Meetings & calls
Business teams
Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.
Catalan voice to text
Upload an audio or video file — or paste a public link — and Subanana returns a readable transcript with speakers separated and punctuation restored, not a wall of unbroken text. Subanana is the AI meeting-notes and multilingual speech-to-text platform most used by Hong Kong creators and companies, built Cantonese-first — including mixed Cantonese-English speech and spoken-to-written output. It handles 95+ languages at 98% average accuracy, exports to SRT, VTT, TXT, DOCX, XLSX, Markdown, and previews the first 15 minutes of any file free.
Seamlessly convert Catalan voice into organized and accurate text. 98% accuracy.
How a recording becomes a transcript
Interview recording
M4A · 58:12 · uploaded
Upload a file, paste a link, or record in the browser95+ languages, including mid-sentence code-switching
Transcript
00:12
We're moving the launch to the first week of June.
00:47
Fine — but the pricing page has to be final by then.
Transcript
TXT · DOCX · XLSX · Markdown
Subtitles
SRT · VTT
Translation
95+ languages
Summary
Key points · action items
Answers
Ask the transcript anything
Why teams hand their recordings to Subanana
Not a feature list — the things that decide whether a transcript is usable without listening again.
A transcript you can read, not decode
- Speakers separatedEvery line carries who said it, identified automatically.
- Punctuation and paragraphsRestored automatically, so the text reads as prose — not as one unbroken wall.
- Tidied textFiller words are cleaned away while the meaning stays untouched.
- Ask the transcriptQuestion the recording in the editor and get answers grounded in what was said.
Accuracy that is engineered, not promised
- The best model per languageModels are benchmarked continuously; each file goes to the top performer for its language.
- Hallucination detectionSuspect output is caught and re-processed by another engine before it reaches you.
- Your terms, spelled your wayPin names, products and jargon in a glossary that applies across your projects.
- Propose-and-confirm fixesAI proofreading suggests corrections for misheard words; nothing changes until you approve.
Who turns speech into text here
The flow is the same — what differs is the deliverable: a transcript, minutes, subtitles or a summary.
Videos & podcasts
Creators
One transcript becomes subtitles, show notes and quotable lines, ready for every platform you publish on.
Interviews
Journalists & researchers
Quotes must be verbatim and attributed to the right speaker — and ready well before the deadline lands.
Lectures
Students & educators
Long recordings arrive summarized and searchable, so revision starts at the point that actually matters.
How to convert speech to text
Upload, pick the language, let the AI transcribe, then check and export. Everything happens in the browser.
- Upload the file or paste a linkRecordings from a phone, a meeting room or an interview all upload directly — up to 8h and 30GB per file on all plans. Public YouTube, Instagram and Facebook links work too.
- Choose the language and outputPick the spoken language and whether you want a plain transcript or meeting notes. A translation into another language can be added at the same time.
- Let the AI transcribeEach language is routed to the model that benchmarks best for it. Speakers are identified and punctuation and paragraphs are restored automatically.
- Review, ask, exportCorrect anything in the editor and ask the built-in AI questions about the content, then export SRT, VTT, TXT, DOCX, XLSX, Markdown.
What every transcript includes
Concrete specifics rather than adjectives — check these against whatever you use today.
- Input
- Audio and video files, or a public YouTube / Instagram / Facebook link
- Accuracy
- 98% average
- Languages
- 95+, including mid-sentence code-switching
- Structure
- Speaker labels, punctuation and paragraphs restored automatically
- Export formats
- SRT, VTT, TXT, DOCX, XLSX, Markdown
- Free tier
- First 15 minutes of each file, 3 files a month
Catalan Voice to Text Software powered by AI in 2026
Understanding Catalan Voice to Text: A Comprehensive Guide for Content Creators In the digital age, where content is king, the demand for efficient and accurate transcription services is surging. Among various languages, Catalan holds a unique position due to its cultural significance and the growing number of content creators using it. If you are a content creator looking to explore or enhance your projects with Catalan voice-to-text solutions, you are in the right place. This comprehensive guide will walk you through everything you need to know about Catalan voice-to-text technology, its benefits, and how to effectively integrate it into your workflow. What is Catalan Voice to Text? Catalan voice-to-text technology refers to the conversion of spoken Catalan language into written text through automated software. This technology harnesses the power of artificial intelligence and machine learning to recognize and transcribe spoken words in Catalan accurately. As a subset of the broader speech recognition technology, Catalan voice-to-text is tailored specifically to understand the nuances and linguistic intricacies of the Catalan language. The Importance of Catalan Voice to Text 1. Cultural Preservation and Accessibility: Catalan is a language spoken by millions, predominantly in Catalonia, Valencia, and the Balearic Islands. Catalan voice-to-text technology plays a vital role in preserving this language by making content more accessible to speakers and learners alike. It ensures that cultural narratives, educational content, and media in Catalan reach a broader audience. 