Meetings & calls
Business teams
Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.
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.
Convert Catalan audio into accurate and organized text quickly. 98% accuracy.




















Interview recording
M4A · 58:12 · uploaded
Transcript
We're moving the launch to the first week of June.
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
Not a feature list — the things that decide whether a transcript is usable without listening again.
The flow is the same — what differs is the deliverable: a transcript, minutes, subtitles or a summary.
Meetings & calls
Summaries, decisions and action items on top of the transcript — shared while the meeting is still fresh.
Videos & podcasts
One transcript becomes subtitles, show notes and quotable lines, ready for every platform you publish on.
Interviews
Quotes must be verbatim and attributed to the right speaker — and ready well before the deadline lands.
Lectures
Long recordings arrive summarized and searchable, so revision starts at the point that actually matters.
Upload, pick the language, let the AI transcribe, then check and export. Everything happens in the browser.
Concrete specifics rather than adjectives — check these against whatever you use today.
In today's digital age, content creators are constantly seeking efficient ways to enhance accessibility and reach broader audiences. One valuable tool in this endeavor is transcription software, which converts spoken language into written text. For content creators working with Catalan-language media, understanding the nuances of Catalan transcription is essential. This comprehensive guide aims to provide insights into the world of Catalan transcription, exploring its significance, challenges, and the best practices for leveraging transcription software effectively. Understanding Catalan Transcription Catalan, a Romance language spoken predominantly in Catalonia, Valencia, and the Balearic Islands, holds cultural and linguistic significance in these regions. Transcribing Catalan audio or video content can serve several purposes, such as improving accessibility for the hearing-impaired, enhancing SEO strategies, and preserving linguistic heritage. Catalan transcription involves converting spoken Catalan into its written form, capturing the essence and accuracy of the original speech. The Importance of Catalan Transcription 1. Enhancing Accessibility: Transcription makes content accessible to individuals with hearing impairments, ensuring they can consume and understand multimedia content without barriers. 2. Boosting SEO and Discoverability: Search engines cannot index audio or video content, but they can index text. By providing transcriptions, content becomes more discoverable, improving search engine rankings and reaching a wider audience. 3. Facilitating Content Repurposing: Transcriptions can serve as a foundation for creating derivative content, such as blog posts, articles, or social media snippets, maximizing the utility of original content. 4. Preserving Linguistic Heritage: Documenting spoken Catalan contributes to preserving its linguistic heritage, helping in educational and cultural initiatives. Challenges in Catalan Transcription Transcribing Catalan audio or video content presents unique challenges: - Dialectal Variations: Catalan has several dialects, including Central Catalan, Valencian, and Balearic, each with its own phonetic and lexical differences. Accurate transcription requires understanding these variations. - Technical Vocabulary: Certain fields, such as technology or medicine, might have specific terminology that requires precise transcription to maintain the content's integrity. - Background Noise and Audio Quality: Poor audio quality or background noise can hinder the transcription process, requiring additional effort to ensure clarity and accuracy. Best Practices for Catalan Transcription 1. Choosing the Right Software: Selecting a transcription tool that supports Catalan is crucial. Look for software that offers high accuracy, understands dialectal variations, and provides editing capabilities to fine-tune the transcription. 2. Proofreading and Editing: Automated transcriptions may not always be perfect. It's important to proofread and edit the transcribed text to correct any errors, ensuring the final document accurately reflects the original content. 3. Leveraging Human Expertise: For complex or critical projects, consider involving professional transcribers with expertise in Catalan to ensure the highest level of accuracy and quality. 4. Maintaining Consistency: Establish a style guide for transcription, outlining conventions for punctuation, capitalization, and handling of non-verbal cues, to maintain consistency across documents. 5. Utilizing Technology: Advanced AI-powered transcription tools often come with features like speaker recognition and timestamping, which can enhance the usability of transcriptions. Conclusion Catalan transcription is a powerful tool for content creators aiming to enhance accessibility, improve SEO, and preserve linguistic heritage. While challenges exist, understanding best practices and leveraging the right tools can make the process efficient and effective. By prioritizing accuracy and quality, content creators can ensure their Catalan-language media reaches and resonates with a diverse audience, ultimately contributing to a more inclusive digital landscape.
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.
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
Stop retyping what was said.