Meetings & calls
Business teams
Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.
Catalan Speech 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. 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.
Effortlessly convert Catalan speech into clear and professional 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 Speech to Text Software powered by AI in 2026
In the evolving landscape of digital content creation, efficient and accurate transcription and subtitling tools have become indispensable. Among the various languages that content creators are focusing on, Catalan stands out due to its cultural richness and growing demand. As content creators recognize the importance of reaching diverse audiences, tools that offer Catalan speech-to-text capabilities have gained significant attention. This article delves into the intricacies of Catalan speech-to-text technology, outlining its benefits, challenges, and the essential factors content creators should consider.
Understanding Catalan Speech-to-Text Technology
Catalan speech-to-text technology refers to software solutions that convert spoken Catalan language into written text. This technology leverages advanced algorithms, including artificial intelligence and machine learning, to recognize and transcribe spoken words accurately. By automating the transcription process, these tools save time and enhance the productivity of content creators who work with Catalan audio or video content.
The Importance of Catalan Speech-to-Text for Content Creators
1. Expanding Audience Reach: Catalan is spoken by millions of people, primarily in Catalonia, the Balearic Islands, and Valencia. By providing subtitles or transcriptions in Catalan, content creators can tap into this audience, enhancing engagement and accessibility.
2. Cultural Relevance: Offering content in Catalan not only respects the linguistic diversity of the region but also resonates with audiences on a cultural level. It demonstrates a commitment to inclusivity and cultural sensitivity, which can strengthen a brand’s reputation.
3. Improved SEO Performance: Transcribing audio content into text can significantly boost SEO efforts. Search engines index text more effectively than audio, so having a Catalan transcription can improve the visibility of content on platforms like Google, leading to higher organic traffic.
Key Features to Look for in Catalan Speech-to-Text Tools
1. Accuracy and Reliability: The cornerstone of any effective speech-to-text tool is its accuracy. Look for tools that boast high accuracy rates in transcribing Catalan, particularly those that can handle various dialects and accents.
2. User-Friendly Interface: A well-designed interface can make the transcription process seamless. Tools that offer intuitive navigation and easy integration with other software can significantly enhance user experience.
3. Customization Options: The ability to tailor the transcription output to specific needs is crucial. This includes options for adjusting the text format, integrating speaker identification, and modifying vocabulary databases to include industry-specific terms.
4. Real-Time Transcription: For live events or broadcasts, real-time transcription capabilities are essential. This feature enables content creators to provide immediate subtitles or transcriptions, thereby improving accessibility and audience engagement.
Challenges in Catalan Speech-to-Text Technology
While Catalan speech-to-text tools offer numerous advantages, they also come with challenges that content creators must navigate:
1. Dialectal Variations: Catalan has several dialects, each with distinct phonetic and lexical characteristics. Ensuring that a speech-to-text tool can handle these variations is vital for maintaining transcription accuracy.
2. Background Noise and Accents: Like any language, Catalan speech-to-text technology can struggle with audio quality issues such as background noise or strong accents. Selecting tools equipped with noise-cancellation features and robust accent recognition is essential.
3. Continuous Learning and Updates: Language is constantly evolving, with new words and phrases emerging. A speech-to-text tool should have a mechanism for continuous learning and updates to incorporate these linguistic changes.
Best Practices for Using Catalan Speech-to-Text Tools
1. Clear Audio Quality: Ensure that the audio input is of high quality. Minimize background noise and use high-quality microphones to improve transcription accuracy.
2. Regular Reviews and Edits: Even the most advanced tools may not achieve 100% accuracy. Regularly review and edit transcriptions to correct any errors and ensure the final output meets quality standards.
3. Integration with Other Tools: Leverage the integration capabilities of speech-to-text tools with other software such as video editing platforms, content management systems, and translation services to streamline workflows.
Conclusion
Catalan speech-to-text technology is a powerful ally for content creators aiming to reach Catalan-speaking audiences. By understanding the importance, features, and challenges of these tools, content creators can make informed decisions that enhance their content’s accessibility and engagement. As this technology continues to evolve, staying updated with the latest advancements will ensure that content creators remain at the forefront of digital communication, delivering culturally relevant and linguistically inclusive content.
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