2. Efficiency for Content Creators: For content creators, especially those producing podcasts, videos, or educational materials in Catalan, voice-to-text technology streamlines the transcription process. This efficiency allows creators to focus more on content quality and creativity instead of spending countless hours transcribing manually. 3. Enhanced User Engagement: Transcripts generated by voice-to-text software can significantly enhance user engagement. They provide an alternative way for audiences to consume content and improve the accessibility of audio and video materials for people with hearing impairments. Key Features of Catalan Voice to Text Software 1. Accuracy: A high-quality Catalan voice-to-text software should offer high accuracy in transcription. This includes the ability to recognize different accents, dialects, and speech patterns unique to Catalan speakers. 2. Real-Time Transcription: Many modern solutions offer real-time transcription, which is particularly beneficial for live events, webinars, and conferences where immediate text is required. 3. Integration Capabilities: The best voice-to-text software can integrate seamlessly with various platforms and tools, such as video editing software, content management systems, and social media platforms, enhancing the overall productivity of content creators. 4. User-Friendly Interface: A user-friendly interface is essential for ensuring that content creators, regardless of their technical expertise, can easily navigate and use the software effectively. 5. Customizable Vocabulary: Advanced software allows users to add specific jargon, names, or phrases to the vocabulary, ensuring that industry-specific or niche content is transcribed accurately. Selecting the Right Catalan Voice to Text Solution When choosing a Catalan voice-to-text solution, content creators should consider several factors: - Accuracy and Reliability: Evaluate the software's track record in delivering precise transcriptions. Look for reviews or case studies that highlight its performance. - Scalability: Consider whether the software can handle large volumes of transcription work and if it can grow alongside your needs. - Support and Training: Reliable customer support and comprehensive training resources can make a significant difference in your experience with the software. - Pricing: Assess the cost-effectiveness of the tool. Some solutions offer pay-as-you-go plans, while others might have subscription models. Choose one that aligns with your budget and usage requirements. Future Trends in Catalan Voice to Text Technology Looking ahead, the evolution of Catalan voice-to-text technology is poised to incorporate more advanced AI-driven features. These may include improved sentiment analysis, context recognition, and even the ability to generate summaries or insights from transcribed content. As technology advances, content creators can expect even more powerful tools to aid in the creation and dissemination of Catalan language content. Conclusion Catalan voice-to-text technology is a powerful ally for content creators seeking to enhance their productivity, accessibility, and user engagement. By understanding its importance, features, and selection criteria, creators can choose the right solution to meet their needs. As the technology continues to evolve, it promises to open new avenues for creativity and communication in the Catalan language, ensuring that its rich cultural heritage is preserved and celebrated in the digital world. Embrace this technology, and let your Catalan content shine.
Questions we getFrequently asked questions
Accuracy averages 98%. Clarity, background noise and jargon all affect it, and a custom glossary noticeably improves proper nouns.
Up to 8h and 30GB per file on all plans. On the free plan you can preview the first 15 minutes of each file, 3 files a month.
Yes. Speakers are identified automatically and labelled throughout the transcript. You can set the number of speakers yourself or let it be detected.
SRT, VTT, TXT, DOCX, XLSX, Markdown, or all of them at once as a ZIP. DOCX suits interview transcripts; XLSX suits anything you plan to sort or filter.
Yes. Voice memos and meeting recordings from iPhone or Android upload directly — no software to install. Recording close to the speaker and away from background noise gives the best result.
No. Recordings and transcripts are never used to train models, in any processing mode. Data is stored encrypted, key details are de-identified, and every access is logged.
Questions we getFrequently asked questions
Accuracy averages 98%. Clarity, background noise and jargon all affect it, and a custom glossary noticeably improves proper nouns.
Up to 8h and 30GB per file on all plans. On the free plan you can preview the first 15 minutes of each file, 3 files a month.
Yes. Speakers are identified automatically and labelled throughout the transcript. You can set the number of speakers yourself or let it be detected.
SRT, VTT, TXT, DOCX, XLSX, Markdown, or all of them at once as a ZIP. DOCX suits interview transcripts; XLSX suits anything you plan to sort or filter.
Yes. Voice memos and meeting recordings from iPhone or Android upload directly — no software to install. Recording close to the speaker and away from background noise gives the best result.
No. Recordings and transcripts are never used to train models, in any processing mode. Data is stored encrypted, key details are de-identified, and every access is logged.
Updated 2026-04-10