing. Facts verified October 12, 2026.
Michal Sutter is a data science professional with a Master of Science in Data Science from the University of Padova. With a solid foundation in statistical analysis, machine learning, and data engineering, Michal excels at transforming complex datasets into actionable insights.
Auto-fetched and translated by AI Atlas. All rights belong to the original author.