Translate audio, video, and text across 100+ languages
Go beyond text-to-text translation. Speak AI transcribes your audio and video content, then translates it with preserved speaker labels, timestamps, and full NLP analysis. Translate meetings, interviews, and media files in over 100 languages.
Record and translate meetings directly from the platforms your team already uses. Calendar sync, meeting bots, and workflow automation through Zapier.
What makes Speak AI translation different
Most translation tools handle text. Speak AI starts with your audio and video, transcribes it accurately, then translates the full conversation with context, speaker labels, and timestamps intact.
Audio and video translation
Translate recordings, meetings, and media files directly. Speak AI transcribes your content in the original language first, then translates the full transcript. This is not text-to-text translation. It is a complete audio-to-translated-text pipeline that captures every word spoken.
100+ language pairs
Translate between over 100 languages including English, Spanish, French, German, Japanese, Korean, Arabic, Portuguese, Mandarin, and many more. Whether your team works across two languages or twenty, Speak AI handles multilingual workflows at scale.
Speaker identification preserved
Know who said what, even in translation. Speak AI maintains speaker labels through the transcription and translation pipeline so you can follow individual participants across languages without losing track of the conversation flow.
Timestamps maintained
Translated content stays synced to the original recording timeline. Jump to any moment in the original audio or video and see the translated text aligned to that timestamp. Critical for research, legal review, and content production workflows.
AI-powered accuracy
Speak AI uses multiple AI translation engines to deliver high-accuracy results across language pairs. The transcription-first approach means translations are grounded in what was actually said, not approximations from noisy audio passed directly to a translation model.
Full NLP analysis on translated content
Run sentiment analysis, keyword extraction, topic detection, and named entity recognition on your translated transcripts. Speak AI's NLP pipeline works across languages, so you get the same depth of analysis regardless of the source language.
How teams use Speak AI for translation
From multilingual research to global business communication, Speak AI handles translation workflows that go far beyond converting a block of text.
Multilingual research interviews
Conduct interviews in one language and analyze them in another. Researchers use Speak AI to transcribe interviews in the participant's native language, translate them for cross-language coding, and run thematic analysis across the entire dataset.
International meeting transcription
Translate meeting recordings from Zoom, Teams, and Google Meet into any language your team needs. Distributed teams use Speak AI to ensure everyone can review meeting content in their preferred language with full speaker attribution.
Content localization
Translate podcast episodes, webinars, training videos, and marketing content into multiple languages. Speak AI's transcription-to-translation pipeline gives you accurate translated transcripts ready for subtitling, dubbing, or publishing.
Global customer feedback analysis
Analyze customer calls, support recordings, and feedback sessions across languages. Translate everything into a single language for unified sentiment analysis, keyword tracking, and trend detection across your entire customer base.
Academic research across languages
Process oral histories, field recordings, and focus groups conducted in any language. Speak AI helps investigadors qualitatius work with multilingual datasets while maintaining the rigor that academic work demands.
Cross-border business communication
Bridge language gaps in international negotiations, partner calls, and vendor meetings. Translate recordings after the fact so both sides have accurate documentation in their native language, complete with timestamps and speaker identification.
Com funciona
Upload or record
Upload audio or video files in any supported format, or connect Speak AI to your meeting platform. The Assistent de reunions amb IA can join Zoom, Teams, and Google Meet calls automatically to capture recordings for you.
Transcribe in the original language
Speak AI transcribes your content with high accuracy in the source language. Speaker identification, timestamps, and paragraph segmentation are all handled automatically. This creates the foundation for an accurate translation.
Translate to your target language
Select one or more target languages and Speak AI translates the full transcript. Speaker labels and timestamps carry through to the translated version so you maintain complete context and attribution.
Analyze, search, and export
Run NLP analysis on translated content, search across your multilingual library, and export transcripts in multiple formats. Use Xat amb IA powered by Claude, GPT, and Gemini to ask questions about your translated content.
Translation that starts with your voice
The translation landscape has changed dramatically. For decades, translation meant converting text from one language to another, whether through human translators, machine translation engines, or a combination of both. Tools like Google Translate made text translation accessible to everyone. But text-to-text translation only solves part of the problem. The fastest-growing category of content that needs translation is not text. It is audio and video.
Meetings, interviews, podcasts, webinars, customer calls, research sessions, and training videos all generate enormous volumes of spoken content that teams need to understand across languages. Converting that spoken content into translated text requires two distinct capabilities: accurate transcripció automatitzada and reliable translation. Speak AI combines both into a single pipeline. Upload a recording, get a transcription in the original language, then translate it to any of over 100 supported languages with speaker labels and timestamps preserved throughout.
Why transcription-first translation matters
Passing raw audio directly to a translation model produces unreliable results. Background noise, overlapping speakers, and domain-specific terminology all degrade output quality. Speak AI's approach is different. The platform first produces a high-accuracy transcription in the source language, with speaker identification and timestamp alignment. That clean, structured transcript then serves as the input for translation. The result is significantly more accurate than audio-to-translation shortcuts, and it preserves the metadata that makes translated content actually useful: who said what, and when they said it.
This matters especially for research, legal, and business contexts where attribution is critical. A translated transcript that tells you "Speaker 2 said this at 14:32" is fundamentally more useful than a block of translated text with no context. Teams using Speak AI for investigació qualitativa rely on this structure to code and analyze interviews conducted in languages they do not speak fluently.
Analysis that works across languages
Translation alone is not the end goal for most teams. They need to understand patterns, extract insights, and make decisions based on multilingual content. Speak AI's NLP pipeline runs on translated transcripts the same way it runs on source-language content. Sentiment analysis, keyword extraction, topic detection, and named entity recognition all work across languages. Teams analyzing customer feedback from multiple regions can translate everything into a single language and run unified analysis across the entire dataset. The same applies to anàlisi d'àudio i anàlisi de vídeo workflows where multilingual content needs to be compared and coded together.
Speak AI also supports multi-model AI Chat powered by Claude, GPT, Gemini, and Cohere. Ask questions about your translated content, generate summaries, or extract specific data points across your multilingual library. Combined with the Assistent de reunions amb IA that automatically captures and transcribes meetings, teams can build end-to-end workflows where every conversation is recorded, transcribed, translated, analyzed, and searchable, regardless of what language it was conducted in.
Teams trust Speak AI for multilingual workflows
"Utilitzo Speak en francès i anglès per a reunions de fins a dues hores. Estalvia temps i augmenta la precisió dels meus informes."
Francesc L. Assessor financer, revisió de G2
"High accuracy, multilingual support, and insightful analysis. Integrations with Google and Zapier make it easy to streamline everything."
Volker B. Director d'operacions, revisió de G2
"Vam passar de setmanes d'anàlisi de qualitat a un dia. Fàcil d'utilitzar, fàcil d'implementar, i el suport ha estat increïble."
Connor H. Analista de dades, revisió de G2
"Abans dedicava entre 45 i 30 minuts a transcriure notes. Ara es fa en segons, i escric en minuts."
Ted H. Propietari de l'empresa, ressenya de G2
"S'uneix a les reunions, enregistra, documenta i resumeix. No em perdo punts importants i m'estalvia molt de temps."
Ercan T. Desenvolupament empresarial, revisió de G2
"És fàcil d'utilitzar, i realment puc contactar amb l'equip darrere del producte. Valuós parlar amb un humà real."
Marc B. Director mèdic, revisió de G2
Preguntes freqüents
Common questions about AI translation, how it works with audio and video, and what you can do with translated content in Speak AI.
How does audio translation work in Speak AI?
Speak AI uses a transcription-first approach. When you upload an audio or video file, the platform first transcribes it in the original language with high accuracy, speaker identification, and timestamps. That structured transcript is then translated into your target language. This two-step process produces significantly more accurate translations than passing raw audio directly to a translation model, and it preserves speaker labels and timing throughout.
Quins idiomes admet Speak AI?
Speak AI supports transcription and translation across over 100 languages, including English, Spanish, French, German, Portuguese, Japanese, Korean, Mandarin Chinese, Arabic, Hindi, Russian, Italian, Dutch, Swedish, Polish, Turkish, and many more. The platform supports a wide range of language pairs for translation, and new languages are added regularly. Check the platform for the most current list of supported languages.
Can I translate meeting recordings?
Yes. Speak AI integrates with Zoom, Google Meet, and Microsoft Teams through its AI meeting assistant. Meetings are recorded and transcribed automatically, and you can translate the transcript into any supported language after the meeting ends. Speaker labels are preserved so you know exactly who said what in the translated version. This is particularly useful for distributed teams working across different languages.
How accurate is AI translation?
Translation accuracy depends on the language pair, audio quality, and subject matter. Speak AI's transcription-first approach improves accuracy by ensuring the translation engine receives clean, structured text rather than noisy audio. The platform uses multiple AI translation engines to deliver reliable results across language pairs. For critical use cases, we recommend reviewing translated output, especially for specialized terminology or low-resource language pairs.
Can I translate and analyze at the same time?
Yes. Once content is translated, Speak AI's full NLP pipeline is available on the translated transcript. You can run sentiment analysis, keyword extraction, topic detection, and named entity recognition on translated content. You can also use AI Chat powered by Claude, GPT, and Gemini to ask questions about your translated transcripts, generate summaries, and extract insights across your multilingual content library.
Does translation preserve speaker labels?
Yes. Speaker identification is maintained through the entire transcription and translation pipeline. If Speak AI identifies three speakers in the original recording, those same speaker labels carry through to the translated transcript. This is essential for research interviews, meeting documentation, and any context where knowing who said what matters as much as knowing what was said.
Can I translate video content?
Yes. Speak AI handles video files the same way it handles audio. Upload a video file, and the platform extracts the audio track, transcribes it in the source language, and translates it to your target language. Timestamps are aligned to the original video timeline so you can follow along with the translated transcript while watching the video. This works for uploaded files as well as meeting recordings captured through the platform's integrations.
Hi ha judici?
Yes. Speak AI offers a free 7-day trial that includes access to transcription, translation, NLP analysis, AI Chat, and all core platform features. No credit card is required to start. You can upload files, translate content, and explore the full platform during the trial period. If you need help evaluating Speak AI for your specific use case, you can also book a demo with the team.
Ready to translate audio and video across languages?
Whether you need to translate meeting recordings, research interviews, or media content, Speak AI gives you accurate translations with speaker labels, timestamps, and full NLP analysis. Start a trial or talk to our team about your multilingual workflow.
Start translating today
Create a free account and start your 7-day trial. Upload audio or video, transcribe in the original language, and translate to over 100 languages. No credit card required, and you get full access to transcription, translation, NLP analysis, and AI Chat.
Parla amb el nostre equip
Need help setting up multilingual workflows for your organization? Book a demo and we will walk through your use case, show you how the translation pipeline works, and help you get started with the right configuration for your team.





